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Ph.D., Professor, Ph.D. Supervisor
Advanced Research Institute of Multidisciplinary Science (ARIMS) Beijing Institute of Technology Location: Central Building Room 629, No. 5, South Street, Zhongguancun, Haidian District, Beijing, China
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Email: gaozhen16@bit.edu.cn (prior); gaozhen010375@foxmail.com [Google Scholar] [IEEE] [GitHub] [ORCID] |
Zhen Gao (Member, IEEE) received the B.S. degree in information engineering from the Beijing Institute
of
Technology, Beijing, China, in July 2011, and the Ph.D. degree in communication and signal processing
from
the Tsinghua National Laboratory for Information Science and Technology, Department of Electronic
Engineering, Tsinghua University, China, in July 2016.
From 2014 to 2015, he visited the Communications and Signal Processing Group, Imperial College London,
U.K.,
for nearly one year. He is currently an Assistant Professor with the Advanced Research Institute of
Multidisciplinary Science (ARIMS) and the School of Information and Electronics, Beijing Institute of
Technology, Beijing, China. His research interests are in wireless communications, with a focus on
multicarrier modulations, multiple antenna systems, and sparse signal processing. He was a recipient of
the
IEEE Broadcast Technology Society, in 2016, the Scott Helt Memorial
Award (Best Paper) and IET Electronics Letters Premium Award (Best Paper), in 2016, the Exemplary
Reviewer
of the IEEE Communications Letters, in 2016, the Academic Star of Tsinghua University, in 2016, and the
Young Elite Scientists Sponsorship Program from the China Association for Science and Technology, from
2018
to 2021. He currently serves as an Associate Editor for IEEE Access and IEEE Communications Letters.
特别研究员、教授,博士生导师,入选国家级青年人才计划。主要从事宽带通信与智能信号处理,包括物联网机器类通信、智能边缘计算、空天地一体化信息网络、
6G 大规模 MIMO 通信,以及人工智能赋能6G通信等。获得IEEE Trans. Broadcast. 2016 最佳论文奖、IET Electron. Lett. 2016 最佳论文奖、UCET 2020 最佳
论文、IEEE/CIC ICCC 2021 最佳论文、IEEE IWCMC 2022最佳论文、EAI WiSATS 2022最佳学生论文奖。发表SCI 论文 60余篇,包括9篇 ESI 高被引论文,2 篇前
0.1%热点论文,谷歌学术引用6000余次。入选国家级青年人才计划、北京市科技新星、山东省优青、中国科协青年人才托举工程,爱思唯尔 2020、2021、2022年中国
高被引学者,入选斯坦福大学全球前2%顶尖科学家榜单 (2020、2021、2022年度),获得2021年中国电子学会自然科学一等奖、2022年中国电子学会技术发明一等奖、2022年中国指控学会科技进步一等奖。担任IEEE Communications Letters 编委、IEEE Systems Journal 编委、Frontiers in Communications and Networks 编委。
[R1] Y. Wang, Z. Gao, D. Zheng, S. Chen, D. Gunduz, and H. V. Poor, "Transformer-Empowered 6G Intelligent Networks: From Massive MIMO Processing to Semantic Communication," accepted by IEEE Wireless Communications.
[R2] M. Wu, Z. Gao, Y. Huang, Z. Xiao, D. W. K. Ng, and Z. Zhang, "Deep Learning-Based Rate-Splitting Multiple Access for Reconfigurable Intelligent Surface-Aided Tera-Hertz Massive MIMO", accepted by IEEE Journal on Selected Areas in Communications.
[R3] Z. Gao, M. Wu, C. Hu, F. Gao, G. Wen, D. Zheng, J. Zhang, "Data-Driven Deep Learning Based Hybrid Beamforming for Aerial Massive MIMO-OFDM Systems With Implicit CSI," in IEEE Journal on Selected Areas in Communications, vol. 40, no. 10, pp. 2894-2913, Oct. 2022.
[R4] Y. Wang, Z. Gao, J. Zhang, X. Cao, D. Zheng, Y. Gao, D. W. K. Ng, M. D. Renzo, "Trajectory Design for UAV-Based Internet of Things Data Collection: A Deep Reinforcement Learning Approach," in IEEE Internet of Things Journal, vol. 9, no. 5, pp. 3899-3912, 1 Mar. 2022.
[R5] X. Ma, Z. Gao, F. Gao, M. D. Renzo, "Model-Driven Deep Learning Based Channel Estimation and Feedback for Millimeter-Wave Massive Hybrid MIMO Systems," in IEEE Journal on Selected Areas in Communications, vol. 39, no. 8, pp. 2388-2406, Aug. 2021.
[R6] S. Liu, Z. Gao, J. Zhang, M. D. Renzo and M. -S. Alouini, "Deep Denoising Neural Network Assisted Compressive Channel Estimation for mmWave Intelligent Reflecting Surfaces," IEEE Transactions on Vehicular Technology, vol. 69, no. 8, pp. 9223-9228, Aug. 2020.
[R7] X. Ma and Z. Gao, "Data-Driven Deep Learning to Design Pilot and Channel Estimator for Massive MIMO," IEEE Transactions on Vehicular Technology, vol. 69, no. 5, pp. 5677-5682, May 2020.
[R1] M. Wu, Z. Gao, Y. Huang, Z. Xiao, D. W. K. Ng, and Z. Zhang, "Deep Learning-Based Rate-Splitting Multiple Access for Reconfigurable Intelligent Surface-Aided Tera-Hertz Massive MIMO", accepted by IEEE Journal on Selected Areas in Communications.
[R2] Z. Wan, Z. Gao, F. Gao, M. D. Renzo, M.-S. Alouini, "Terahertz Massive MIMO with Holographic Reconfigurable Intelligent Surfaces," in IEEE Transactions on Communications, vol. 69, no. 7, pp. 4732-4750, July 2021.
[R3] S. Liu, Z. Gao, J. Zhang, M. D. Renzo and M.-S. Alouini, "Deep Denoising Neural Network Assisted Compressive Channel Estimation for mmWave Intelligent Reflecting Surfaces," IEEE Transactions on Vehicular Technology, vol. 69, no. 8, pp. 9223-9228, Aug. 2020.
[R1] K. Ying, Z. Gao, S. Chen, M. Zhou, D. Zheng, S. Chatzinotas, B. Ottersten, and H. V. Poor, "Quasi-Synchronous Random Access for Massive MIMO-Based LEO Satellite Constellations," in IEEE Journal on Selected Areas in Communications, vol. 41, no. 6, pp. 1702-1722, June 2023.
[R2] Z. Gao, X. Zhou, J. Zhao, J. Li, C. Zhu, C. Hu, P. Xiao, S. Chatzinotas, D. W. K. Ng, B. Ottersten, "Grant-Free NOMA-OTFS Paradigm: Enabling Efficient Ubiquitous Access for LEO Satellite Internet-of-Things", accepted by IEEE Network.
[R3] X. Zhou, K. Ying, Z. Gao, Y. Wu, Z. Xiao, S. Chatzinotas, J. Yuan, and B. Ottersten, "Active Terminal Identification, Channel Estimation, and Signal Detection for Grant-Free NOMA-OTFS in LEO Satellite Internet-of-Things," in IEEE Transactions on Wireless Communications, vol. 22, no. 4, pp. 2847-2866, April 2023.
[R4] Z. Gao, M. Wu, C. Hu, F. Gao, G. Wen, D. Zheng, J. Zhang, "Data-Driven Deep Learning Based Hybrid Beamforming for Aerial Massive MIMO-OFDM Systems With Implicit CSI," in IEEE Journal on Selected Areas in Communications, vol. 40, no. 10, pp. 2894-2913, Oct. 2022.
[R5] L. Qiao, J. Zhang, Z. Gao, D. Zheng, M. J. Hossain, Y. Gao, D. W. K. Ng, and M. Di Renzo, "Joint Activity and Blind Information Detection for UAV-Assisted Massive IoT Access," in IEEE Journal on Selected Areas in Communications, vol. 40, no. 5, pp. 1489-1508, May 2022.
[R6] M. Ke, Z. Gao, Y. Huang, G. Ding, D. W. K. Ng, Q. Wu, J. Zhang, "An Edge Computing Paradigm for Massive IoT Connectivity Over High-Altitude Platform Networks," in IEEE Wireless Communications, vol. 28, no. 5, pp. 102-109, October 2021.
[R7] S. Liu, Z. Gao, Y. Wu, D. W. K. Ng, X. Gao, K.-K Wong, S. Chatzinotas, B. Ottersten, "LEO Satellite Constellations for 5G and Beyond: How Will They Reshape Vertical Domains?," in IEEE Communications Magazine, vol. 59, no. 7, pp. 30-36, July 2021.
[R8] A. Liao, Z. Gao, D. Wang, H. Wang, H. Yin, D. W. K. Ng, M.-S. Alouini, "Terahertz Ultra-Massive MIMO-Based Aeronautical Communications in Space-Air-Ground Integrated Networks," in IEEE Journal on Selected Areas in Communications, vol. 39, no. 6, pp. 1741-1767, June 2021.
[R1] K. Ying, Z. Gao, S. Chen, M. Zhou, D. Zheng, S. Chatzinotas, B. Ottersten, and H. V. Poor, "Quasi-Synchronous Random Access for Massive MIMO-Based LEO Satellite Constellations," in IEEE Journal on Selected Areas in Communications, vol. 41, no. 6, pp. 1702-1722, June 2023.
[R2] Y. Mei, Z. Gao, D. Mi, M. Zhou, D. Zheng, M. Matthaiou, P. Xiao, R. Schober, "Massive Access in Extra Large-Scale MIMO With Mixed-ADC Over Near-Field Channels," accepted by IEEE Trans. Vehicular Technology, 2023.
[R3] M. Ke, Z. Gao, M. Zhou, D. Zheng, D. W. K. Ng, H. V. Poor, "Next-Generation URLLC with Massive Devices: A Unified Semi-Blind Detection Framework for Sourced and Unsourced Random Access," accepted by IEEE J. Sel. Areas Commun., 2023.
[R4] Z. Gao, X. Zhou, J. Zhao, J. Li, C. Zhu, C. Hu, P. Xiao, S. Chatzinotas, D. W. K. Ng, B. Ottersten, "Grant-Free NOMA-OTFS Paradigm: Enabling Efficient Ubiquitous Access for LEO Satellite Internet-of-Things", accepted by IEEE Network.
[R5] X. Zhou, K. Ying, Z. Gao, Y. Wu, Z. Xiao, S. Chatzinotas, J. Yuan, and B. Ottersten, "Active Terminal Identification, Channel Estimation, and Signal Detection for Grant-Free NOMA-OTFS in LEO Satellite Internet-of-Things," in IEEE Transactions on Wireless Communications, vol. 22, no. 4, pp. 2847-2866, April 2023.
[R6] H. Xiu, Z. Gao, et al., "Joint Activity Detection and Channel Estimation for Massive IoT Access Based on Millimeter-Wave/Terahertz Multi-Panel Massive MIMO," in IEEE Transactions on Vehicular Technology, 2022.
[R7] L. Qiao, J. Zhang, Z. Gao, D. Zheng, M. J. Hossain, Y. Gao, D. W. K. Ng, and M. Di Renzo, "Joint Activity and Blind Information Detection for UAV-Assisted Massive IoT Access," in IEEE Journal on Selected Areas in Communications, vol. 40, no. 5, pp. 1489-1508, May 2022.
[R8] M. Ke, Z. Gao, Y. Huang, G. Ding, D. W. K. Ng, Q. Wu, J. Zhang, "An Edge Computing Paradigm for Massive IoT Connectivity Over High-Altitude Platform Networks," in IEEE Wireless Communications, vol. 28, no. 5, pp. 102-109, October 2021.
[R9] Y. Mei, Z. Gao, Y. Wu, W. Chen, D. W. K. Ng, M. Di Renzo, "Compressive Sensing-Based Joint Activity and Data Detection for Grant-Free Massive IoT Access," in IEEE Transactions on Wireless Communications, vol. 21, no. 3, pp. 1851-1869, March 2022.
[R10] L. Qiao, J. Zhang, Z. Gao, D. W. K. Ng, M. D. Renzo and M. -S. Alouini, "Massive Access in Media Modulation Based Massive Machine-Type Communications," in IEEE Transactions on Wireless Communications, vol. 21, no. 1, pp. 339-356, Jan. 2022.
[R11] M. Ke, Z. Gao, Y. Wu, X. Gao and K. Wong, "Massive Access in Cell-Free Massive MIMO-Based Internet of Things: Cloud Computing and Edge Computing Paradigms," IEEE Journal on Selected Areas in Communications, vol. 39, no. 3, pp. 756-772, March 2021.
[R12] L. Qiao, J. Zhang, Z. Gao, S. Chen and L. Hanzo, "Compressive Sensing Based Massive Access for IoT Relying on Media Modulation Aided Machine Type Communications," IEEE Transactions on Vehicular Technology, vol. 69, no. 9, pp. 10391-10396, Sept. 2020.
[R13] M. Ke, Z. Gao, Y. Wu, X. Gao and R. Schober, "Compressive Sensing-Based Adaptive Active User Detection and Channel Estimation: Massive Access Meets Massive MIMO," IEEE Transactions on Signal Processing, vol. 68, pp. 764-779, 2020.
[R14] Li Qiao, Anwen Liao, Zhuoran Li, Hua Wang, Zhen Gao, Xiang Gao, Yu Su, Pei Xiao, Li You. Derrick Wing Kwan Ng, "Sensing User's Activity, Channel, and Location with Near-Field Extra-Large-Scale MIMO," in IEEE Transactions on Communications, vol. 72, no. 2, pp. 890-906, Feb. 2024, doi: 10.1109/TCOMM.2023.3324997.
[R1] Y. Mei, Z. Gao, D. Mi, M. Zhou, D. Zheng, M. Matthaiou, P. Xiao, R. Schober, "Massive Access in Extra Large-Scale MIMO With Mixed-ADC Over Near-Field Channels," accepted by IEEE Trans. Vehicular Technology, 2023.
[R2] M. Wu, Z. Gao, Y. Huang, Z. Xiao, D. W. K. Ng, and Z. Zhang, "Deep Learning-Based Rate-Splitting Multiple Access for Reconfigurable Intelligent Surface-Aided Tera-Hertz Massive MIMO", accepted by IEEE Journal on Selected Areas in Communications.
[R3] A. Liao, Z. Gao, D. Wang, H. Wang, H. Yin, D. W. K. Ng, M.-S. Alouini, "Terahertz Ultra-Massive MIMO-Based Aeronautical Communications in Space-Air-Ground Integrated Networks," in IEEE Journal on Selected Areas in Communications, vol. 39, no. 6, pp. 1741-1767, June 2021.
[R4] Z. Wan, Z. Gao, F. Gao, M. D. Renzo, M.-S. Alouini, "Terahertz Massive MIMO with Holographic Reconfigurable Intelligent Surfaces," in IEEE Transactions on Communications, vol. 69, no. 7, pp. 4732-4750, July 2021.
[R5] Y. Sun, Z. Gao, H. Wang, B. Shim, G. Gui, G. Mao, F. Adachi, "Principal Component Analysis-Based Broadband Hybrid Precoding for Millimeter-Wave Massive MIMO Systems," IEEE Transactions on Wireless Communications, vol. 19, no. 10, pp. 6331-6346, Oct. 2020.
[R6] Z. Wan, Z. Gao, B. Shim, K. Yang, G. Mao and M. Alouini, "Compressive Sensing Based Channel Estimation for Millimeter-Wave Full-Dimensional MIMO With Lens-Array," IEEE Transactions on Vehicular Technology, vol. 69, no. 2, pp. 2337-2342, Feb. 2020.
[R7] A. Liao, Z. Gao, H. Wang, S. Chen, M. Alouini and H. Yin, "Closed-Loop Sparse Channel Estimation for Wideband Millimeter-Wave Full-Dimensional MIMO Systems," IEEE Transactions on Communications , vol. 67, no. 12, pp. 8329-8345, Dec. 2019.
[R8] Jiening Mao, Z. Gao, Yongpeng Wu and Muhammad Slim Alouini, "Over-sampling codebook-based hybrid minimum sum-mean-square-error precoding for millimeter-wave 3D-MIMO," IEEE Wireless Communications Letters, vol. 7, no. 6, pp. 938-941, Dec. 2018.
[R1] Z. Li, Z. Gao and T. Li, "Sensing User's Channel and Location with Terahertz Extra-Large Reconfigurable Intelligent Surface under Hybrid-Field Beam Squint Effect," accepted by IEEE J. Sel. Top. Sign. Proces, 2023
[R2] Z. Gao, Z. Wan, D. Zheng, S. Tan, C. Masouros, D. W. K. Ng, and S. Chen, Integrated Sensing and Communication With mmWave Massive MIMO: A Compressed Sampling Perspective," in IEEE Transactions on Wireless Communications, vol. 22, no. 3, pp. 1745-1762, March 2023.
[R3] Li Qiao, Anwen Liao, Zhuoran Li, Hua Wang, Zhen Gao, Xiang Gao, Yu Su, Pei Xiao, Li You. Derrick Wing Kwan Ng, "Sensing User's Activity, Channel, and Location with Near-Field Extra-Large-Scale MIMO," in IEEE Transactions on Communications, vol. 72, no. 2, pp. 890-906, Feb. 2024, doi: 10.1109/TCOMM.2023.3324997.
Book Chapters :
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[1] 高镇, "大规模MIMO通信稀疏信号处理", 北京理工大学出版社. [京东]
[2] Zhen Gao, Malong Ke, Li Qiao, and Yikun Mei, "Massive IoT Access for 6G", Springer Press. [Buy] [京东]
[3] Zhen Gao, Linglong Dai, Xinyu Gao, and Zhaocheng Wang, "Channel estimation in mmWave massive MIMO systems", Chapter 6 of book MmWave Massive MIMO: A paradigm for 5G, Elsevier Press.
[4] Zhen Gao, Linglong Dai, Xinyu Gao, Muhammad Zeeshan Shakir, and Zhaocheng Wang, "Fronthaul design for mmWave massive MIMO HetNets", Chapter 12 of book MmWave Massive MIMO: A paradigm for 5G, Elsevier Press.
[5] Xinyu Gao, Linglong Dai, Zhen Gao, and Zhaocheng Wang, "Precoding for mmWave MIMO", Chapter 5 of book MmWave Massive MIMO: A paradigm for 5G, Elsevier Press.
[6] 杨昉, 刘思聪, 高镇. "5G 移动通信空口新技术 ", 电子工业出版社. [Buy]
Journals :
[82] H. Zhang, M. Wu, L. Qiao, L. Liu, Z. Han and Z. Gao, "Residual Cross-Attention Transformer-Based Multi-User CSI Feedback With Deep Joint Source-Channel Coding," in IEEE Wireless Communications Letters.
[81] Y. Tao, Z. Wan, Z. Li, Z. Gao, G. Chen and R. Na, "MmWave-LoRadar Empowered Vehicular Integrated Sensing and Communication Systems: LoRa Meets FMCW," in IEEE Transactions on Vehicular Technology. [IEEE URL]
[80] Z. Li et al., "Chirp Delay-Doppler Domain Modulation: A New Paradigm of Integrated Sensing and Communication for Autonomous Vehicles," in IEEE Network. [IEEE URL]
[79] R. Zhang, W. Wu, X. Chen, Z. Gao and Y. Cai, "Terahertz Integrated Sensing and Communication-Empowered UAVs in 6G: A Transceiver Design Perspective," in IEEE Vehicular Technology Magazine.
[78] X. Han et al., "SCSC: A Novel Standards-Compatible Semantic Communication Framework for Image Transmission," in IEEE Transactions on Communications. [IEEE URL]
[77] C. Huang, Y. Wen, L. Zhang, G. Chen, Z. Gao and P. Xiao, "Reconfigurable Intelligent Surface Empowered Full Duplex Systems: Opportunities and Challenges," IEEE Communications Standards Magazine, vol. 8, no. 4, pp. 16-22, December 2024. [IEEE URL]
[76] Y. Wang, Y. Mei, Z. Gao et al., "Pre-Equalization Aided Grant-Free Massive Access in Massive MIMO System," IEEE Transactions on Vehicular Technology, vol. 74, no. 6, pp. 9979-9984, June 2025 [arXiv] [IEEE URL]
[75] S. Liu, X. Yu, Z. Gao, J. Xu, D. W. K. Ng, and S. Cui, "Sensing-Enhanced Channel Estimation for Near-Field XL-MIMO Systems," IEEE J. Sel. Areas Commun., vol. 43, no. 3, pp. 628-643, March 2025.
[arXiv]
[IEEE URL]
[
Codes
]
[74] Ye Zeng, Li Qiao, Zhen Gao, Tong Qin, Zhonghuai Wu, Emad Khalaf, Sheng Chen and Mohsen Guizani. "CSI-GPT: Integrating Generative Pre-Trained Transformer with Federated-Tuning to Acquire Downlink Massive MIMO Channels," in IEEE Transactions on Vehicular Technology, vol. 74, no. 3, pp. 5187-5192, March 2025. [arXiv] [IEEE URL] [ Codes ]
[73] Z. Li, Z. Gao, et al. "Unauthorized UAV Countermeasure for Low-Altitude Economy: Joint Communications and Jamming based on MIMO Cellular Systems," in IEEE Internet of Things Journal, vol. 12, no. 6, pp. 6659-6672, 15 March 2025. [arXiv] [IEEE URL]
[72] K. Ying, Z. Gao, Y. Su, T. Qin, M. Matthaiou and R. Schober, "Reconfigurable Massive MIMO: Precoding Design and Channel Estimation in the Electromagnetic Domain," in IEEE Transactions on Communications, vol. 73, no. 5, pp. 3423-3440, May 2025. [arXiv] [IEEE URL]
[71] L. Lu, Z. Wang, Z. Gao, S. Chen and H. Vincent Poor, "Block-Sparse Tensor Recovery," in IEEE Transactions on Information Theory, vol. 70, no. 12, pp. 9293-9326, Dec. 2024. [arXiv] [IEEE URL]
[70] Hongshan Liu, Tong Qin, Zhen Gao, Tianqi Mao, Keke Ying, Ziwei Wan, Li Qiao, Rui Na, Zhongxiang Li, Chun Hu, et al. Near-Space Communications: The Last Piece of 6G Space–Air–Ground–Sea Integrated Network Puzzle. Space Sci Technol. 2024;4:0176.DOI:10.34133/space.0176. [arXiv] [Space: Science & Technology URL]
[69] Minghui Wu, Zhen Gao, Zhaocheng Wang, Dusit Niyato, George K. Karagiannidis and Sheng Chen, "Deep Joint Semantic Coding and Beamforming for Near-Space Airship-Borne Massive MIMO Network," in IEEE Journal on Selected Areas in Communications, vol. 43, no. 1, pp. 260-278, Jan. 2025. [arXiv] [IEEE URL] [ Codes ]
[68] Q. Luo et al., "AFDM-SCMA: A Promising Waveform for Massive Connectivity over High Mobility Channels," in IEEE Transactions on Wireless Communications, vol. 23, no. 10, pp. 14421-14436, Oct. 2024. [arXiv] [IEEE URL]
[67] L. Qiao, M. B. Mashhadi, Z. Gao, C. H. Foh, P. Xiao and M. Bennis, "Latency-Aware Generative Semantic Communications With Pre-Trained Diffusion Models," in IEEE Wireless Communications Letters, vol. 13, no. 10, pp. 2652-2656, Oct. 2024.. [arXiv] [IEEE URL]
[66] L. Qiao, Z. Gao, M. B. Mashhadi, and D. Gündüz, "Massive digital over-the-air computation for communication-efficient federated edge learning," in IEEE Journal on Selected Areas in Communications, vol. 42, no. 11, pp. 3078-3094, Nov. 2024.
[arXiv]
[IEEE URL]
[
Codes
]
[65] Kuiyu Wang, Zhen Gao, Sheng Chen, Boyu Ning, Gaojie Chen, Yu Su, Zhaocheng Wang, H. Vincent Poor, "Knowledge and Data Dual-Driven Channel Estimation and Feedback for Ultra-Massive MIMO Systems under Hybrid Field Beam Squint Effect," in IEEE Transactions on Wireless Communications, vol. 23, no. 9, pp. 11240-11259, Sept. 2024. [arXiv] [IEEE URL]
[64] Yang Wang, Zhen Gao, Sheng Chen, Chun Hu, Dezhi Zheng, "Deep Learning–Based Channel Extrapolation and Multiuser Beamforming for RIS-aided Terahertz Massive MIMO Systems over Hybrid-Field Channels," Intelligent Computing, 13 Mar 2024 Vol 3. [URL]
[63] Yifei Zhang, Zhen Gao, Jingjing Zhao, Ziming He, Yunsheng Zhang, Chen Lu, Pei Xiao, "AI Empowered Channel Semantic Acquisition for 6G Integrated Sensing and Communication Networks," in IEEE Network, vol. 38, no. 2, pp. 45-53, March 2024. [arXiv] [IEEE URL] [ Codes ]
[62] Zhen Gao, Malong Ke, Yikun Mei, Li Qiao, Sheng Chen, Derrick Wing Kwan Ng, H. Vincent Poor, "Compressive Sensing-Based Grant-Free Massive Access for 6G Massive Communication," in IEEE Internet of Things Journal, vol. 11, no. 5, pp. 7411-7435, 1 March1, 2024。 [arXiv] [IEEE URL]
[61] Li Qiao, Anwen Liao, Zhuoran Li, Hua Wang, Zhen Gao, Xiang Gao, Yu Su, Pei Xiao, Li You. Derrick Wing Kwan Ng, "Sensing User's Activity, Channel, and Location with Near-Field Extra-Large-Scale MIMO," in IEEE Transactions on Communications, vol. 72, no. 2, pp. 890-906, Feb. 2024, doi: 10.1109/TCOMM.2023.3324997. [arXiv] [IEEE URL] [ Codes ]
[60] L. Li, Y. Yang, L. Bao, Z. Gao, Y. Wu and H. Xiang, "Deep Reinforcement Learning based Downlink Beamforming and Phase Optimization for RIS-Aided Communication System," in IEEE Wireless Communications Letters, doi: 10.1109/LWC.2023.3318212. [IEEE URL]
[59] K. Song, B. Feng, Y. Wu, Z. Gao and W. Zhang, "R-PMAC: A Robust Preamble Based MAC Mechanism Applied in Industrial Internet of Things," in IEEE Internet of Things Journal, doi: 10.1109/JIOT.2023.3285890. [arXiv] [IEEE URL]
[58] Z. Wang, J. Wang, Z. Gao, Y. Huang, D. W. K. Ng and L. Hanzo, "Rapidly Converging Low-Complexity Iterative Transmit Precoders for Massive MIMO Downlink," in IEEE Transactions on Communications, doi: 10.1109/TCOMM.2023.3305646. [IEEE URL]
[57] Z. Gao, S. Liu, Y. Su, Z. Li, and D. Zheng, "Hybrid Knowledge-Data Driven Channel Semantic Acquisition and Beamforming for Cell-Free Massive MIMO", in IEEE Journal of Selected Topics in Signal Processing, vol. 17, no. 5, pp. 964-979, Sept. 2023。 [arXiv] [IEEE URL]
[56] Z. Li, Z. Gao and T. Li, "Sensing User's Channel and Location with Terahertz Extra-Large Reconfigurable Intelligent Surface under Hybrid-Field Beam Squint Effect," in IEEE Journal of Selected Topics in Signal Processing, vol. 17, no. 4, pp. 893-911, July 2023. [arXiv] [IEEE URL] [ Codes ]
[55] K. Ying, Z. Gao, S. Chen, M. Zhou, D. Zheng, S. Chatzinotas, B. Ottersten, and
H. V. Poor,
"Quasi-Synchronous Random Access for Massive MIMO-Based LEO Satellite Constellations,"
in IEEE Journal on Selected Areas in Communications, vol. 41, no. 6, pp. 1702-1722, June
2023.
[arXiv]
[IEEE URL]
[
Codes
]
[54] Y. Mei, Z. Gao, D. Mi, M. Zhou, D. Zheng, M. Matthaiou, P. Xiao, R. Schober, "Massive Access in Extra Large-Scale MIMO With Mixed-ADC Over Near-Field Channels," in IEEE Transactions on Vehicular Technology, vol. 72, no. 9, pp. 12373-12378, Sept. 2023. [arXiv] [IEEE URL] [ Codes ]
[53] Z. Gao, H. Xiu, Y. Mei, A. Liao, M. Ke, C. Hu, M. S. Alouini, "Multi-panel extra-large scale MIMO based joint activity detection and channel estimation for near-field massive IoT access," in China Communications, vol. 20, no. 5, pp. 232-243, May 2023. [IEEE URL]
[52] M. Ke, Z. Gao, M. Zhou, D. Zheng, D. W. K. Ng and H. V. Poor,
"Next-Generation URLLC With Massive Devices: A Unified Semi-Blind Detection
Framework for Sourced and Unsourced Random Access," in IEEE Journal on Selected Areas in Communications, vol. 41, no. 7, pp. 2223-2244, July 2023.
[arXiv]
[IEEE URL]
[51] K. Ying, Z. Gao, S. Chen, X. Gao, M. Matthaiou, R. Zhang, and R. Schober, "Reconfigurable Massive MIMO: Harnessing the Power of the Electromagnetic Domain for Enhanced Information Transfer," accepted by IEEE Wireless Communications, 2023. [arXiv] [IEEE URL]
[50] X. Zhu, Y. Huang, S. Wang, Q. Wu, X. Ge, Y. Liu, Z. Gao, "Dynamic Spectrum Anti-Jamming with Reinforcement Learning Based on Value Function Approximation," in IEEE Wireless Commun. Lett. vol. 12, no. 2, pp. 386-390, Feb. 2023. [IEEE URL]
[49] J. Zhao, Y. Zhu, K. Cai, Z. Gao, Z. Han and L. Hanzo, "Multiple-Antenna Aided Aeronautical Communications in Air-Ground Integrated Networks: Channel Estimation, Reliable Transmission, and Multiple Access," in IEEE Wireless Communications [arXiv] [IEEE URL]
[48] Y. Wang, Z. Gao, D. Zheng, S. Chen, D. Gunduz, and H. V. Poor, "Transformer-Empowered 6G Intelligent Networks: From Massive MIMO Processing to Semantic Communication," in IEEE Wireless Communications, vol. 30, no. 6, pp. 127-135, December 2023. [arXiv] [IEEE URL] [Tutorial Link]
[47] Z. Gao, X. Zhou, J. Zhao, J. Li, C. Zhu, C. Hu, P. Xiao, S. Chatzinotas, D. W. K. Ng, B. Ottersten, "Grant-Free NOMA-OTFS Paradigm: Enabling Efficient Ubiquitous Access for LEO Satellite Internet-of-Things," in IEEE Network, vol. 37, no. 1, pp. 18-26, March 2023. [arXiv] [IEEE URL]
[46] M. Wu, Z. Gao, Y. Huang, Z. Xiao, D. W. K. Ng and Z. Zhang, "Deep Learning-Based
Rate-Splitting Multiple Access for Reconfigurable Intelligent Surface-Aided Tera-Hertz
Massive MIMO," in IEEE Journal on Selected Areas in Communications, vol. 41, no. 5, pp. 1431-1451, May 2023.
[arXiv]
[IEEE URL]
[
Codes
]
[45] X. Zhou, K. Ying, Z. Gao, Y. Wu, Z. Xiao, S. Chatzinotas, J. Yuan, and B. Ottersten, "Active Terminal Identification, Channel Estimation, and Signal Detection for Grant-Free NOMA-OTFS in LEO Satellite Internet-of-Things," in IEEE Transactions on Wireless Communications, vol. 22, no. 4, pp. 2847-2866, April 2023. [arXiv] [IEEE URL]
[44] H. Xiu, Z. Gao, et al., "Joint Activity Detection and Channel Estimation for Massive IoT Access Based on Millimeter-Wave/Terahertz Multi-Panel Massive MIMO," in IEEE Transactions on Vehicular Technology, vol. 72, no. 1, pp. 1349-1354, Jan. 2023. [IEEE URL]
[43] B. Zhu, E. Bedeer, H. H. Nguyen, R. Barton and Z. Gao, "UAV Trajectory Planning for AoI-Minimal Data Collection in UAV-Aided IoT Networks by Transformer," in IEEE Transactions on Wireless Communications, vol. 22, no. 2, pp. 1343-1358, Feb. 2023. [IEEE URL]
[42] Z. Gao, Z. Wan, D. Zheng, S. Tan, C. Masouros, D. W. K. Ng, and S. Chen, Integrated Sensing and Communication With mmWave Massive MIMO: A Compressed Sampling Perspective," in IEEE Transactions on Wireless Communications, vol. 22, no. 3, pp. 1745-1762, March 2023. [arXiv] [IEEE URL] [ Codes ]
[41] J. Huang, Y. Yang, Z. Gao, D. He and D. W. K. Ng, "Dynamic Spectrum Access for D2D-Enabled Internet of Things: A Deep Reinforcement Learning Approach," in IEEE Internet of Things Journal, vol. 9, no. 18, pp. 17793-17807, 15 Sept.15, 2022. [IEEE URL]
[40] Z. Wan, Z. Gao, M. D. Renzo and L. Hanzo, "The Road to Industry 4.0 and Beyond: A Communications-, Information-, and Operation Technology Collaboration Perspective," in IEEE Network, vol. 36, no. 6, pp. 157-164, November/December 2022. [IEEE URL]
[39] X. Zhou, K. Ying, S. Liu, M. Ke, Z. Gao and M.-S. Alouini, "Reconfigurable intelligent surface assisted grant-free massive access," in Intelligent and Converged Networks, vol. 3, no. 1, pp. 134-143, March 2022, doi: 10.23919/ICN.2022.0009. [IEEE URL]
[38] Z. Gao, M. Wu, C. Hu, F. Gao, G. Wen, D. Zheng, J. Zhang,
"Data-Driven Deep Learning Based Hybrid Beamforming for Aerial Massive MIMO-OFDM Systems
With Implicit CSI," in IEEE Journal on Selected Areas in Communications, vol. 40, no. 10,
pp. 2894-2913, Oct. 2022, doi: 10.1109/JSAC.2022.3196064.
(SCI Q1 Top, IF=9.619)
[arXiv]
[
Codes
]
[IEEE URL]
[37] L. Qiao, J. Zhang, Z. Gao, D. Zheng, M. J. Hossain, Y. Gao, D. W. K. Ng, and
M. Di
Renzo, "Joint Activity and Blind Information Detection for UAV-Assisted Massive IoT Access,"
in IEEE Journal on Selected Areas in Communications, vol. 40, no. 5, pp. 1489-1508, May
2022, doi: 10.1109/JSAC.2022.3143255.
(SCI Q1 Top, IF=9.619)
[arXiv]
[IEEE URL]
[
Codes
]
[36] M. Ke, Z. Gao, Y. Huang, G. Ding, D. W. K. Ng, Q. Wu, J. Zhang, "An Edge Computing Paradigm for Massive IoT Connectivity Over High-Altitude Platform Networks," in IEEE Wireless Communications, vol. 28, no. 5, pp. 102-109, October 2021. (SCI Q1 Top, IF=11.979) [IEEE URL]
[35] Y. Mei, Z. Gao, Y. Wu, W. Chen, D. W. K. Ng, M. Di Renzo, "Compressive Sensing-Based Joint Activity and Data Detection for Grant-Free Massive IoT Access," in IEEE Transactions on Wireless Communications, vol. 21, no. 3, pp. 1851-1869, March 2022, doi: 10.1109/TWC.2021.3107576. (Pre-Print) [arXiv] [ Codes ] [IEEE URL]
[34] Y. Wang, Z. Gao, J. Zhang, X. Cao, D. Zheng, Y. Gao, D. W. K. Ng, M. D. Renzo, "Trajectory Design for UAV-Based Internet of Things Data Collection: A Deep Reinforcement Learning Approach," in IEEE Internet of Things Journal, vol. 9, no. 5, pp. 3899-3912, 1 March1, 2022, doi: 10.1109/JIOT.2021.3102185. (SCI Q1 Top, IF=9.417) [URL] [ Codes ]
[33] S. Liu, Z. Gao, Y. Wu, D. W. K. Ng, X. Gao, K.-K Wong, S. Chatzinotas, B. Ottersten, "LEO Satellite Constellations for 5G and Beyond: How Will They Reshape Vertical Domains?," in IEEE Communications Magazine, vol. 59, no. 7, pp. 30-36, July 2021. (SCI Q1 Top, IF=9.619) [URL]
[32] L. Qiao, J. Zhang, Z. Gao, D. W. K. Ng, M. D. Renzo and M. -S. Alouini, "Massive Access in Media Modulation Based Massive Machine-Type Communications," in IEEE Transactions on Wireless Communications, vol. 21, no. 1, pp. 339-356, Jan. 2022, doi: 10.1109/TWC.2021.3095484. [URL] [Slides] [ Codes ]
[31] X. Ma, Z. Gao, F. Gao, M. D. Renzo, "Model-Driven Deep Learning Based Channel
Estimation and Feedback for Millimeter-Wave Massive Hybrid MIMO Systems," in IEEE Journal on
Selected Areas in Communications, vol. 39, no. 8, pp. 2388-2406, Aug. 2021.
(SCI Q1 Top, IF=11.42)
[URL]
[
Codes
]
[30] A. Liao, Z. Gao, D. Wang, H. Wang, H. Yin, D. W. K. Ng, M.-S. Alouini,
"Terahertz Ultra-Massive MIMO-Based Aeronautical Communications in
Space-Air-Ground Integrated Networks," in IEEE Journal on Selected Areas in Communications,
vol. 39, no. 6, pp. 1741-1767, June 2021.
(SCI Q1 Top, IF=11.42)
[URL]
[
Codes
]
[29] Z. Wan, Z. Gao, F. Gao, M. D. Renzo, M.-S. Alouini, "Terahertz Massive MIMO with Holographic Reconfigurable Intelligent Surfaces," in IEEE Transactions on Communications, vol. 69, no. 7, pp. 4732-4750, July 2021. [URL] [arXiv] [ Codes ]
[28] S. Lyu, Z. Wang, Z. Gao, H. He and L. Hanzo, "Lattice-Based mmWave Hybrid Beamforming," in IEEE Transactions on Communications, vol. 69, no. 7, pp. 4907-4920, July 2021. [URL]
[27] M. Ke, Z. Gao, Y. Wu, X. Gao and K. Wong, "Massive Access in Cell-Free Massive
MIMO-Based Internet of Things: Cloud Computing and Edge Computing Paradigms," IEEE
Journal on Selected Areas in Communications, vol. 39, no. 3, pp. 756-772, March
2021.
(SCI Q1 Top, IF=11.42)
[URL]
[arXiv]
[
Codes
]
[Slides]
[26] S. Liu, Z. Gao, J. Zhang, M. D. Renzo and M. -S. Alouini, "Deep Denoising Neural Network Assisted Compressive Channel Estimation for mmWave Intelligent Reflecting Surfaces," IEEE Transactions on Vehicular Technology, vol. 69, no. 8, pp. 9223-9228, Aug. 2020. (SCI Q2, IF=5.379) [URL] [ Codes ]
[25] L. Qiao, J. Zhang, Z. Gao, S. Chen and L. Hanzo, "Compressive Sensing Based Massive Access for IoT Relying on Media Modulation Aided Machine Type Communications," IEEE Transactions on Vehicular Technology, vol. 69, no. 9, pp. 10391-10396, Sept. 2020. (SCI Q2, IF=5.379) [URL] [arXiv] [ Codes ]
[24] Y. Sun, Z. Gao, H. Wang, B. Shim, G. Gui, G. Mao, F. Adachi, "Principal Component Analysis-Based Broadband Hybrid Precoding for Millimeter-Wave Massive MIMO Systems," IEEE Transactions on Wireless Communications, vol. 19, no. 10, pp. 6331-6346, Oct. 2020. (SCI Q1 Top, IF=6.779) [URL] [arXiv]
[23] X. Ma and Z. Gao, "Data-Driven Deep Learning to Design Pilot and Channel Estimator for Massive MIMO," IEEE Transactions on Vehicular Technology, vol. 69, no. 5, pp. 5677-5682, May 2020. (SCI Q2, IF=5.379) [URL]
[22] K. Ying, Z. Gao, S. Lyu, Y. Wu, H. Wang and M. Alouini, "GMD-Based Hybrid Beamforming for Large Reconfigurable Intelligent Surface Assisted Millimeter-Wave Massive MIMO," IEEE Access, vol. 8, pp. 19530-19539, 2020. (SCI Q2, IF=3.745) [URL] [ Codes ]
[21] M. Ke, Z. Gao, Y. Wu, X. Gao and R. Schober, "Compressive Sensing-Based Adaptive Active User Detection and Channel Estimation: Massive Access Meets Massive MIMO," IEEE Transactions on Signal Processing, vol. 68, pp. 764-779, 2020. (SCI Q1 Top, IF=5.028) [URL] [arXiv] [ Codes ]
[20] Z. Wan, Z. Gao, B. Shim, K. Yang, G. Mao and M. Alouini, "Compressive Sensing Based Channel Estimation for Millimeter-Wave Full-Dimensional MIMO With Lens-Array," IEEE Transactions on Vehicular Technology, vol. 69, no. 2, pp. 2337-2342, Feb. 2020. (SCI Q2, IF=5.379) [URL] [arXiv] [ Codes ]
[19] A. Liao, Z. Gao, H. Wang, S. Chen, M. Alouini and H. Yin, "Closed-Loop Sparse Channel Estimation for Wideband Millimeter-Wave Full-Dimensional MIMO Systems," IEEE Transactions on Communications , vol. 67, no. 12, pp. 8329-8345, Dec. 2019. (SCI Q1 Top, IF=5.646.) [URL] [ Codes ]
[18] Jiening Mao, Zhen Gao, Yongpeng Wu and Muhammad Slim Alouini, "Over-sampling codebook-based hybrid minimum sum-mean-square-error precoding for millimeter-wave 3D-MIMO," IEEE Wireless Communications Letters, vol. 7, no. 6, pp. 938-941, Dec. 2018. (SCI Q3, IF=4.66) [URL] [ Codes ]
[17] Zhen Gao, Linglong Dai, Shuangfeng Han, Chih-Lin I, Zhaocheng Wang, and Lajos Hanzo, "Compressive sensing techniques for next-generation wireless communications," IEEE Wireless Communications, vol. 25, no. 4, pp. 144-153, Jun. 2018. (SCI Q1 Top, IF=11.391) [URL]
[16] A. Liao, Z. Gao, Y. Wu, H. Wang and M. Alouini, "2D Unitary ESPRIT Based Super-Resolution Channel Estimation for Millimeter-Wave Massive MIMO With Hybrid Precoding," IEEE Access, vol. 5, pp. 24747-24757, 2017. (SCI Q2, IF=3.745.) [URL] [ Codes ]
[15] Zhen Gao, Linglong Dai, Chenhao Qi, Chau Yuen, and Zhaocheng Wang, "Near-optimal signal detector based on structured compressive sensing for massive SM-MIMO," IEEE Transactions on Vehicular Technology, vol. 66, no. 2, pp. 1860-1865, Feb. 2017. (SCI Q2, IF=5.379) [URL]
[14] Zhen Gao, Chen Hu, Linglong Dai and Zhaocheng Wang, "Channel estimation for millimeter-wave massive MIMO with hybrid precoding over frequency-selective fading channels," IEEE Communications Letters, vol. 20, no. 6, pp. 1259-1262, June 2016. (SCI Q3, IF=3.419) [URL]
[13] Zhen Gao, Linglong Dai, Wei Dai, Byonghyo Shim, and Zhaocheng Wang, "Structured compressive sensing-based spatio-temporal joint channel estimation for FDD massive MIMO," IEEE Transactions on Communications, vol. 64, no. 2, pp. 601-617, Feb. 2016. (SCI Q1 Top, IF=5.646) [URL]
[12] Zhen Gao, Linglong Dai, Zhaocheng Wang, Sheng Chen, and Lajos Hanzo, "Compressive sensing based multiuser detector for the large-scale SM-MIMO uplink," IEEE Transactions on Vehicular Technology, vol. 65, no. 10, pp. 8725-8730, Oct. 2016. (SCI Q2, IF=5.379) [URL]
[11] Zhen Gao, Linglong Dai, De Mi, Zhaocheng Wang, Muhammad Imran, and Muhammad
Shakir, "MmWave massive MIMO based wireless backhaul for 5G ultra-dense network," IEEE
Wireless Communications, vol. 22, no. 5, pp. 13-21, Oct. 2015. [ESI High Citation]
(SCI Q1 Top, IF=11.391)
[URL]
[10] Zhen Gao, Linglong Dai, Zhaocheng Wang, and Sheng Chen, "Spatially common sparsity based adaptive channel estimation and feedback for FDD massive MIMO," IEEE Transactions on Signal Processing, vol. 63, no. 23, pp. 6169-6183, Dec. 2015. (SCI Q1 Top, IF=5.028) [URL] [ Codes ]
[9] Zhen Gao, Linglong Dai, Chau Yuen, and Zhaocheng Wang, "Asymptotic orthogonality analysis of time-domain sparse massive MIMO channels," IEEE Communications Letters, vol. 19, no. 10, pp. 1826-1829, Oct. 2015. (SCI Q3, IF=3.419) [URL]
[8] Zhen Gao, Chao Zhang, and Zhaocheng Wang, "Robust preamble design for synchronization, signaling transmission, and channel estimation," IEEE Transactions on Broadcasting, vol. 61, no. 1, pp. 98-104, Mar. 2015. [IEEE Broadcast Technology Society 2016 Scott Helt Memorial Award] (SCI Q2, IF=3.419) [URL]
[7] Zhen Gao, Chao Zhang, Zhaocheng Wang, and Sheng Chen, "Priori-Information Aided Iterative Hard Threshold: A Low-Complexity High-Accuracy Compressive Sensing Based Channel Estimation for TDS-OFDM," IEEE Transactions on Wireless Communications, vol. 14, no. 1, pp. 242-251, Jan. 2015. (SCI Q1 Top, IF=6.779) [URL]
[6] Zhen Gao, Linglong Dai, Zhaohua Lu, Chau Yuen, and Zhaocheng Wang, "Super-resolution sparse MIMO-OFDM channel estimation based on spatial and temporal correlations," IEEE Communications Letters, vol. 18, no. 7, pp. 1266-1269, Jul. 2014. (SCI Q3, IF=3.419) [URL]
[5] Zhen Gao, Linglong Dai, and Zhaocheng Wang, "Structured compressive sensing based superimposed pilot design in downlink large-scale MIMO systems," Electronics Letters, vol. 50, no. 12 pp. 896-898, Jun. 2014. [IET 2016 Electronics Letters Premium Award] (SCI Q4, IF=1.316) [URL]
[4] Zhenyu Xiao, Lipeng Zhu, Zhen Gao, Dapeng Oliver Wu, and Xiang-Gen Xia, "User fairness non-orthogonal multiple access (NOMA) for millimeter-wave communications with analog beamforming," IEEE Transactions on Wireless Communications, vol. 18, no. 7, pp. 3411-3423, July 2019. (SCI Q1 Top, IF=6.779) [URL]
[3] Kai Yang, Nan Yang, Neng Ye, Min Jia, Zhen Gao, and Rongfei Fan, "Non-orthogonal multiple access: Achieving sustainable future radio access," IEEE Communications Magazine, vol. 57, no. 2, pp. 116-121, Feb. 2019. (SCI Q1 Top, IF=11.052) [URL]
[2] Chen Hu, Linglong Dai, Talha Mir, Zhen Gao, and Jun Fang, "Super-resolution channel estimation for mmWave massive MIMO with hybrid precoding," IEEE Transactions on Vehicular Technology, vol. 67, no. 9, pp. 8954-8958, Sep. 2018. (SCI Q2, IF=5.379) [URL]
[1] Wenqian Shen, Linglong Dai, Zhen Gao and Zhaocheng Wang, "Spatially correlated channel estimation based on block iterative support detection for massive MIMO," Electronics Letters, vol. 51, no. 7. pp. 587-588, Apr. 2015. (SCI Q4, IF=1.316) [URL]
Conferences :
[32] S. Liu, X. Yu, Z. Gao, and D. W. K. Ng, "DPSS-based dictionary design for near-field XL-MIMO channel estimation'', in Proc. IEEE Int. Conf. Commun. (ICC), Denver, CO, USA, Jun. 2024, pp. 1-6. [arXiv] [Codes] [Slides]
[31] M. Wu, Z. Wan, Y. Wang, S. Liu and Z. Gao, "Deep Learning-Based Rate-Splitting Multiple Access for Massive MIMO-OFDM Systems With Imperfect CSIT," 2022 International Symposium on Wireless Communication Systems (ISWCS), Hangzhou, China, 2022, pp. 1-6. [URL]
[30] M. Wu, Z. Gao, Z. Gao, D. Wu, Y. Yang and Y. Huang, "Deep Learning-Based Hybrid Precoding for FDD Massive MIMO-OFDM Systems with a Limited Pilot and Feedback Overhead," 2022 IEEE International Conference on Communications Workshops (ICC Workshops), Seoul, Korea, Republic of, 2022, pp. 318-323. [URL]
[29] Z. Li, Z. Wan, K. Ying, Y. Mei, M. Ke and Z. Gao, "Reconfigurable Intelligent Surface Assisted Localization Over Near-Field Beam Squint Effect," 2022 International Symposium on Wireless Communication Systems (ISWCS), Hangzhou, China, 2022, pp. 1-6. [URL] [Slides]
[28] M. Ke, Z.Gao, S. Tan, et al., "Massive MIMO-enabled semi-blind detection for grant-free massive connectivity," in Proc IEEE Int. Wireless Commun. Mobile Comput. (IWCMC), Dubrovnik, Croatia, Jul. 2022, pp. 38-43. (Best Paper) [URL] [Slides]
[27] Z. Wan, Z. Gao, S. Tan and L. Fang, "Joint Channel Estimation and Radar Sensing for UAV Networks with mmWave Massive MIMO," 2022 International Wireless Communications and Mobile Computing (IWCMC), Dubrovnik, Croatia, 2022, pp. 44-49. [URL] [Slides]
[26] X. Zhou and Z. Gao, "Joint Active User Detection and Channel Estimation for Grant-Free NOMA-OTFS in LEO Constellation Internet-of-Things," 2021 IEEE/CIC ICCC, 2021, pp. 1-5. [URL] [Slides]
[25] Y. Wang and Z. Gao, "Three-Dimensional Trajectory Design for Multi-User MISO UAV Communications: A Deep Reinforcement Learning Approach," 2021 IEEE/CIC ICCC, 2021, pp. 1-5. [URL] [Slides]
[24] A. Liao, Z. Gao, Y. Yang, H. H. Nguyen, H. Wang and H. Yin, "Angle Estimation for Terahertz Ultra-Massive MIMO-Based Space-to-Air Communications," 2021 IEEE/CIC ICCC, 2021, pp. 1-5. [URL] [Slides]
[23] L. Qiao, Z. Gao, C. He, Z. Xiao, D. Zheng and J. Zhang, "Non-Coherent Grant-Free Massive IoT Access for mMTC: An Index Modulation Perspective," 2021 IEEE/CIC ICCC, 2021, pp. 1-5. [URL] [Slides]
[22] X. Ma, Z. Gao and D. Wu, "Model-Driven Deep Learning Based Channel Estimation for Millimeter-Wave Massive Hybrid MIMO Systems," 2021 IEEE/CIC ICCC, 2021, pp. 1-5. [URL]
[21] Z. Gao, K. Ying, C. He, Z. Xiao, D. Zheng and J. Zhang, "Grant-Free Random Access in Massive MIMO Based LEO Satellite Internet of Things," 2021 IEEE/CIC ICCC, 2021, pp. 1-5. (Best Paper) [URL]
[20] Y. Mei and Z. Gao, "CS-Based CSIT Estimation for Downlink Pilot Decontamination in Multi-Cell FDD Massive MIMO," 2021 IEEE/CIC ICCC, 2021, pp. 1-5. [URL] [Slides]
[19] Y. Mei, Z. Gao, D. Mi, P. Xiao and M.-S. Alouini, "Compressive Sensing Based Grant-Free Random Access for Massive MTC," 2020 International Conference on UK-China Emerging Technologies (UCET), Glasgow, United Kingdom, 2020. (Best Paper) [URL] [Slides]
[18] Z. Wan, Z. Gao and M. Alouini, "Broadband Channel Estimation for Intelligent Reflecting Surface Aided mmWave Massive MIMO Systems," 2020 IEEE International Conference on Communications (ICC), Dublin, Ireland, 2020, pp. 1-6. [URL] [arXiv] [ Codes ] [Slides]
[17] M. Ke, Z. Gao and Y. Wu, "Compressive Massive Access for Internet of Things: Cloud Computing or Fog Computing?," 2020 IEEE International Conference on Communications (ICC), Dublin, Ireland, 2020, pp. 1-6. [URL] [arXiv] [ Codes ] [Slides]
[16] L. Qiao and Z. Gao, "Joint Active Device and Data Detection for Massive MTC Relying on Spatial Modulation," 2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW), Seoul, Korea (South), 2020, pp. 1-6. [URL] [Slides]
[15] A. Liao, Z. Gao, Y. Wu, H. Wang, Y. Yang and D. Wu, "Multi-User Wideband Sparse Channel Estimation for Aerial BS with Hybrid Full-Dimensional MIMO," 2019 IEEE International Conference on Communications Workshops (ICC Workshops), Shanghai, China, 2019, pp. 1-6. [URL] [Slides] [ Codes ]
[14] M. Ke, Z. Gao, Y. Wu and X. Meng, "Compressive Massive Random Access for Massive Machine-Type Communications (mMTC)," 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP), Anaheim, CA, USA, 2018, pp. 156-160.(Poster) [URL] [arXiv] [ Codes ] [Slides]
[13] A. Liao and Z. Gao, "Super-Resolution Channel Estimation for mmWave Massive MIMO," 2018 IEEE International Conference on Communications (ICC), Kansas City, MO, 2018, pp. 1-5. [URL] [Slides]
[12] Yiwei Sun, Zhen Gao, Hua Wang, and Di Wu, "Machine learning based hybrid precoding for mmWave MIMO-OFDM with dynamic subarray," in Proc. IEEE Global Commun. Conf. Workshop (GC Wkshps), Dec. 2018, pp. 1-6.
[11] Yiwei Sun, Zhen Gao, Hua Wang, and Di Wu, "Wideband hybrid precoding for next-generation backhaul/fronthaul based on mmWave FD-MIMO," in Proc. IEEE Global Commun. Conf. Workshop (GC Wkshps), Dec. 2018, pp. 1-6.
[10] Zhitong Ni, J. Andrew Zhang, Kai Yang, Fei Gao, and Zhen Gao, "Codebook based minimum subspace distortion hybrid precoding for millimeter wave systems," in Proc. IEEE Global Commun. Conf. Workshop (GC Wkshps), Dec. 2018, pp. 1-6.
[9] Zhen Gao, Linglong Dai, and Zhaocheneg Wang, "Channel estimation for mmWave massive MIMO based access and backhaul in ultra-dense network," in Proc. IEEE ICC'16.
[8] Wenqian Shen, Linglong Dai, Yi Shi, Zhen Gao, and Zhaocheng Wang, "MIMO channel estimation based on block iterative support detection," in Proc. IEEE WCNC'16.
[7] Linglong Dai, Zhen Gao, and Zhaocheng Wang, "Joint Channel Estimation and Feedback with Low Overhead for FDD Massive MIMO Systems," in Proc. IEEE/CIC ICCC'15.
[6] Zhen Gao, Linglong Dai, and Zhaocheneg Wang, "Block compressive channel estimation and feedback for FDD massive MIMO," IEEE INFOCOM'15 Workshop.
[5] Wenqian Shen, Linglong Dai, Zhen Gao, Zhaocheng Wang, "Joint CSIT acquisition based on low-rank matrix recovery for FDD massive MIMO systems," IEEE INFOCOM'15 Workshop.
[4] Zhen Gao, Chao Zhang. "Frequency-domain response based timing synchronization: A near optimal sampling phase criterion for TDS-OFDM," in Proc. IEEE VTC'14-Fall.
[3] Zhen Gao, Chao Zhang, "Spectrum-efficiency parametric channel estimation scheme for massive MIMO systems," Proc. IEEE BMSB'14.
[2] Linglong Dai, Zhen Gao, Zhaocheng Wang, and Zhixing Yang, "Spectrum-efficient superimposed pilot design based on structured compressive sensing for downlink large-scale MIMO systems," Proc. URSI'14.
[1] Zhen Gao, Chao Zhang, and Zhaocheng Wang. "An improved preamble design for broadcasting signalling with enhanced robustness," Proc. IEEE IWCMC'13.
Associate Editor :
乔力,2019级直博生,研究方向为海量智联网设备高效随机接入技术研究。累计发表/录用论文18篇,以第一作者在IEEE JSAC、TWC、TCOM、Tcom、TVT等顶级期刊发表SCI论文6篇、共同通讯作者SCI论文1篇、第一作者EI论文5篇; 授权专利6项,合著英文专著2部,参与撰写行业白皮书,获中国通信学会科技进步一等奖(排15)。获评北京理工大学徐特立奖学金(2025)、北京市优秀毕业生(2025),曾两获国家奖学金(2022,2024)及校级优秀研究生标兵称号(2022,2024),获北方工业奖学金(2024),研究生特等学业奖学金(2022,2024),优秀博士青苗基金(2025),获国家留学基金委资助赴英国帝国理工学院与萨里大学联合培养,同时获得英国萨里博士学位。 在IEEE GLOBECOM、WCNC等国际旗舰会议中6次担任专题研讨会联合主席。
王馗宇,2021级普博生,研究方向为6G超大规模阵列高效信道估计与定位感知研究。 以第一作者在IEEE TWC顶级期刊发表SCI论文1篇、EI论文1篇(获得IEEE ICCT 2023最佳论文奖)、北大核心中文1篇,参与中文专利2项,合著英文专著1部,于2021年至2025年获二等学业奖学金。
万子维,2018级硕士+2020级博士,研究方向为面向6G通感的新型MIMO架构信道估计研究。 以第一作者或通讯作者在IEEE TVT、IEEE Tcom、IEEE Network、IEEE TWC顶级期刊发表SCI论文6篇、发表国际会议EI论文4篇(IWCMC、EAI WiSATS、ICC),授权专利3项,合著中英文专著2部,获IWCMC 2024最佳论文、EAI WiSATS 2023学生最佳论文。 获国家奖学金(2021)、北京理工大学研究生特等学业奖学金(2021),北方工业奖学金(2023),北京理工大学优秀学生标兵(2023),北京理工大学优秀毕业生(2025),2025年获得英国萨里博士学位。获国际会议IWCMC 2024最佳论文奖、EAI WiSATS 2023最佳学生论文奖。 在IEEE GLOBECOM、WCNC等国际旗舰会议中6次担任专题研讨会联合主席。
梅逸堃,2019级硕士+2021级博士,研究方向为面向 6G 海量通信随机接入的高效检测算法:从压缩感知到深度展开。 以第一作者在IEEE TWC、IEEE TVT顶级期刊发表SCI论文2篇、EI论文2篇(UCET 2020、ICCC 2021,其中UCET2020为最佳论文奖),授权专利5项,合著英文专著3部。曾获教育部博士研究生国家奖学金(2024)、国睿奖学金(2022)、博士特等学业奖学金(2022,2024)、校级优秀研究生(2022,2024)、复杂环境科学探测中心“学术之星”(2021)等奖励和荣誉。
张翼飞,2022级硕士,研究方向为大规模MIMO 系统基于信道语义的智能传输技术研究。 以第一作者在IEEE Network顶级期刊发表SCI论文1篇、申请专利1项。 获教育部硕士研究生国家奖学金(2024)、硕士学业特等学业奖学金(2024)、北京市优秀毕业生(2025)、校级优秀毕业生(2025)、研究生优秀学生标兵(2024)、伍捍东魏茂华微波信息奖学金二等奖(8千人民币)、华为IMC Challenge(国际大学生数学竞赛)空间分离与估计赛道客观成绩第1名、主观成绩第3名,(奖金9千欧元)、第四届无线大数据竞赛冠军(奖金共计11万人民币)、迪文奖学金(2021),曾2024年暑期在华为实习并获得优秀实习生。
刘泓杉,2022级硕士,研究方向为全息大规模MIMO多用户通信系统信道估计与波束成形技术。 以第一作者在Space:Science & Technology重要期刊发表期刊论文1篇、授权专利2项。 曾获教育部硕士研究生国家奖学金(2024)、硕士特等学业奖学金(2024)、研究生优秀学生(2024)、北京市优秀毕业生(2022)、北京理工大学优秀毕业生(2022、2025)、北京理工大学本科生徐特立奖学金(2022)等荣誉。
周星宇,2021级硕士,获2024年徐特立奖学金,2023年国家奖学金,2022年特等学业奖学金等。 硕士期间发表IEEE TWC、IEEE Network期刊论文2篇,发表IEEE Globecom、ICCC会议论文2篇及智能融合网络(英文)期刊论文1篇。 获校优秀学生、北京市优秀毕业生表彰。
陈劭斌,2021级硕士,硕士学位期间以第一作者发表EI收录IEEE WCNC会议论文1篇、WCSP会议论文1篇; 曾获第二届全国大学生数据统计与分析竞赛研究生组一等奖、第八届互联网+大学生创新创业大赛北京理工大学初银奖以及北京理工大学优秀学生(2022-2023学年)、北京理工大学优秀毕业生表彰。
柯玛龙,2019级博士,在IEEE TSP、IEEE JSAC、IEEE WCM、IEEE IoTJ等期刊上发表期刊论文5篇, 其中3篇入选ESI高被引论文; 在IEEE ICC、IEEE WCMC、IEEE GlobalSIP等国际会议上发表会议论文3篇, 其中2篇获Student Travel Grant Award,1篇获会议最佳论文奖。 曾获2024年中国电子教育学会优秀博士论文,2023年北京市优秀毕业生,2023年北京理工大学优秀毕业生,2021年博士研究生国家奖学金,2020&2021年北京理工大学优秀研究生标兵, 2022年北京理工大学优秀研究生、2020-2022年博士特等学业奖学金、2020年华瑞世纪奖学金等荣誉和奖励。
刘仕聪,2020级硕士,获2020、2021年国家奖学金,2021年特等学业奖学金等,并获得香港政府博士生奖学金计划资助攻读博士学位。 在IEEE TVT、IEEE COMMAG、IEEE JSAC等期刊先后发表期刊论文3篇,会议论文2篇(IEEE IWCMC2022最佳学生论文奖,IEEE ICCC 2023会议论文1篇),获AI无线通信竞赛团队三等奖1次。 获校优秀学生、 优秀硕士论文、北京市优秀毕业生表彰。
王洋,2020级硕士,获2023年徐特立奖学金,2023年中国通信学会优秀硕士论文,2022年国家奖学金,2022年特等学业奖学金,2021年小米特等奖学金等。 硕士期间于IEEE IoTJ、WCM等期刊发表SCI论文2篇,Intelligent Computing期刊论文1篇,会议EI论文1篇,获无线大数据竞赛个人二等奖,AI无线通信竞赛团队三等奖。 获校优秀学生、优秀硕士论文、北京市优秀毕业生表彰。
廖安文,2016级硕士+2018级博士,获2018年优秀毕业生,2020年特等学业奖学金和优秀研究生, 2021年国家奖学金,2022年一等学业奖学金等。硕博期间于IEEE JSAC、Tcom、Access等期刊发表SCI论文3篇, 会议EI论文3篇。毕业后在中电科14所工作。
马西锁,2018级硕士,获2020年国家奖学金,2020年特等学业奖学金。硕士期间于IEEE JSAC、TVT等期刊发表SCI论文2篇,会议EI论文1篇。 获北京市优秀毕业生,校优秀毕业生,校优秀团员等荣誉表彰。
毛杰宁,2017级硕士,获2018年国家奖学金,2018年一等学业奖学金,2017年二等学业奖学金。硕士期间于WCL期刊发表SCI论文1篇。 毕业后在中兴通讯工作。