top of page

Filter publications

01 / Journal record

Journal Publications

IEEE Journal PapersVenue guide
  • IEEE Trans. on Wireless Communications: Flagship journal in wireless communications, IF = 10.4
  • IEEE Sel. Areas in Communications (JSAC): High-impact journal, IF = 16.8
  • IEEE Trans. on Signal processing: Flagship journal in wireless communications, IF = 5.5
  • IEEE Trans. on Communications: Flagship journal in communications, IF = 8.4

Broad-scope Journal Papers

  1. •

    Y. Shao, Z. Wang, and K. Huang*, “Computing with Wireless Channels,” (Invited Article), Nature Reviews Electrical Engineering, to appear.

  2. •

    Y. Wang*, J. Pei, Z. Qin, K. Huang, D. Niyato, G. Li, C. Feng, P. Wang, and C. Kang, “Goal-Oriented Communications for Future Cyber-Physical Systems,” Nature Reviews Electrical Engineering, to appear.

  3. •

    Z. Xu, J. Liu, S. Huang, Z. Li, S. Wang, B. Wen, R. Mao, M. Jiang, G. Pedretti, J. Ignowski, K. Huang, Can Li*, “Fault-Free Analog Computing with Imperfect Hardware,” Nature Electronics, to appear.

  4. •

    Q. Zeng, J. Zhang, Z. Chu, and K. Huang*, "Towards ubiquitous radio access using nanodiamond based quantum receivers," Communications Engineering, 4, 60 (2025).

  5. •

    P. Popovski*, F. Chiariotti, K. Huang, A. E. Kalør, M. Kountouris, N. Pappas, and B. Soret, “A Perspective on Time towards Wireless 6G,” Proceedings of the IEEE, vol. 10, no. 8, pp. 116-1146, Aug. 2022.

  6. •

    Y. Mao, X. Yu, K. Huang, Y.J. Zhang, and J. Zhang*, “Green Edge AI: A Contemporary Survey,” Proceedings of the IEEE, vol. 112, no. 7, pp 880-911, July 2024.

7G: Quantum Wireless Receivers

  1. •

    M. Cui, Q. Zeng, and K. Huang*, “A Theory of Single-Antenna Atomic Beamforming,” IEEE J. Sel. Areas in Communications, to appear.

  2. •

    M. Cui, Q. Zeng, Z. Wang, K. Huang*, “Realizing Quantum Wireless Sensing Without Extra Reference Sources: Architecture, Algorithm, and Sensitivity Maximization,” IEEE Trans. Signal Processing, vol. 74, pp. 1570-1585, 2026.

  3. •

    M. Cui, Q. Zeng, M. Chen, Z. Wang, T. Mao, D. Zheng, K. Huang*, "Rydberg Atomic Receivers for Multi-Band Communications and Sensing," IEEE Transactions on Wireless Communi., vol. 25, pp. 13384-13400, 2026.

  4. •

    M. Chen, T. Mao*, W. Xiao, Z. Wu, D. Li, M. Cui, Q. Zeng, D. Zheng, K. Huang, and Z. Wang, ``Calibration-free Rydberg Atomic Receiver for Sub-MHz Wireless Communications and Sensing,” IEEE Trans. on Vehicular Tech., to appear.

  5. •

    M. Cui, Q. Zeng, and K. Huang*, “Towards Atomic MIMO Receivers,” IEEE J. Sel. Areas in Communication, vol 43, no 3, pp 659-673, Mar. 2025.

6G: Space AI

  1. •

    Q. Chen, Z. Wang, X. Chen, J. Wen, D. Zhou, S. Ji, M. Sheng, K. Huang*, "Space–Ground Fluid AI for 6G Edge Intelligence," (Invited Article) Engineering, vol. 54, no. 11, pp. 14-19, Nov. 2025.

  2. •

    Q. Chen, X. Chen*, and K. Huang*, "FedMeld: A Model-dispersal Federated Learning Framework for Space-ground Integrated Networks," IEEE Transactions on Mobile Computing, vol. 25, no. 6, pp. 8221-8234, June 2026.

  3. •

    Z. Wang, H. Yang, M. Sheng, K. B. Letaief, K. Huang*, “SpaceMoE: Realizing Distributed Mixture-of-Experts Inference over Space Networks,” arXiv preprint arXiv:2605.00515, 2026.

  4. •

    Q. Chen, X. Chen, M. Sheng, K. Huang*, “SpaceMoE: Towards Orbital General Intelligence with Distributed Mixture-of-Experts Inference,” arXiv preprint arXiv:2605.16849, 2026.

  5. •

    Jierui Zhang, Jianhao Huang, Zhanwei Wang, Kaibin Huang*, “Space Generative AI with Solar Energy Harvesting,” arXiv preprint arXiv:2609.01062, 2026.

6G: Over-the-Air Computing

  1. •

    J. Zhang, J. Huang, and K. Huang*, “Channel-Adaptive Edge AI: Maximizing Inference Throughput by Adapting Computational Complexity to Channel States,” IEEE Transactions on Communi., to appear.

  2. •

    Z. Wang, M. Cui, H. Yang, Q. Zeng, M. Sheng, K. Huang*, “AirBreath Sensing: Protecting Over-the-Air Distributed Sensing Against Interference,” IEEE Transactions on Communi., vol. 25, pp. 17415-17429, 2026.

  3. •

    Z. Wang, J. Yao, W. Xu*, W. Shi, and K. Huang, “Digitalizing Over-the-Air Computation via the Novel Complement Coded Modulation,” IEEE Comm. Letters, vol. 30, pp. 812-816, 2026.

  4. •

    A. Perez-Neira*, M. Martinez-Gost, A. Sahin, S. Razavikia, C. Fischione, K. Huang, “Waveforms for Computing Over the Air: A groundbreaking approach that redefines data aggregation,” IEEE Signal Processing Magazine, no. 2, vol. 42, pp. 57-77, Mar. 2025.

  5. •

    J. Yao, W. Xu*, G. Zhu, Z. Yang, K. Huang, and D. Niyato, "Over-the-Air Multi-task Federated Learning via Cost-Effective Hybrid Beamforming," IEEE Trans. on Signal Processing, vol. 73, pp. 3977-3993, 2025.

  6. •

    J. Yao, W. Xu*, G. Zhu, Z. Yang, K. Huang, and D. Niyato, "Over-the-Air Multi-task Federated Learning via Cost-Effective Hybrid Beamforming," IEEE Trans. on Signal Processing, vol. 73, pp. 3977-3993, 2025.

  7. •

    Z. Liu, Q. Lan, and K. Huang*, “Over-the-Air Fusion of Sparse Spatial Features for Integrated Sensing and Edge AI over Broadband Channels," IEEE Trans. on Wireless Communications, vol. 24, no. 4, pp. 2999-3013, April 2025.

  8. •

    D. Wen, Y. Zhou, X. Li, Y. Shi*, K. Huang, Khaled B. Letaief,, “A Survey on Integrated Sensing, Communication, and Computation,” IEEE Commun. Surveys & Tutorials, vol. 27, no. 5, pp. 3058-3098, Oct. 2025.

  9. •

    J. Liu, Y. Gong, and K. Huang*, "Digital Over-the-Air Computation: Achieving High Reliability via Bit-Slicing,” IEEE Trans. on Wireless Communications, vol. 24, no. 5, pp. 4101-4114, May 2025.

  10. •

    Z. Wang, Y. Eldar, K. Huang*, “Spectrum Breathing: Protecting Over-the-Air Federated Learning Against Interference,” IEEE Trans. on Wireless Communications, vol. 23, no. 8, pp. 10058-10071, Aug. 2024.

  11. •

    Z. Liu, Q. Lan, A. E. Kalør, P. Popovski, and K. Huang*, “Over-the-Air Multi-View Pooling for Distributed Sensing,” IEEE Trans. on Wireless Communications, vol. 23, no. 7, pp. 7652-7667, July 2024.

  12. •

    D. Wen*, X. Jiao, P. Liu, G. Zhu, Y. Shi, and K. Huang, “Task-Oriented Over-the-Air Computation for Multi-Device Edge AI,” IEEE Trans. on Wireless Communications, vol. 23, no. 3, pp. 2039-2053, March 2024.

  13. •

    X. Shi*, J. Du, J. Wang, K. Huang, T. Q. S. Quek,“Beamforming Design for Massive MIMO-Aided Over-the-Air Computation: A Mutual Information Perspective,” IEEE Trans. on Wireless Communications, vol. 23, no. 10, pp. 14335-14349 , Oct. 2024.

  14. •

    X. Li, F. Liu, Z. Zhou, G. Zhu, S. Wang, K. Huang, and Yi Gong*, “Integrated Sensing, Communication, and Computation Over-the-Air: MIMO Beamforming Design,” IEEE Trans. on Wireless Communications, vol. 22, no. 8, pp. 5383-5398, Aug. 2023.

  15. •

    X. Li, Y. Gong*, K. Huang, and Z. Niu, “Over-the-Air Integrated Sensing, Communication, and Computation in IoT Networks,” IEEE Wireless Communications Magazine, vol. 30, no. 1, pp. 32-38, February 2023.

  16. •

    Z. Lin, Y. Gong, and K. Huang*, “Distributed Over-the-air Computing for Fast Distributed Optimization: Beamforming Design and Convergence Analysis,” IEEE J. Sel. Areas in Commun., vol. 41, no. 1, pp. 274-287, Jan. 2023.

  17. •

    X. Chen, E. G. Larsson, K. Huang*, “On-the-Fly Communication-and-Computing for Distributed Tensor Decomposition Over MIMO Channels,” IEEE Trans. on Signal Processing, vol. 71, pp. 4192-4206, 2023.

  18. •

    Z. Zhang, G. Zhu, R. Wang, V. K. N. Lau, and K. Huang*, “Turning Channel Noise into an Accelerator for Over-the-Air Principal Component Analysis,” IEEE Trans. on Wireless Communications, vol. 21, no. 10, pp. 7926-7941, Oct. 2022.

  19. •

    G. Zhu*, J. Xu, K. Huang, S. Cui, “Over-the-Air Computing for Wireless Data Aggregation in Massive IoT”, IEEE Wireless Communications Magazine, vol. 28, no. 4, pp. 57-65, August 2021.

  20. •

    G. Zhu, Y. Du, D. Gunduz, and K. Huang*, ”One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis”, IEEE Trans. on Wireless Comm., vol. 20, no. 3, pp. 2120-2135, Mar. 2021.

  21. •

    X. Cao, G. Zhu, J. Xu*, K. Huang, “Cooperative Interference Management for Over-the-Air Computation Networks,” IEEE Trans. on Wireless Comm., vol. 20, no. 4, pp. 2634-2651, Apr. 2021.

  22. •

    X. Cao, G. Zhu, J. Xu*, and K. Huang, “Optimal Power Control for Over-the-Air Computation in Fading Channels,” IEEE Trans. on Wireless Comm., vol. 19, no. 11, pp. 7498-7513, Nov. 2020.

  23. •

    G. Zhu, Y. Wang, and K. Huang*, “Broadband Analog Aggregation for Low-Latency Federated Edge Learning,” IEEE Trans. on Wireless Comm., vol. 19, no. 1, pp. 491-506, Jan. 2020.

  24. •

    Q. Lan, H. S. Kang, and K. Huang*, “Simultaneous Signal-and-Interference Alignment for Two-Cell Over-the-Air Computation”, IEEE Wireless Communications Letters, vol. 9, no. 9, pp. 1342-1345, Sept. 2020.

  25. •

    D. Wen, G. Zhu, and K. Huang*, “Reduced-Dimension Design of MIMO Over-the-Air Computing for Data Aggregation in Clustered IoT Networks”, IEEE Trans. on Wireless Comm., vol. 18, no. 11, pp. 5255-5268, Nov. 2019.

  26. •

    X. Li, G. Zhu, Y. Gong, and K. Huang*, “Wirelessly Powered Data Aggregation for IoT via Over-the-Air Functional Computation: Beamforming and Power Control,” IEEE Trans. on Wireless Comm., vol. 18, no. 7, pp. 3437 - 3452, July 2019.

  27. •

    G. Zhu and K. Huang*, “MIMO Over-the-Air Computation for High-Mobility Multi-Modal Sensing”, IEEE Internet of Things Journal, vol. 6, no. 4, pp. 6089 - 6103, Aug. 2019.

6G - Edge AI

  1. •

    T. Yu*, K. Huang, T. Wang, J. Li, S. Zhang, S. Han, X. Wang, Q. Zeng, K. Huang, V. K. N. Lau, “TREE: Token-Responsive Energy Efficiency Framework for Green AI-Integrated 6G Networks,” IEEE Wireless Communi. Magazine, to appear.

  2. •

    Z. Wang, Q. Zeng, H. Zheng, K. Huang*, “Revisiting Outage for Edge Inference Systems,” IEEE Trans. on Communi., vol. 74, pp. 10111-10125, 2026.

  3. •

    J. Huang, Q. Zeng, H. Du, K. Huang*, “Generative Feature Imputing — A Technique for Error-resilient Semantic Communication,” IEEE on Wireless Commun., vol. 25, pp. 18410-18423, 2026

  4. •

    S. Xie, D. Wen*, X. Liu, C. You, T. Ratnarajah, and K. Huang, “Federated Dropout: Convergence Analysis and Resource Allocation,” IEEE on Wireless Comm, vol. 25, pp. 18669-18684, 2026.

  5. •

    G. Qu, Z. Lin, Q. Chen, J. Li, F. Liu, X. Chen, K. Huang, “TrimCaching: Parameter-sharing Edge Caching for AI Model Downloading,” IEEE Trans. on Networking, vol. 34, pp. 5207-5222, 2026.

  6. •

    Z. Cai, H. Chen, G. Zhu*, Q. Shi, and K. Huang, “FeedSign: Robust Full-parameter Federated Fine-tuning of Large Models with Extremely Low Communication Overhead of One Bit,” IEEE Trans. Mobile Computing, to appear.

  7. •

    F. You, H. Du*, K. Huang, A. Jamalipour, “JPPO++: Joint Power and Denoising-inspired Prompt Optimization for Mobile LLM Services,” IEEE Trans. on Mobile Computing., vol. 25, no. 8, pp. 12159-12174, Aug. 2026.

  8. •

    Y. Tian*, Z. Qin, G. Lv, Y. Jin, K. Huang, Z. Han, "Large Speech Model Enabled Semantic Communication," IEEE Trans. on Mobile Computing., vol. 25, no. 8, pp. 11600-11614, Aug. 2026.

  9. •

    H. Yang, Z. Wang, and K. Huang*, "Optimal Batch-Size Control for Low-Latency Federated Learning with Device Heterogeneity," IEEE Transactions on Communi., vol. 74, pp. 5232-5247, 2026.

  10. •

    Q. Chen, X. Chen*, K. Huang, “SlimCaching: Edge Caching of Mixture-of-Experts for Distributed Inference,” IEEE Transactions on Mobile Computing, vol. 25, no. 7, pp. 10924-10938, July 2026.

  11. •

    Y. Zhou, C. You, K. Huang*, "Communication Efficient Cooperative Edge AI via Event-Triggered Computation Offloading," IEEE Transactions on Communi., vol. 74, pp. 3190-3205, 2026.

  12. •

    Z. Lyu, Y. Gao*, J. Chen, H. Du, J. Xu, K. Huang, D.-I. Kim, “Empowering Intelligent Low-altitude Economy with Large AI Model Deployment,” IEEE Wireless Communications Magazine, vol. 33, no. 1, pp. 64-72, Feb. 2026.

  13. •

    X. Wang*, H. Du, L. Feng, K. Huang, “Energy-Efficient RSMA-enabled Low-altitude MEC Optimization Via Generative AI-enhanced Deep Reinforcement Learning,” IEEE Trans. on Cognitive Commun. and Networking, vol. 12, pp. 3005-3020, 2026.

  14. •

    J. Zhang, J. Huang, K. Huang*, “LoLaFL: Low-Latency Federated Learning via Forward-only Propagation,” IEEE Trans. on Wireless Communications, vol. 25, pp. 6617-6632, 2026.

  15. •

    F. You, H. Du*, X. Hou, Y. Ren, K. Huang, “DRESS: Diffusion Model-based Reward Shaping Scheme For Intelligent Networks,” IEEE Trans. on Signal Processing, vol. 73, pp 4285-4300, 2025.

  16. •

    Z. Liu and K. Huang*, “Semantic-Relevance Based Sensor Selection for Edge-AI Empowered Sensing Systems,” IEEE Trans. on Wireless Communications, vol. 25, pp. 3721-3735, 2026.

  17. •

    Y. Cang, M. Chen, and K. Huang*, “Over-the-Air Computation for Realizing Neural Link in In-network AI Architectures,” IEEE Trans. on Wireless Communications, vol. 25, pp. 2373-2388, 2026.

  18. •

    Z. Wang, A. E., Kalor, P. Popovski, K. Huang*, "Ultra-Low-Latency Edge Inference for Distributed Sensing," IEEE Trans. on Wireless Communications, vol. 25, pp. 1908-1922, 2026.

  19. •

    Z. Liu, X. Chen, H. Wu, Z. Wang, D. Niyato, K. Huang*, "Integrated Sensing and Edge AI: Realizing Intelligent Perception in 6G," IEEE Commun. Surveys & Tutorials, vol. 28, pp. 2725-2770, 2026.

  20. •

    Y. Liu, G. Liu, R. Zhang, D. Niyato, Z. Xiong, D. Kim, K. Huang, H. Du*, “Hallucination-aware Optimization for Large Language Model-empowered Communications,” IEEE Communications Magazine, vol. 64, no. 3, pp. 24-31, March 2026.

  21. •

    Z. Lin, G. Qu, Q. Chen, X. Chen*, Z. Chen, K. Huang, “Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities,” IEEE Comm. Magazine, vol. 63, no. 9, pp. 52-59, September 2025.

  22. •

    J. Yao*, W. Xu, G. Zhu, K. Huang, and S. Cui “Energy-Efficient Edge Inference in Integrated Sensing, Communication, and Computation Networks,” IEEE J. Sel. Areas in Communications, vol. 43, no. 10, pp. 3580-3595, Oct. 2025.

  23. •

    H. Wu, X. Chen, and K. Huang*, “Resource Management for Low-latency Cooperative Fine-tuning of Foundation Models at the Network Edge,” IEEE Trans. on Wireless Communications, vol. 24, no. 6, pp. 4839-4852, June 2025.

  24. •

    G. Qu, W. Wei, Z. Lin, X. Chen*, and K. Huang, “Mobile Edge Intelligence for Large Language Models: A Contemporary Survey,” IEEE Commun. Surveys & Tutorials, vol. 27, no. 6, pp. 3820-3860, Dec. 2025.

  25. •

    N. Wang, Y. Teng*, and K. Huang, “Integrating Data Collection, Communication, and Computation for Importance-Aware Online Edge Learning Tasks,” IEEE Trans. on Wireless Communications, vol. 24, no. 3, pp. 2606-2619, March 2025.

  26. •

    Q. Zeng, Z. Wang, Y. Zhou, H. Wu, L. Yang, K. Huang, ”Knowledge-Based Ultra-Low-Latency Semantic Communications for Robotic Edge Intelligence,” IEEE Trans. on Communications, vol. 73, no. 7, pp. 4925-4940, July 2025.

  27. •

    J. Huang, K. Yuan, C. Huang, K. Huang*, “D^2-JSCC: Digital Deep Joint Source-Channel Coding for Semantic Communications,” IEEE J. Sel. Areas in Communi., vol 43, no 4, pp 1246-1261, Apr. 2025.

  28. •

    X. Xu*, R. Zhong, X. Mu, Y. Liu, K. Huang, “Mobile Edge Generation-Enabled Digital Twin: Architecture Design and Research Opportunities,” IEEE Comm. Magazine, vol. 63, no. 4, pp. 32-39, April 2025.

  29. •

    Z. Lin, L. Yang, Y. Gong*, and K. Huang*, “Semantic-Topology Preserving Quantization of Word Embeddings for Human-to-Machine Communications,” IEEE Trans. on Communications, vol. 73, no. 4, pp. 2401-2415, April 2025.

  30. •

    Z. Hu, C. You*, T. Liu, D. Wen, Y. Hu, Y. Cui, Y. Gong, K. Huang, “Semantic Communication Meets Edge Intelligence: Semantic-Relay-Aided Text Transmissions,” IEEE IoT Journal, vol. 11, no. 24, pp. 39409-39423, 15 Dec.15, 2024.

  31. •

    Y. Cang, M. Chen, and K. Huang*, “Joint Batching and Scheduling for High-Throughput Multiuser Edge AI with Asynchronous Task Arrivals,” IEEE Trans. on Wireless Communications, vol. 23, no. 10, pp. 13782-13795, Oct. 2024.

  32. •

    X. Chen, K. B. Letaief, K. Huang*, “On the View-and-Channel Aggregation Gain in Integrated Sensing and Edge AI,” IEEE J. Sel. Areas in Commun., vol. 42, no. 9, pp. 2292-2305, Sept. 2024.

  33. •

    H. Wu, X. Chen, and K. Huang*, “Device-Edge Cooperative Fine-Tuning of Foundation Models as a 6G Service,” IEEE Wireless Communications Magazine, vol. 31, no. 3, pp. 60-67, June 2024.

  34. •

    H. Wu, Q. Zeng, and K. Huang*, ”Efficient Multiuser AI Downloading via Reusable Knowledge Broadcasting,” IEEE Trans. on Wireless Communications, vol. 23, no. 8, pp. 10459-10472, Aug. 2024.

  35. •

    Z. Lin, G. Zhu, Y. Deng, X. Chen*, Y. Gao, K. Huang, and Y. Fang, “Efficient Parallel Split Learning over Resource-constrained Wireless Edge Networks,” IEEE Trans. Mobile Computing, vol. 23, no. 10, pp. 9224-9239, Oct. 2024.

  36. •

    H. Xie, M. Xia*, P. Wu, S. Wang, K. Huang, “Decentralized Federated Learning with Asynchronous Parameter Sharing for Large-scale IoT Networks,” IEEE IoT Journal, vol 11, no. 21, pp 34123 - 34139, Nov. 2024.

  37. •

    Z. Lin, G. Qu, X. Chen*, and K. Huang, “Split Learning in 6G Edge Networks,” IEEE Wireless Communications, vol. 31, no. 4, pp. 170-176, August 2024.

  38. •

    H. Wu, R. He, H. Tan, X. Qi, K. Huang*, “Vertical Layering of Quantized Neural Networks for Heterogeneous Inference,” IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 45, no. 12, pp. 15964-15978, Dec. 2023.

  39. •

    H. Xing*, G. Zhu, D. Liu, H. Wen, K. Huang, K. Wu, “Task-Oriented Integrated Sensing, Computation and Communication for Wireless Edge AI,” IEEE Network Magazine, vol. 37, no. 4, pp. 135-144, July/August 2023.

  40. •

    D. Gunduz, F. Chiariotti, K. Huang, A. E. Kalør, S. Kobus, and P. Popovski*, “Timely and Massive Communication in 6G: Pragmatics, Learning, and Inference,” IEEE BITS the Information Theory Magazine, vol. 3, no. 1, pp. 27-40, March 2023.

  41. •

    K. Huang*, Q. Lan, Z. Liu, and L. Yang, “Semantic Data Sourcing for 6G Edge Intelligence,” IEEE Communications Magazine, vol. 61, no. 12, pp. 70-76, December 2023.

  42. •

    Z. Liu, Q. Lan, K. Huang*, “Resource Allocation for Multiuser Edge Inference with Batching and Early Exiting,” IEEE J. of Sel. Areas in Communi,., vol. 41, no. 4, pp. 1186-1200, April 2023.

  43. •

    Q. Lan, Q. Zeng, P. Popovski, D. Gündüz, K. Huang*, “Progressive Feature Transmission for Split Inference at the Wireless Edge,” IEEE Trans. on Wireless Communi., vol. 22, no. 6, pp. 3837-3852, June 2023.

  44. •

    K. Huang*, H. Wu, Z. Liu, and X. Qi, “In-situ Model Downloading to Realize Versatile Edge AI in 6G Mobile Networks,” IEEE Wireless Communications Magazine, vol. 30, no. 3, pp. 96-102, June 2023.

  45. •

    S. Huang, Z. Zhang, S. Wang, R. Wang*, K. Huang, “Accelerating Federated Edge Learning via Topology Optimization,” IEEE Internet-of-Things Journal, vol. 10, no. 3, pp. 2056-2070, Feb. 2023.

  46. •

    X. Li, S. Wang, G. Zhu, Z. Zhou, K. Huang, Y. Gong*, “Data Partition and Rate Control for Learning and Energy Efficient Edge Intelligence,” IEEE Trans. on Wireless Communications, vol. 21, no. 11, pp. 9127-9142, Nov. 2022.

  47. •

    D. Wen, K. J. Jeon, and K. Huang*, ”Federated Dropout — A Simple Approach for Enabling Federated Learning on Resource Constrained Devices,” Wireless Communication Letters, pp. 923-927, vol. 11, no. 5, 2022.

  48. •

    Z. Lin, X. Li, Y. Gong, V. K. N. Lau, and K. Huang*, ”Deploying Federated Learning in Large-Scale Cellular Networks: Spatial Convergence Analysis,” IEEE Trans. on Wireless Communications, vol. 21, no. 3, pp. 1542-1556, March 2022.

  49. •

    Q. Zeng, Y. Du, and K. Huang*, “Wirelessly Powered Federated Edge Learning: Optimal Tradeoffs Between Convergence and Power Transfer,” IEEE Trans. on Wireless Communications, vol. 21, no. 1, pp. 680-695, Jan. 2022.

  50. •

    X. Chen, E. G. Larsson, K. Huang*,“Analog MIMO Communication for One-shot Distributed Principal Component Analysis,” IEEE Transactions on Signal Processing, vol. 70, pp. 3328-3342, 2022.

  51. •

    M. Chen*, D. Gündüz, K. Huang, W. Saad, M. Bennis, A. V. Feljan, H. V. Poor, “Distributed Learning in Wireless Networks: Recent Progress and Future Challenges,” IEEE J. of Sel. Areas in Communications, vol. 39, no. 12, pp. 3579-3605, Dec. 2021.

  52. •

    D. Wen, K. Jeon, M. Bennis, and K. Huang*, “Adaptive Subcarrier, Parameter, and Power Allocation for Partitioned Edge Learning Over Broadband Channels,” IEEE Trans. on Wireless Communications, vol. 20, no. 12, pp. 8348-8361, Dec. 2021.

  53. •

    Q. Zeng, Y. Du, K. Huang*, and K. K. Leung, “Energy-Efficient Resource Management for Federated Edge Learning with CPU-GPU Heterogeneous Computing,” IEEE Trans. on Wireless Communications, vol. 20, no. 12, pp. 7947-7962, Dec. 2021.

  54. •

    Q. Lan, Y. Du, P. Popovski and K. Huang*, "Capacity of Remote Classification over Wireless Channels," IEEE Trans. Commun., vol. 69, no. 7, pp. 4489-4503, July 2021.

  55. •

    D. Liu, G. Zhu, J. Zhang, and K. Huang*, “Wireless Data Acquisition for Edge Learning: Data-Importance Aware Retransmission,” IEEE Trans. on Wireless Comm., vol. 20, no. 1, pp. 406-420, Jan. 2021.

  56. •

    D. Liu, G. Zhu, J. Zhang, and K. Huang*, "Data-Importance Aware User Scheduling for Communication-Efficient Edge Machine Learning”, IEEE Trans. on Cognitive Commun. and Networking., vol. 7, no. 1, pp. 265-278, Mar. 2021.

  57. •

    J. Ren, Y. He, D. Wen, G. Yu*, K. Huang, and D. Guo, “Scheduling for Cellular Federated Edge Learning with Importance and Channel Awareness,” IEEE Trans. on Wireless Comm., vol. 19, no. 11, pp. 7690-7703, Nov. 2020.

  58. •

    D. Wen, M. Bennis, and K. Huang*, ”Joint Parameter-and-Bandwidth Allocation for Improving the Efficiency of Partitioned Edge Learning,” IEEE Trans. on Wireless Comm., vol. 19, no. 12, pp. 8272-8286, 2020.

  59. •

    Y. Du, S. Yang, and K. Huang*, ”High-Dimensional Stochastic Gradient Quantization for Communication-Efficient Edge Learning”, IEEE Trans. on Signal Processing, vol. 68, pp. 2128-2142, Mar. 2020.

  60. •

    G. Zhu, D. Liu, Y, Du, C. You, J. Zhang, and K. Huang*, "Toward an Intelligent Edge: Wireless Communication Meets Machine Learning”, IEEE Communications Magazine, vol. 58, no. 1, pp. 19-25, Jan. 2020.

  61. •

    Y. Du and K. Huang*, “Fast Analog Transmission for High-Mobility Wireless Data Acquisition in Edge Learning”, IEEE Wireless Comm. Letters, vol. 8 , no. 2 , pp. 468 - 471, April 2019.

5G: Mobile Edge Computing

  1. •

    Z. Liang, Y. Liu, T. Lok, and K. Huang*, “A Two-Timescale Approach to Mobility Management for Multi-Cell Mobile Edge Computing,” IEEE Trans. on Wireless Communications, vol. 21, no. 12, 1536-1276, Dec. 2022.

  2. •

    Z. Liang, Y. Liu*, T.-M. Lok, and K. Huang, “Multi-Cell Mobile Edge Computing: Joint Service Migration and Resource Allocation,” IEEE Trans. on Wireless Comm., vol. 69, no. 7, pp. 4489-4503, July 2021.

  3. •

    S. Huang, B. J. Lyu, R. Wang*, and K. Huang, “Scheduling for Mobile Edge Computing with Random User Arrivals – An Approximate MDP and Reinforcement Learning Approach”, IEEE Trans. on Veh. Technology, vol. 69, no. 7, pp. 7735-7750, July 2020.

  4. •

    S. Ko, K. Han, and K. Huang*, “Wireless Networks for Mobile Edge Computing: Spatial Modelling and Latency Analysis”, IEEE Trans. on Wireless Commun., vol. 17, no. 8, pp. 5225-5240, 2018.

  5. •

    C. You, K. Huang*, H. Chae and B. Kim, “Energy-Efficient Resource Allocation for Mobile-Edge Computation Offloading”, vol. 16, no. 3, pp. 1397-1411, IEEE Trans. on Wireless Commun., 2017.

  6. •

    Y. Mao, C. You*, J. Zhang, K. Huang, K. B. Letaief, “A Survey on Mobile Edge Computing: The Communication Perspective”, IEEE Commun. Surveys & Tutorials, vol. 19, no. 4, pp. 2322-2358, 2017.

  7. •

    C. You, K. Huang* and H. Chae, “Energy Efficient Mobile Cloud Computing Powered by Wireless Energy Transfer”, IEEE J. Sel. Areas in Commun., vol. 34, no. 5, pp 1757-1771, May 2016.

  8. •

    Zezu Liang, Yuan Liu*, Tat-Ming Lok, K. Huang, “Multiuser Computation Offloading and Downloading for Edge Computing with Virtualization”, IEEE Trans. on Wireless Comm., vol. 18, no. 9, pp. 4298-4311, 2019.

  9. •

    Y. Tao, C. You, P. Zhang, and K. Huang*, “Stochastic Control of Computation Offloading to a Helper with a Dynamically loaded CPU,” IEEE Trans. on Wireless Commun., vol. 18, no. 2, pp. 1247-1262, Feb. 2019.

  10. •

    C. You, Y. Zeng, R. Zhang and and K. Huang*, “Asynchronous Computation Offloading: Energy Efficient Resource Management”, IEEE Trans. on Wireless Commun., vol. 17, no. 11, pp. 7590-7605, 2018.

  11. •

    C. You and K. Huang*, “Exploiting Non-Causal CPU-State Information for Energy-Efficient Mobile Cooperative Computing,” IEEE Trans. on Wireless Commun., vol. 17, no. 6, pp. 4104 - 4117, 2018.

  12. •

    S. Ko, K. Huang*, S.-L. Kim and H. Chae, “Live Prefetching for Mobile Computation Offloading”, IEEE Trans. on Wireless Commun., vol. 16, no. 5, pp. 3057-3071, 2017.

4G: Wirelessly Powered Communications

  1. •

    Z. Zhou, X. Li*, G. Zhu, J. Xu, K. Huang, and S. Cui, “Integrating Sensing, Communication, and Power Transfer: Multiuser Beamforming Design,” IEEE J. Sel. Areas in Commun., vol. 42, no. 9, pp. 2228-2242, Sept. 2024.

  2. •

    X. Li*, Z. Han, G. Zhu, Y. Shi, J. Xu, Y. Gong, Q. Zhang, K. Huang, K. Letaief, “Integrating Sensing, Communication, and Power Transfer: From Theory to Practice,” IEEE Communications Magazine, vol. 62, no. 9, pp. 122-127, September 2024.

  3. •

    B. Clerckx*, K. Huang, L. R. Varshney, S. Ulukus, and M.-S. Alouini, “Wireless Power Transfer for Future Networks: Signal Processing, Machine Learning, Computing, and Sensing,” IEEE J. of Sel. Topics in Signal Processing, vol. 15, no. 5, pp. 1060-1094, Aug. 2021.

  4. •

    S. Wang, M. Xia, K. Huang and Y.-C. Wu*, “Wirelessly Powered Two-Way Communication With Nonlinear Energy Harvesting Model: Rate Regions Under Fixed and Mobile Relay,” IEEE Trans. on Wireless Commun., no. 12, vol. 16, pp. 8190-8204, 2017.

  5. •

    K. Han and K. Huang*, “Wirelessly Powered Backscatter Communication Networks: Modeling, Coverage and Capacity”, IEEE Trans. on Wireless Commun., vol. 16, no. 4, pp. 2548-2561, 2017.

  6. •

    K. Huang* and Xiangyun Zhou, “Cutting Last Wires for Mobile Communication by Microwave Power Transfer”, IEEE Communications Magazine, vol. 53, no. 6, pp. 86-93, June 2015.

  7. •

    K. Huang* and V. K. N. Lau, “Enabling Wireless Power Transfer in Cellular Networks: Architecture, Modeling and Deployment”, IEEE Trans. on Wireless Comm., vol. 13, no. 2, pp. 902-912, 2014.

  8. •

    X. Li, C. You, S. Andreev, Y. Gong, and K. Huang*, “Wirelessly Powered Crowd Sensing: Joint Power Transfer, Sensing, Compression, and Transmission”, IEEE J. Sel. Areas in Commun., vol. 37, no. 2, pp. 391 - 406, 2019.

  9. •

    O. Galinina, K. Mikhaylov, K. Huang, S. Andreev*, and Y. Koucheryavy, “Wirelessly Powered Urban Crowd Sensing over Wearables: Trading Energy for Data”, IEEE Wireless Communizations, vol. 25, no. 2, pp. 120-149, 2018.

  10. •

    K. Huang*, C. Zhong and G. Zhu, “Some New Research Trends in Wirelessly Powered Communications”, IEEE Wireless Communi., vol. 23, no. 2, pp. 19-27, May 2016.

  11. •

    S. Ulukus*, A. Yener, E. Erkip, O. Simeone, M. Zorzi, P. Grover and K. Huang, “Energy Harvesting Wireless Communications: A Review of Recent Advances”, IEEE J. Sel. Areas in Comm., vol. 33, no. 3, pp. 360-381, Mar. 2015.

  12. •

    K. Huang*, M. Kountouris and V. O. K. Li, “Renewable Powered Cellular Networks: Energy Field Modeling and Network Coverage”, IEEE Trans. on Wireless Comm., vol. 14, no. 8, pp. 4234-4247, Aug. 2015.

  13. •

    K. Huang* and E. G. Larsson, “Simultaneous Information and Power Transfer for Broadband Wireless Systems”, IEEE Trans. on Signal Processing vol. 61, no. 23, pp. 5972-5986, Dec. 2013.

  14. •

    S. Lee, R. Zhang* and K. Huang, “Opportunistic Wireless Energy Harvesting in Cognitive Radio Networks”, IEEE Trans. on Wireless Communi., vol. 12, no. 9, pp. 4788-4799, Sep. 2013.

  15. •

    K. Huang*, “Spatial Throughput of Mobile Ad Hoc Networks with Energy Harvesting”, IEEE Trans. on Information Theory, vol. 59, no. 11, pp. 7597-7612, Nov. 2013.

Stochastic Geometry & Wireless Networking

  1. •

    K. Han, K. Huang*, Y. Cui, and Y. Wu “The Connectivity of Millimeter-Wave Networks in Urban Environments Modeled Using Random Lattices”, IEEE Trans. on Wireless Commun., vol. 17, no. 5, pp. 3357-3372, 2018.

  2. •

    J. Wen, M. Sheng*, K. Huang, J. Li, “Effects of Base-Station Spatial Interdependence on Interference Correlation and Network Performance” IEEE Trans. on Commun., Vol. 66, No. 7, pp. 3092 - 3107, 2018.

  3. •

    D. Liu and K. Huang*, “Mitigating Interference in Content Delivery Networks by Spatial Signal Alignment: The Approach of Shot-Noise Ratio,” IEEE Trans. on Wireless Commun., vol. 17, no. 4, pp. 2305-2318, 2018.

  4. •

    J. Wen, K. Huang*, Y. Sheng, and V. Li “Cache-Enabled Heterogeneous Cellular Networks: Optimal Tier-Level Content Placement”, vol. 16, no. 9, pp. 5939-5952, IEEE Trans. on Wireless Commun, 2017.

  5. •

    K. Huang* and J. G. Andrews, “An Analytical Framework for Multi-Cell Cooperation via Stochastic Geometry and Large Deviations”, IEEE Trans. on Information Theory, vol. 59, no. 4, pp. 2501-2516, Apr. 2013.

  6. •

    S. Lee and K. Huang*, “Coverage and Economy of Cellular Networks with Many Base Stations”, IEEE Communi. Letters, vol. 16, no. 7, pp. 1038-1040, Jul. 2012.

  7. •

    K. Huang*, J. G. Andrews, R. W. Heath, Jr., D. Guo, and R. A. Berry “Spatial Interference Cancellation for Multi-Antenna Mobile Ad Hoc Networks”, IEEE Tans. on Information Theory, vol. 58, no. 3, pp. 1660-1676, Mar. 2012.

  8. •

    K. Huang*, V. K. N. Lau, and Y. Chen, “Spectrum Sharing between Cellular and Mobile Ad Hoc Networks: Transmission- Capacity Trade-Off”, IEEE J. Sel. Areas in Commun., vol. 27, no. 7, pp. 1256-1267, July 2009.

MIMO Limited Feedback

  1. •

    K. Huang*, R. W. Heath Jr., and J. G. Andrews, “Limited Feedback Beamforming over Temporally-Correlated Channels”, IEEE Tans. on Signal Processing, vol. 55, no. 5, pp. 1959-1975, May 2009.

  2. •

    K. Huang*, R. W. Heath, Jr., and J. G. Andrews, “Performance of Orthogonal Beamforming for SDMA with Limited Feedback”, IEEE Trans. on Vehicular Technology, vol. 58, no. 1, pp. 3879-3891, Jan. 2009.

  3. •

    K. Huang*, R. W. Heath, Jr., and J. G. Andrews, “Space Division Multiple Access with a Sum Feedback Rate Constraint”, IEEE Trans. on Signal Processing, vol. 55, no. 7, pp. 3879-3891, Jul. 2007.

  4. •

    S. Cho, K. Huang*, H. Chae, D. Kim, V. K. N. Lau, H. Seo and B. Kim, “Feedback-Topology Designs for Interference Alignment in MIMO Interference Channels”, IEEE Trans. on Signal Processing, vol. 60, no. 12, pp. 6561-6575, Dec. 2012.

  5. •

    K. Huang* and V. K. N. Lau, “Stability and Delay of Zero-Forcing SDMA with Limited Feedback”, IEEE Trans. on Information Theory, vol. 58, no. 10, pp. 6499-6514, Oct. 2012.

  6. •

    S. Cho, K. Huang*, D. Kim, and H. Seo, “Interference Alignment for Uplink Cellular Systems with Limited Feedback”, IEEE Communi. Letters, vol. 16, no. 7, pp. 960-963, Jul. 2012.

  7. •

    K. Huang* and R. Zhang, “Cooperative Precoding with Limited Feedback for MIMO Interference Channels”, IEEE Trans. Wireless Comm., vol. 11, no. 3, pp. 1012-2021, Mar. 2012.

  8. •

    K. Huang*, V. K. N. Lau, and D. Kim, “Stochastic Control of Event-Driven Feedback in Multi-Antenna Interference Channels”, IEEE Trans. on Signal Processing, vol. 59, no. 12, pp. 6112 - 6126, Dec. 2011.

  9. •

    K. Huang* and R. Zhang, “Cooperative Feedback for Multi-Antenna Cognitive Radio Networks”, IEEE Trans. on Signal Processing, vol. 59, no. 2, pp. 747-758, Feb. 2011.

  10. •

    K. Huang*, V. K. N. Lau, and D. Kim, “Event-Driven Optimal Feedback Control for Multi-Antenna Beamforming”, IEEE Trans. on Signal Processing, vol. 58, no. 6, pp. 3298 - 3312, Jun. 2010.

Other Topics

  1. •

    H. Wang, X. Shi, H. Zhang, Y. Cao, J. Wang*, K. Huang, “BeamCKM: A Framework of Channel Knowledge Map Construction for Multi-Antenna Systems,” IEEE Trans. on Wireless Communications, to appear.

  2. •

    C. Chen, S. Gong*, Z. Liu, B. Gu, Y. Fang, K. Huang, “Continual DRL on Dynamic Graphs for UAV-Assisted Multi-User 360 VR Video Streaming,” IEEE Trans. Mobile Computing, to appear.

  3. •

    Y. Wang, Z. Gao*, S. Wang, Y. Su, D. Zheng, K. Huang, T. Quek, M.-S. Alouini, “Unsourced and Sourced Massive Connectivity for Airship-Borne Low-Altitude Wireless MIMO Network: Iterative Detection or Deep Unfolding?” IEEE J. of Sel. Topics in Signal Proc., to appear.

  4. •

    T. Ding, Q. Zeng, and K. Huang*, “In-Memory Computing Enabled Deep MIMO Detection to Support Ultra-Low-Latency Communications,” to appear in IEEE on Mobile Computing., 2026.

  5. •

    C. Zhou, C. You*, Z. Huang, S. Shi, Y. Gong, C.-B. Chae, K. Huang, “Multi-beam Training for Near-field Communications in High-frequency Bands: A Sparse Array Perspective,” IEEE Trans. on Wireless Communications, vol. 25, pp. 6937-6953, 2026.

  6. •

    R. Xu, Z. Yang*, Z. Zhang, M. Shikh-Bahaei, K. Huang, D. Niyato “Energy Efficient Fluid Antenna Relay (FAR)-Assisted Wireless Communications,” IEEE J. Sel. Areas in Communications, vol. 44, pp. 1160-1176, 2026.

  7. •

    A. E. Kalør*, , P. Popovski, and K. Huang, “Data Sourcing Random Access using Semantic Queries for Massive IoT Scenarios,” IEEE Trans. on Wireless Communications, vol. 73, no. 12, pp. 14381-14396, Dec. 2025.

  8. •

    H.-J. Moon, H. Yoo, K. Huang, C.-B. Chae*, R. W. Heath Jr., “MAP-X: Massive Field Data Processing for Real-Time Wide-Area Mapping Using High-Altitude Platforms with MIMO,” IEEE Trans. on Wireless Communications, vol. 25, pp. 4358-4373, 2026.

  9. •

    Z. Zhou, X. Li*, G. Zhu, B. Zhou, H. Xing, and K. Huang, "Integrated Sensing-Communication-Computation Design for Energy Efficient Data Processing," IEEE Transactions on Network Science and Engineering, vol. 13, pp. 4172-4186, 2026.

  10. •

    Z. Han*, X. Li, G. Zhu, K. Huang, Y. Gong, and Q. Zhang, "An Energy-Efficient Wireless Communication and Control Co-design for WNCS," IEEE Trans. on Wireless Communications, vol. 25, pp. 1798-1812, 2026.

  11. •

    M Cui*, Z Zhang, L Dai, K. Huang, “Ice-Filling: Near-Optimal Channel Estimation for Dense Array Systems,” IEEE Trans. on Wireless Communications, vol. 24, no. 10, pp. 8551-8564, Oc. 2025.

  12. •

    X. Yuan*, H. Tian, X. Zhang, H. Du, N. Zhang, K. Huang, L. Cai,“Digital Twin-Driven MADRL Approaches for Communication-Computing-Control Co-Optimization,” IEEE J. Sel. Areas in Communications, vol. 43, no. 10, pp. 3596-3611, Oct. 2025.

  13. •

    Z. Zhao*, Z. Yang, Y. Hu, C. Zhu, M. Shikh-Bahaei, W. Xu, , Z. Zhang, K. Huang, “Compression Ratio Allocation for Probabilistic Semantic Communication with RSMA,” IEEE Trans. on Communications, vol. 73, no. 9, pp. 7304-7318, Sept. 2025.

  14. •

    M. Zhang*, G. Zhu, R. Jin, X. Chen, Q. Shi, C. Zhong, K. Huang, “Beamforming Design for Semantic-Bit Coexisting Communication System,” IEEE J. Sel. Areas in Communi., vol 43, no 4, pp 1262-1277, April 2025.

  15. •

    C. Feng, K. Zheng, Y. Wang, K. Huang, Q. Chen*, “Goal-Oriented Wireless Communication Resource Allocation for Cyber-Physical Systems,” IEEE Trans. on Wireless Communications, vol. 23, no. 11, pp. 15768-15783, 2024.

  16. •

    Y. Zeng, Y. Gong*, J. Liu, S. Lin, Z. Han, R. Cao, Kaibin Huang, and K. B. Letaief, “Multi-Channel Attentive Feature Fusion for Radio Frequency Fingerprinting,” IEEE Trans. on Wireless Communications, vol. 23, no. 5, pp. 4243-4254, May 2024.

  17. •

    Z. Han*, X. Li, Z. Zhou, K. Huang, Y. Gong, and Q. Zhang, “Wireless Communication and Control Co-Design for System Identification,” IEEE Trans. on Wireless Communications, vol. 23, no. 5, pp. 4114-4126, May 2024.

  18. •

    M. Kim, J. Lee*, and K. Huang, “Precoding Design for Ensuring Fresh Data in Multi-user MISO Systems,” IEEE Trans. on Wireless Communications, vol. 23, no. 3, pp. 2383-2395, March 2024.

  19. •

    Q. Zeng, J. Liu, M. Jiang, J. Lan, Y. Gong, Z. Wang, Y. Li, C. Li, J. Ignowski, and K. Huang*, “Realizing In-Memory Baseband Processing for Ultra-Fast and Energy-Efficient 6G,” IEEE Internet-of-Things Journal, vol. 11, no. 3, pp. 5169-5183, 2024.

  20. •

    X. Li, G. Zhu, K. Han, Y. Gong*, K. Huang, “Energy Efficient Wireless Crowd Labelling: Joint Annotator Clustering and Power Control,” IEEE Trans. on Wireless Communications, vol. 22, no. 3, pp. 2022-2035, March 2023.

  21. •

    Z. Zhou, X. Li, C. You, K. Huang, Y. Gong*, “Joint Sensing and Communication-Rate Control for Energy Efficient Mobile Crowd Sensing,” IEEE Trans. on Wireless Communications, vol. 22, no. 2, pp. 1314-1327, Feb. 2023.

  22. •

    H. Jeon, S. Park, J. Park, K. Huang, C. Chae*, “An Energy-efficient Aerial Backhaul System with Reconfigurable Intelligent Surface,” IEEE Trans. on Wireless Communications, vol. 21, no. 8, pp. 6478-6494, Aug. 2022.

  23. •

    Z. Zhang, S.-W. Ko, R. Wang, and K. Huang*, “Cooperative Multi-Point Vehicular Positioning Using Millimeter-Wave Surface Reflection”, IEEE Trans. on Wireless Comm., vol. 20, no. 4, pp. 2221-2236, Apr. 2021.

  24. •

    S. Huang, S. Wang, R. Wang*, M. Wen, and K. Huang, ”Reconfigurable Intelligent Surface Assisted Mobile Edge Computing with Heterogeneous Learning Tasks,” IEEE Trans. on Cognitive Commun. and Networking, vol. 7, no. 2, pp. 369-382, June 2021.

  25. •

    S.-W. Ko*, H. Chae, K. Han, S. Lee, D.-W., Seo, and K. Huang, “V2X-Based Vehicular Positioning: Opportunities, Challenges, and Future Directions,” IEEE Wireless Communications, vol. 28, no. 2, pp. 144-151, April 2021.

  26. •

    J. Shiraishi*, H. Yomo, K. Huang, C. Stefanovic, and P. Popovski, “Content-based Wake-up for Top-k Query in Wireless Sensor Networks”, IEEE Trans. on Green Comm. and Networking, no. 1, vol. 5, pp. 362-377, Mar. 2021.

  27. •

    Juan Wen*, Min Sheng, Jiandong Li, Kaibin Huang, “Assisting for Intelligent Wireless Networks with Traffic Prediction: Exploring and Exploiting Predictive Causality in Wireless Traffic,” IEEE Commun. Magazine, vol. 58, no. 6, pp. 26-31, June 2020.

  28. •

    X. Li, G. Zhu, K. Shen, Y. Wei, Y. Gong*, and K. Huang*, “Joint Annotator-and-Spectrum Allocation in Wireless Networks for Crowd Labelling,” IEEE Trans. on Wireless Comm., no. 9, vol. 19, pp. 6116-6129, Sep. 2020.

  29. •

    Q. Lan, B. Lv, R. Wang*, K. Huang, and Y. Gong, “Adaptive Video Streaming for Massive MIMO Networks via Approximate MDP and Reinforcement Learning,” IEEE Trans. on Wireless Comm., no. 9, vol. 19, pp. 5716-5731, Sep. 2020.

  30. •

    M. Chen*, Y. Hao, K. Huang, V. K. N. Lau, S. Mao, and J. Song, “Green and Mobility-aware Caching in 5G Networks”, IEEE Trans. on Wireless Commun., no. 12, vol. 16, pp. 8347-8361, 2017.

  31. •

    Z. Zhang, Y. Li, R. Wang*, and K. Huang, “Rate Adaptation for Downlink Massive MIMO Networks and Underlaid D2D Links: A Reinforcement Learning Approach,” IEEE Trans. on Wireless Commun., vol. 18 , no. 3 , pp. 1819 - 1833, Mar. 2019.

  32. •

    K. Han, K. Huang, R. W. Heath Jr.*, “Connectivity and Blockage Effects in Millimeter-Wave Air-To-Everything Networks”, IEEE Wireless Comm. Letters, vol. 8 , no. 2, pp. 388 - 391, April 2019.

  33. •

    S. Andreev*, V. Petrov, K. Huang, M. A. Lema, and M. Dohler, “Dense Moving Fog for Intelligent IoT: Key Challenges and Opportunities,” IEEE Commun. Magazine, vol. 57 , no. 5, pp. 34 - 41, May 2019.

  34. •

    Y. Du, G. Zhu, J. Zhang, and K. Huang*, “Automatic Recognition of Space-Time Constellation by Learning on the Grassmann Manifold”, IEEE Trans. on Signal Processing, vol. 66, no. 22, pp. 6031-6046, 2018.

  35. •

    G. Zhu, S. Ko, K. Huang*, “Inference from Randomized Transmissions by Many Backscatter Sensors”, IEEE Trans. on Wireless Commun., vol. 17, no. 5, pp. 3111-3127, 2018.

  36. •

    C. Yang, B. Xia*, W. Xie, K. Huang, Y. Yao, and Y. Zhao, “Interference Cancellation at Receivers in Cache-Enabled Wireless Networks,” IEEE Trans. Vehicular Tech., no. 1, vol. 67, pp. 842-846, 2018.

  37. •

    G. Zhu, K. Huang, V. Lau, B. Xia, X. Li* and S. Zhang, “Hybrid beamforming via the kronecker decomposition for the millimeter-wave massive MIMO systems”, IEEE J. Sel. Areas in Comm., vol. 35, no. 9, pp. 2097-2114, 2017.

  38. •

    W. Liu, K. Huang*, X. Zhou, and S. Durrani “Full-Duplex Backscatter Interference Networks Based on Time-Hopping Spreading Spectrum”, IEEE Trans. on Wireless Commun., vol. 16, no. 7, 2017.

  39. •

    L. Mucchi*, L. Ronga, X. Zhou, K. Huang, Y. Chen, and R. Wang, “A New Metric for Measuring the Security of an Environment: The Secrecy Pressure”, IEEE Trans. on Wireless Commun., vol. 16, no. 5, pp. 3416-3430, 2017.

  40. •

    G. Zhu and K. Huang*, “Analog Spatial Cancellation for Tackling the Near-Far Problem in Wirelessly Powered Communications”, IEEE J. Sel. Areas in Commun., vol. 34, no. 12, pp. 3566-3576, 2017.

  41. •

    K. Huang*, J. Chen and V. K. N. Lau, “Communication Using a Large-Scale Array of Ubiquitous Antennas: A Geometry Approach”, IEEE Trans. on Signal Processing, vol. 64, no. 14, pp. 3635-3650, March 2016.

  42. •

    Y. Chen*, R. Wang, L. Mucchi and K. Huang, “Modelling Network Interference in the Angular Domain: Interference Azimuth Spectrum”, IEEE Trans. Comm., vol. 62, no. 6, pp. 2107 - 2120, 2014.

  43. •

    S. Cho, W. Choi*, and K. Huang, “QoS Provisioning Relay Selection in Random Relay Networks”, IEEE Trans. on Vehicular Technology, vol. 60, no. 6, pp. 2680-2689, Jul. 2011.

  44. •

    K. Huang*, “Supplementary Proof for ‘Exact and Approximate Construction of Digital Phase Modulations by Superposition of AMP’ by P. A. Laurent”, IEEE Trans. on Comm., vol 53, pp234-237, Feb 2005.

02 / Conference recordInternational Conference Papers (Peer Reviewed)

Peer-reviewed conference publications, kept secondary to the journal record.

  1. •

    Y. Zhou, Q. Zeng, and K. Huang, “Parametric-Sensitivity Awareness: Accelerating AI Downloading via Intelligent Retransmission" Proc. of IEEE GLOBECOM, Macao, Dec. 2026

  2. •

    Z. Cai, H. Chen, G. Zhu, Q. Shi, and K. Huang, “FeedSign: Robust and Communication-Efficient Federated Fine-tuning of Large Models for Edge AI,” Proc. of IEEE ICC 2026.

  3. •

    H. Yang, Z. Wang, and K. Huang, “Low-Latency Federated Learning via Adaptive Batch-Size Control under Device Heterogeneity,” Proc. of IEEE ICC 2026.

  4. •

    J. Huang, Q. Zeng, H. Du, and K. Huang, “Generative Feature Imputing for Loss-Resilient Semantic Communication,” Proc. of IEEE ICC 2026.

  5. •

    Q. Zeng, Z. Wang, J. Huang, K. Huang, and K. Leung, “A Source-Channel Tradeoff in Ultra-Low-Latency Edge Intelligent Sensing,” Proc. of IEEE ICC 2026.

  6. •

    Z. Wang, M. Cui, H. Yang, Q. Zeng, M. Sheng, and K. Huang, “AirBreath sensing: Toward robust and spectrum-efficient over-the-air distributed sensing,” Workshop on Task-Oriented and Generative Communications for 6G, IEEE ICC, May 2026.

  7. •

    Z. Zhao, Z. Wang, L. Han, J. Jin, and K. Huang, “A Spatio-Temporal-Frequency Transformer Framework for near-Field Target Recognition,” Workshop Near-Field Communications, Localization, and Sensing at IEEE ICC 2026.

  8. •

    M. Cui, Q. Seng, Z. Wang, and K. Huang, “Quantum self-heterodyne sensing for Rydberg Atomic Receiver,” Proc. of IEEE GLOBECOM 2025.

  9. •

    Z. Wang, Q. Zeng, H. Zheng, M. Cui, and K. Huang, “Minimizing Inference Outage Probability for Edge Intelligent Systems,” Proc. of IEEE GLOBECOM 2025.

  10. •

    R. Gu, R. Xie, W. Xu, Z. Yang, and K. Huang, “Channel-Aware Deep Learning for Superimposed Pilot Power Allocation and Receiver Design,” Proc. IEEE Veh. Techn. Conf. (VTC-Spring), 2025.

  11. •

    J. Yao, W. Xu, G. Zhu, Z. Yang, K. Huang, and D. Niytao, "Quantized analog beamforming enabled multi-task federated learning over-ther-air," Proc. IEEE Veh. Techn. Conf. (VTC-Spring), 2025.

  12. •

    M. Yang, G. Liang, D. Liu, L. Zhang and K. Huang, “Channel Capacity-Aware Distributed Encoding for Multi-View Sensing and Edge Inference,” Proc. of IEEE ICC 2025.

  13. •

    M. Cui, Z. Zhang, K. Huang, and L. Dai, “Channel Estimation for Dense Array Systems via Ice-Filling,” Workshop on Intelligent Movable and Reconfigurable Antennas for Future Wireless Communication and Sensing, IEEE ICC 2025.

  14. •

    J. Zhang, J. Huang, and K. Huang, “LoLaFL: Low-Latency Federated Learning via Forward-only Propagation,” Workshop on Task-Oriented and Generative Communications for 6G, IEEE ICC 2025.

  15. •

    Y. Zhou, C. You, and K. Huang, “Event-Triggered Offloading: Enabling Communication-Efficient Cooperative Edge AI,” Workshop on Task-Oriented and Generative Communications for 6G, IEEE ICC 2025.

  16. •

    S. Xie, D. Wen, X. Liu, C. You, T. Ratnarajah, K. Huang, “Convergence Analysis for Federated Dropout,” Proc. of IEEE GLOBECOM 2024.

  17. •

    M. Cui, Q. Zeng, and K. Huang, “Multi-User SIMO Wireless Communications Based on Atomic Receivers,” Proc. of IEEE GLOBECOM 2024.

  18. •

    Q. Zeng, Z. Wang, Y. Zhou, H. Wu, L. Yang, K. Huang, ”Ultra-Low-Latency Feature Transmission for Edge Inference,” Proc. of IEEE GLOBECOM 2024.

  19. •

    Z. Hu, S. Kang, Q. Zeng, K. Huang, Y. Yang, “InfoNet: Neural Estimation of Mutual Information without Test-Time Optimization,” (Oral Presentation) Intl. Conf. on Machine Learning (ICML), Jul 21– Jul 27, Vienna, Austria, 2024.

  20. •

    Guanqiao Qu, Zheng Lin, Fangming Liu, Xianhao Chen and Kaibin Huang, “TrimCaching: Parameter-sharing AI Model Caching in Wireless Edge Networks”, Proc. of IEEE Intl. Conf. on Distributed Computing Systems, 23 July - 26 July, Jersey City, New Jersey, USA.

  21. •

    H. Wu, Q. Zeng, and K. Huang, “Communication-efficient Multiuser Ai Downloading Via Reusable Knowledge Broadcasting,” Proc. of Int. Workshop on Signal Processing Advances in Wireless Commu. (SPAWC 2023), Shanghai, China, 25-28 Sep. 2023.

  22. •

    Z. Liu, Q. Lan, A. E. Kalør, P. Popovski, K. Huang, “Over-the-air View-pooling For Low-latency Distributed Sensing”, Proc. of Int. Workshop on Signal Processing Advances in Wireless Commu. (SPAWC 2023), Shanghai, China, 25-28 Sep. 2023.

  23. •

    Z. Liu, Q. Lan, and K. Huang, “Resource Allocation for Batched Multiuser Edge Inference with Early Exiting" Proc. of IEEE ICC 2023.

  24. •

    W. Ni, J. Zheng, Y. C. Eldar, C. You, and K. Huang, “Semi-federated learning for heterogeneous IoT: Framework, transceiver design, and research opportunities,” Proc. Of IEEE ICASSP 2023.

  25. •

    X. Li, Z. Han, Z. Zhou, Q. Zhang, K. Huang, Y. Gong, “Wirelessly Powered Integrated Sensing and Communication,” 1st ACM Mobicom Workshop on Integrated Sensing and Communication Systems (ACM ISACom 2022), 2022.

  26. •

    X. Li, S. Wang, G. Zhu, Z. Zhou, K. Huang, and Y. Gong, “Learning and Energy Efficient Edge Intelligence: Data Partition and Rate Control,” Proc. of IEEE ICC 2022, Seoul, 2022.

  27. •

    W. Ni, Y. Liu, H. Tian, Y. C. Eldar, and K. Huang, “SemiFL: Semi-Federated Learning Empowered by Simultaneously Transmitting and Reflecting Reconfigurable Intelligent Surface”, Proc. of IEEE ICC 2022, Seoul, 2022.

  28. •

    X. Li, G. Zhu, K. Han, Y. Gong, K. Huang, ”Joint Annotator Clustering and Power Control for Energy-Efficient Wireless Crowd Labelling,” Proc. of IEEE GLOBECOM 2021 Workshop on Wireless Communications for Distributed Intelligence, Dec 7-11, Madrid, 2021.

  29. •

    S. Huang, S. Wang, R. Wang and K. Huang, ”Joint Topology and Computation Resource Optimization for Federated Edge Learning,” Proc. of IEEE GLOBECOM 2021 Workshop on Towards Native-AI Wireless Networks, Dec 7-11, Madrid, 2021.

  30. •

    H. Jeon, S. Park, J. Park, C. Chae, and K. Huang, “RIS-assisted Aerial Backhaul System for UAV-BSs: An Energy-efficiency Perspective”, Proc. of IEEE GLOBECOM 2021, Dec 7-11, Madrid, 2021.

  31. •

    (Invited Paper) Q. Zeng, Y. Du, and K. Huang, “Wirelessly Powered Federated Edge Learning,” IEEE 22nd Intl. Workshop on Signal Processing Advances in Wireless Communi. (SPAWC) 2021 (virtual).

  32. •

    (Invited Paper) Z. Zhang, R. Wang, V. K. N. Lau, L. Sun, T. Li, and K. Huang, “Turning Channel Noise into an Accelerator for Over-the-Air Principal Component Analysis,” IEEE 22nd Intl. Workshop on Signal Processing Advances in Wireless Communi. (SPAWC) 2021 (virtual).

  33. •

    (Invited Paper) Z. Lin, X. Li, V. K. N. Lau, Y. Gong, and K. Huang, “Spatial Convergence of Federated Learning in Large-Scale Cellular Networks,” IEEE 22nd Intl. Workshop on Signal Processing Advances in Wireless Communi. (SPAWC) 2021 (virtual).

  34. •

    S. Huang, S. Wang, R. Wang, M. Wen, and K. Huang, ”Reconfigurable Intelligent Surface Assisted Mobile Edge Computing with Heterogeneous Learning Tasks,” IEEE Interl. Conf. on Communications (ICC), Virtual / Montreal, Canada, 14-23 June, 2021.

  35. •

    Z. Liang, Y. Liu, K. Huang, T. M. Lok, “Service Migration for Multi-Cell Mobile Edge Computing,” IEEE GLOBECOM 2020, Taipei, Taiwan, Dec. 7 - 11, 2020.

  36. •

    D. Wen, M. Bennis, K. Huang, “Accelerating Partitioned Edge Learning via Joint Parameter-and-Bandwidth Allocation,” IEEE GLOBECOM 2020, Taipei, Taiwan, Dec. 7 - 11, 2020.

  37. •

    G. Zhu, Y. Du, D. Gunduz, and K. Huang, “One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning,” IEEE GLOBECOM 2020, Taipei, Taiwan, Dec. 7 - 11, 2020.

  38. •

    J. Ren, Y. He, D. Wen, G. Yu, K. Huang, D. Guo, “Importance- and Channel-Aware Scheduling in Cellular Federated Edge Learning,” 54th Asilomar Conf. on Signals, Sys. and Computers, Asilomar, CA, Nov. 1-4, 2020.

  39. •

    R. Jiang, S. Zhou and Kaibin Huang, “Achieving Cooperative Diversity in Over-the-Air Computation via Relay Selection,” IEEE Vehicular Technology Conf. Fall, Victoria, BC, Canada, Oct. 4 – 7, 2020.

  40. •

    Q. Lan, B. Lv, R. Wang, and K. Huang, “Adaptive Video Streaming for Massive MIMO Networks via Novel Approximate MDP”, Proc. of IEEE Intl. Conf. on Communication (ICC), (Virtual Conference), 7-11 June 2020.

  41. •

    Q. Zeng, Y. Du, K. Huang, K. K. Leung, “Energy-Efficient Radio Resource Allocation for Federated Edge Learning”, Proc. of IEEE ICC Workshop on Edge Machine Learning for 5G Mobile Networks and Beyond, (Virtual Conference), 7-11 June 2020.

  42. •

    D. Liu, G. Zhu, J. Zhang, and K. Huang, “Exploiting Diversity Via Importance-Aware User Scheduling For Fast Edge Learning”, Proc. of IEEE ICC Workshop on Edge Machine Learning for 5G Mobile Networks and Beyond, (Virtual Conference), 7-11 June 2020.

  43. •

    Z. Zhang, Y. Li, R. Wang, Y. Chen, and K. Huang, “Learning-based Rate Adaptation for Uplink Massive MIMO with A Cooperative Data-Assisted Detector”, Proc. of IEEE Globecom 2019, Hawaii, Dec. 2019.

  44. •

    D. Wen, G. Zhu, and K. Huang, “Reduced-Dimension Design of MIMO AirComp for Data Aggregation in Clustered IoT Networks”, Proc. of IEEE Globecom 2019, Hawaii, Dec. 2019.

  45. •

    Z. Zhang, S. Ko, R. Wang, Kaibin Huang, “Millimeter-Wave Multi-Point Vehicular Positioning for Autonomous Driving”, Proc. of IEEE Globecom 2019, Hawaii, Dec. 2019.

  46. •

    X. Cao, G. Zhu, J. Xu, and K. Huang, “Optimal Power Control for Over-the-Air Computation”, Proc. of IEEE Globecom 2019, Hawaii, Dec. 2019.

  47. •

    Y. Du, Y. Sheng, K. Huang, “High-Dimensional Stochastic Gradient Quantization for Communication-Efficient Edge Learning”, Proc. of IEEE GlobalSIP, Ottawa, Nov. 2019.

  48. •

    Z. Liang, Y. Liu, T. Lok, K. Huang, “I/O Interference Aware Multiuser Computation Offloading for Virtualized Edge Computing”, Proc. of IEEE Intl. Conf. on Communication, Shanghai, China, May 2019.

  49. •

    K. Huang, G. Zhu, C. You, J. Zhang, Y. Du, and D. Liu, “Communication, Computing, and Learning on the Edge”, Proc. of IEEE Intl. Conf. on Communication Systems, Chengdu, China, Dec. 2018. (Invited paper)

  50. •

    Y. Cho, K. Huang, and C. Chae, ”V2X Downlink Coverage Analysis with a Realistic Urban Vehicular Model”, Proc. of IEEE GLOBECOM 2018 Workshops: Emerging Technologies for 5G and Beyond Wireless and Mobile Networks, Abu Dhabi, 2018.

  51. •

    X. Li, G. Zhu, Y. Gong, and K. Huang, ”Wirelessly Powered Over-the-Air Computation for High-Mobility Sensing”, Proc. of IEEE GLOBECOM 2018 Workshops: Wireless Energy Harvesting Communication Networks, Abu Dhabi, 2018.

  52. •

    Q. Tao, C. Zhong, K. Huang, J. Zhao, X. Chen and Z. Zhang, “Ambient Backscatter Communications Systems Using MFSK Modulation”, proc. of 2018 IEEE/CIC Intl. Conf. on Comm. in China (ICCC), Beijing, China, August 16-18, 2018.

  53. •

    Y. Du, G. Zhu, J. Zhang, and K. Huang, ”Automatic Recognition of Space-Time Constellations by Learning on the Grassmann Manifold,”, Prof. of IEEE Globecom 2018, Abu Dhabi, Dec. 2018.

  54. •

    G. Zhu, L. Chen, and K. Huang, ”MIMO Over-the-Air Computation: Beamforming Optimization on the Grassmann manifold”, IEEE Globecom 2018, Abu Dhabi, Dec. 2018.

  55. •

    K. Han, S. Ko, and K. Huang, “Spatial Modeling and Latency Analysis for Mobile Edge Computing in Wireless Networks”, Proc. of IEEE ICC 2018, Kansas City, USA, May 2018.

  56. •

    X. Li, C. You, S. Andreev, G. Yi, K. Huang, “Optimizing Wirelessly Powered Crowd Sensing: Trading Energy for Data”, Proc. of IEEE ICC 2018 Workshop on Energy Harvesting Wireless Communications , Kansas City, USA, May 2018.

  57. •

    G. Zhu, S. Ko, and K. Huang, “Backscatter Sensing by Inference from Randomized Transmissions”, Proc. of IEEE ICC 2018 Workshop on Promises and Challenges for Machine Learning in Communication Networks, Kansas City, USA, May 2018.

  58. •

    C. You and K. Huang, “Energy-Efficient Peer-to-Peer Computation Offloading Based on Non-Causal CPU-State Information”, Proc. of IEEE ICC 2018 Workshop on Information-Centric Edge Computing and Caching for Future Networks, Kansas City, USA, May 2018.

  59. •

    Y. Tao, C. You, P. Zhang and K. Huang, “Stochastic Control of Computation Offloading to a Dynamic Helper”, Proc. of IEEE ICC 2018 Workshop on Information-Centric Edge Computing and Caching for Future Networks, Kansas City, USA, May 2018.

  60. •

    C. You, Z. Yong, R. Zhang and K. Huang, “Resource Management For Asynchronous Mobile-Edge Computation Offloading”, Proc. of IEEE ICC 2018 Workshop on Information-Centric Edge Computing and Caching for Future Networks, Kansas City, USA, May 2018.

  61. •

    J. Wen, K. Huang, S. Yang, and V. O. K. Li, “Optimizing Tier-Level Content Placement in Heterogeneous Networks”, IEEE Globecom 2017, Singapore, 2017.

  62. •

    D. Liu and K. Huang, “Harnessing Interference in Content Delivery by Spatial Signal Alignment”, IEEE Globecom 2017, Singapore.

  63. •

    K. Han, K. Huang, Y. Cui, and Y. Wu, “The Connectivity of Millimeter-Wave Networks in Manhattan-Type Regions”, IEEE Globecom 2017, Singapore.

  64. •

    L. Mucchi, L. S. Ronga, K. Huang, Y. Chen, and R. Wang, “A New Physical-layer Security Measure - Secrecy Pressure”, IEEE Globecom 2017, Singapore.

  65. •

    W. Liu, K. Huang, X. Zhou, and S. Durrani, “Time-Hopping Multiple-Access for Backscatter Interference Networks”, IEEE Globecom 2017, Singapore.

  66. •

    G. Zhu, K. Huang, V. Lau, B. Xia, X. Li and S. Zhang, “Analog Beamforming via Kronecker Decomposition for mmWave Massive MIMO Systems”, IEEE Globecom 2017, Singapore.

  67. •

    S.-W. Ko, K. Huang, S.-L. Kim and H. Chae, “Energy Efficient Mobile Computation Offloading via Online Prefetching”, Proc. of IEEE Intl. Conf. Comm. (ICC), Paris.

  68. •

    J. Wen, M. Sheng, K. Huang, and J. Li, “Analysis of Interference Correlation in Non-Poisson Networks”, Proc of IEEE Globecom, Washington, USA, Nov. 2016.

  69. •

    C.-S. You and K. Huang, “Multiuser Resource Allocation for Mobile-Edge Computation Offloading”, Proc. of IEEE Globecom, Washington, USA, Nov. 2016.

  70. •

    K. Han and K. Huang, “Wirelessly Powered Backscatter Communication Networks: Modeling, Coverage and Capacity”, Proc. of IEEE Globecom, Washington, USA, Nov. 2016.

  71. •

    G. Zhu and K. Huang, “Analog Spatial Cancellation for Tackling the Near-Far Problem in Wirelessly Powered Communications”, Proc. of IEEE Intl. Conf. Comm. (ICC), Kuala Lumpur, May 2016.

  72. •

    C.-S. You and K. Huang, “Wirelessly Powered Mobile Computation Offloading: Energy Savings Maximization”, Proc. of IEEE Globecom, San Diego, Nov. 2015.

  73. •

    K. Huang, “A Tradeoff Between Information and Power Transfers Using a Large-Scale Array of Dense Distributed Antennas”, Proc. of IEEE Globecom, San Diego, Nov. 2015.

  74. •

    K. Huang, J. Chen and V. K. N. Lau, “Communications Using Ubiquitous Antennas: Free-Space Propagation”, Proc. of IEEE Intl. Conf. Comm. (ICC), London, Jun. 2015.

  75. •

    K. Huang, M. Kountouris and V. O. K. Li, “Renewables Powered Cellular Networks: Energy Field and Network Coverage”, Proc. of IEEE Intl. Conf. on Comm. Sys. (ICCS), Macau, Nov. 2014. (Invited paper)

  76. •

    B. Min, D. Kim, K. Huang, M. Kountouris, “Progressive Optimization for Time-Varying Channel with One-Way Multiple Mechanical Relays”, Proc. of IEEE ChinaSIP 2013, 6-10 July, 2013. (Invited paper)

  77. •

    K. Huang and E. G. Larsson, “Simultaneous Information-and-Power Transfer Over a Broadband Channel”, Proc. of Asilomar 2013, November 3-6th, 2013. (Invited paper)

  78. •

    K. Huang and E. G. Larsson, “Simultaneous Information-and-Power Transfer for Broadband Downlink Systems”, Proc. of IEEE ICASSP 2013, Vancouver, May 26-31, 2013.

  79. •

    K. Huang, “Mobile Ad Hoc Networks Powered by Energy Harvesting: Battery-Level Dynamics and Spatial Throughput”, Proc. of IEEE Intl. Conf. Comm. (ICC), Budapest, Hungary, Jun. 2013.

  80. •

    S. Lee, K. Huang, R. Zhang, “Cognitive Energy Harvesting and Transmission from a Network Perspective”, Proc. of IEEE Intl. Conf. on Comm. Sys. (ICCS), Singapore, Nov. 2012. (Invited paper)

  81. •

    S. Cho, K. Huang, D. Kim and H. Seo, “Efficient Feedback Design for Interference Alignment in MIMO Interference Channel”, Proc. of IEEE Vehicular Tech. Conf. (VTC) Spring, VTC2012-Spring, Yokohama, Japan, 6-9 May 2012.

  82. •

    K. Huang and J. G. Andrews, “Charactering Multi-Cell Cooperation via the Outage-Probability Exponent”, IEEE Intl. Conf. Comm. (ICC), Ottawa, Canada, Jun. 10-15, 2012.

  83. •

    K. Huang and J. G. Andrews, “A Stochastic-Geometry Approach to Coverage in Cellular Networks with Multi-Cell Cooperation”, Proc. of IEEE Globecom 2011, Huston, TX, Dec. 5-9, 2011.

  84. •

    K. Huang and R. Zhang, ``Cooperative feedback for MIMO interference channels", Proc. of Asilomar Conf. on Signals, Sys. and Comp., Nov. 6-9, 2011. (Invited paper)

  85. •

    K. Huang, ``Throughput and Energy Consumption of a Random Network with Energy Harvesters", Proc. of Asilomar Conf. on Signals, Sys. and Comp., Nov. 6-9, 2011. (Invited paper)

  86. •

    Hyukjin Chae, Sungyoon Cho, Kaibin Huang, and DongKu Kim, ``How Many Degrees of Freedom Can be Achieved for Mutually Interfering MIMO Broadcast Channels?", Proc. of Asilomar Conf. on Signals, Sys. and Comp., Nov. 6-9, 2011. (Invited paper)

  87. •

    S. Cho, W. Choi, and Kaibin Huang, ``Spatially Efficient Distributed Relay Selection for Random Relay Networks", Proc. of Asilomar Conf. on Signals, Sys. and Comp., Nov. 6-9, 2011. (Invited paper)

  88. •

    K. Huang, V. K. N. Lau, and D. Kim, “Stochastic Feedback Control for Multi-Antenna Interference Channels”, Proc. of Asilomar Conf. on Signals, Sys. and Comp., Nov. 8-10, 2010. (Invited paper)

  89. •

    J. Park, K. Huang, S. Cho, and D. Kim, “Mobility-aware spatial interference cancelation for mobile ad hoc networks”, Intl. Conf. on Information and Communication Technology Convergence (ICTC), Nov. 17-19, 2010. (Invited paper)

  90. •

    K. Huang and R. Zhang, “Cognitive Beamforming with Cooperative Feedback”, Proc. of IEEE Wireless Comm. and Sig. Proc. (WCSP), Suzhou, China, 21-23 Oct. 2010. (Invited paper)

  91. •

    K. Huang and R. Zhang, “Cognitive feedback in multi-antenna cognitive radio networks”, Proc. of IEEE Vehicular Tech. Conf. (VTC) Spring, Taipei, Taiwan, 16-19 May 2010.

  92. •

    K. Huang, V. K. N. Lau, and D. Kim, “Multi-Antenna Transmit Beamforming: Feedback or No Feedback?”, Proc. of IEEE Intl. Conf. Comm. (ICC), Cape Town, 23-27 May 2010.

  93. •

    K. Huang and V. K. N. Lau, “Stability of Zero-Forcing SDMA with Limited Feedback”, Proc. of IEEE TENCON, Singapore, Nov. 2009. (Invited paper)

  94. •

    K. Huang, V. K. N. Lau, and Y. Chen, “Transmission-Capacity Trade-Off for Coexisting Cellular and Mobile Ad Hoc Networks ”, Proc. of IEEE WiOpt, Seoul, Korea, June 2009.

  95. •

    Rui Wang, Vincent K. N. Lau, Ying Cui, and K. Huang, “Decentralized Fair Resource Allocation for Relay-Assisted Cognitive Cellular Downlink Systems”, Proceedings of IEEE Intl. Conf. Comm. (ICC), Dresden, Germany, June 2009.

  96. •

    B. Chen, X. Yang, Vincent K. N. Lau, and K. Huang, “Dynamic Spectrum Sharing between Uplink and Relay-Assisted Downlink”, Proc. of IEEE Vehicular Tech. Conf. (VTC) Spring, Apr. 2009.

  97. •

    K. Huang, Y. Chen, B. Chen, X. Yang, V. K. N. Lau, “Overlaid Cellular and Mobile Ad Hoc Networks”, Proc. of IEEE Intl. Conf. on Comm. Systems, Guangzhou, China, Nov. 2008.

  98. •

    K. Huang, J. G. Andrews, R. W. Heath, Jr., D. Guo, and R. Berry, “Spatial Interference Cancelation for Mobile Ad Hoc Networks: Perfect CSI”, Proc. of IEEE Globecom 2008, Nov. 2008.

  99. •

    K. Huang, R. W. Heath, Jr., J. G. Andrews, D. Guo, and R. Berry, “Spatial Interference Cancelation for Mobile Ad Hoc Networks: Imperfect CSI”, Proc. of Asilomar Conf. on Signals, Sys. and Comp., Apr. 2008. (Invited paper)

  100. •

    K. Huang, J. G. Andrews, and R. W. Heath, Jr. “Throughput Scaling of Uplink SDMA with Limited Feedback”, Proc. of Asilomar Conf. on Signals, Sys., and Comp., Nov. 2007. (Invited paper)

  101. •

    K. Huang, R. W. Heath, Jr., J. G. Andrews, “Multiuser Limited Feedback for Wireless Multi-Antenna Communication”, Proc. of IEEE Interl. Symp. on Information Theory, Jun. 2007.

  102. •

    K. Huang, R. W. Heath, Jr., and J. G. Andrews, “Space Division Multiple Access with a Sum Feedback Rate Constraint”, Proc. of IEEE ICASSP 2007, Apr. 2007.

  103. •

    K. Huang, J. G. Andrews, and R. W. Heath, Jr., “Orthogonal Beamforming for SDMA Downlink with Limited Feedback”, Proc. of IEEE ICASSP 2007, Apr. 2007.

  104. •

    K. Huang, B. Mondal, R. W. Heath, Jr., and J. G. Andrews, “Effect of Feedback Delay on Limited Feedback for Temporally Correlated Channels”, Proc. of IEEE Globecom 2006, Nov. 27- Dec.1, 2006.

  105. •

    K. Huang, B. Mondal, R. W. Heath, Jr., and J. G. Andrews, “Multi-Antenna Limited Feedback for Temporally Correlated Channels: Feedback Compression”, Proc. of IEEE Globecom 2006, Nov. 27- Dec.1 2006. (Best Student Paper Award in the category of Communication Systems)

  106. •

    K. Huang, B. Mondal, R. W. Heath, Jr., and J. G. Andrews, “Markov Models for MIMO Limited Feedback Channels”, Proc. of IEEE ICASSP, May 2006. (Nominated for Best Student Paper Award)

  107. •

    K. Huang and J. G. Andrews, “Unified Linear Precoding for Minimum BER”, Proc. of IEEE Globecomm 2005, Nov. 2005.

  108. •

    K. Huang, Y. Chew, P. Chin, and K. Heng, “A Novel DS-CDMA Rake Receiver: Architecture and Performance”, Proc. of IEEE ICC 2004, July 2004.

  109. •

    K. Huang, P.-S. Chin, and K.-T. Heng, “DS-CDMA Receiver with Sigma-Delta Modulation Encoding”, Proc. of IEEE VTC 2003 Spring, April 2003.

  110. •

    K. Huang, Q.-S. Quek, S. N. A. Ahmed, B. Jin, M. A. Kumar, “Techniques for Reducing Dynamic-Range Requirements for Software Radio Receiver”, Proc. of Software Defined Radio Technical Conference 2002, Nov. 2002.

  111. •

    Y.-H. Chew, K. Huang, T. T. Tjhung, “Effect of Optical Switches on BER Performance of Optical CDMA Systems”, Proc. of APCC/ICCS 1998, Nov. 1998.

03 / Other record

Books

  1. •

    H. Du, X. Chen, Y. Liu, K. Huang, “Towards Ubiquitous Intelligence Scaling Language Models Across Wireless,” Springer (Wireless Networks series), 2026.

  2. •

    S. Gong, D. Niyato, Bo Gu, K. Huang, “Optimization-Driven Deep Reinforcement Learning for Wireless Networks,” Springer (Wireless Networks series), 2026.

04 / Other record

Patents

Granted Patents

  1. •

    S. Lee, S.-W. Ko, K. Han, K. Huang, “Joint frequency-and-phase modulation for multi-antenna backscatter vehicular position,” US# 12,000,928, granted 2024-06-04.

  2. •

    H. Chae, S.-W. Ko, K, Huang, R. Wang, and Z. Zhang, “Method and apparatus for vehicular microwave imaging by mirror reflection in wireless communication system,” US# 11,940,526, granted 2024-03-26.

  3. •

    H. Chae, S.-W. Ko, K. Huang, and K. Han, “Method for determining a position of NLoS Tx UE,” US# 1,1385,315, granted 2022-07-12.

  4. •

    H. Chae, B. Kim, K. Huang, and C. You, “Method and apparatus for indicating an offloading data size and time duration in a wireless communication system”, US# 10,568,000, granted 2020-02-18.

  5. •

    H. Chae, B. Kim, K. Huang, and S. Ko, “A method and apparatus of a wireless prefetching”, US# 10,560,888, granted 2020-2-11.

  6. •

    H. Chae, K. Huang, and C. You, “Method and apparatus for an input data processing via a local computing or offloading based on power harvesting in a wireless communication system”, US# 10,111,024, granted 2018-10-23.

  7. •

    H. Seo, D. Kim, S. Cho, B. Kim, and K. Huang “Method for coordinating interference in an uplink interference channel for a terminal in a wireless communication system”, US# 9,635,572, granted 2017-4-25.

  8. •

    H. Seo, D. Kim, J. Park, B. Kim, and K. Huang, “Method for uploading data by station, method for downloading data by station and method for downloading by transporter” US# 9,603,046, granted 2017-3-21.

  9. •

    J. Kotecha and K. Huang, “Feedback scheduling to reduce feedback rates in MIMO systems”, US# 9,590,710, granted 2017-03-07.

  10. •

    K. Huang and J. Kotecha, “Generalized codebook design method for limited feedback systems”, US# 9,020,518, granted 2015-04-28.

  11. •

    H. Seo, K. Huang, S. Roh, S. Cho, H. Chae, B. Kim and D. Kim, “Feedback method for virtual MIMO transmission in wireless ad-hoc communication system”, US# 8,867,639, granted 2014-10-21.

  12. •

    H. Seo, K. Huang, S. Roh, S. Cho, H. Chae, B. Kim and D. Kim, “Power control method for interference alignment in wireless network”, US# 8,818,445, granted 2014-9-23.

  13. •

    H. Seo, K. Huang, S. Roh, S. Cho, H. Chae, B. Kim and D. Kim, “Feedback method for Interference alignment for in wireless networks”, US# 8,848,822, granted 2014-9-30.

  14. •

    G. Zhang, Y. Long, K. Huang, Y. Cheng, V. K. N. Lau, “Method and apparatus for multi-input multi-output downlink transmission control,“ US# 8,611,244, granted 2013-12-17.

  15. •

    G. Zhang, Y. Long, C. He, Y. Cheng, K. Huang, V. K. N. Lau, “Channel information feedback method, mobile station, base station, MIMO system,” US# 8,320,275, granted 2012-11-27.

  16. •

    J. Kotecha and K. Huang, “Feedback reduction for MIMO precoded system by exploiting channel correlation”, US# 8,023,457, granted 2011-09-20.

  17. •

    J. Kotecha and K. Huang, “MIMO precoding enabling spatial multiplexing, power allocation and adaptive modulation and coding”, US# 7,702,029, granted 2010-04-20.

Patent Applications

  1. •

    H. Guo, Y. Zhu, H. Ma, V. K. N. Lau, K. Huang, “Synchronization For OFDM-Based Over-The-Air Aggregation,” US Patent Application (US# 20230344602), filed 2023-04-19.

  2. •

    W. Ko, Z. Zhang, K. Huang, S. Lee, J. Baek, “Method and apparatus for positioning using backscatter tag,” US Patent Application (US# 20230003827), filed 2023-01-05.

  3. •

    W. Ko, K. Huang, L. Qiao, H. Chae, “Method and apparatus for multiple access”, US Patent Application (US# 20230015159), filed 2023-01-19.

  4. •

    V. K. N. Lau, Z. Zhang, K. Huang, “Method and system for accelerating distributed principal components with noisy channels,” US Patent Application (US# 20220394629), filed 2022-12-08.

  5. •

    K. Jeon, K. Huang, D. Wen, S. Lee, S. Kim, “Method and device for transmitting OFDM signal, and method and device for receiving OFDM signal,” US Patent Application (US# 20220114448), filed 2022-04-14.

Back to top

contact us

huangkb@eee.hku.hk

+852 2362 9045

Room 611, Chow Yei Ching Building, The University of Hong Kong, Pok Fu Lam, Hong Kong

bottom of page