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Dr. Zhen Gao ( 高 镇 )
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
Latest | Research Interest | Publications | Patents | Services | Awards | Alumni | Statistics

Email: gaozhen16@bit.edu.cn (prior);      gaozhen010375@foxmail.com

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  Latest News

  Research Interest

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4500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。


  Publications

Book Chapters :

大规模MIMO通信稀疏信号处理 Massive IoT Access for 6G

    [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 :

    [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, doi: 10.1109/TWC.2024.3380638. [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, doi: 10.1109/MNET.2024.3354264. [IEEE URL]

    [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," IEEE Internet of Things Journal, doi: 10.1109/JIOT.2023.3334878. [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, 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", to appear in IEEE J. Sel. Topics Signal Process. [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," accepted by IEEE J. Sel. Top. Sign. Proces, 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," accepted by IEEE Wireless Communications. [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]

    [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 :

    [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.


  Patents
  • Y. Wang, K. Ying, S. Liu, Z. Gao, D. Zheng, J. Zhang, 一种物联网数据收集中的无人机轨迹优化方法及系统 Patent No. 202110635429.8, Publication No. CN113382060B.
  • Z. Gao, M. Wu, Z. Wan, L. Qiao, D. Zheng, J. Zhang, 基于深度学习的联合导频、反馈、多用户混合编码方法. Patent No. 202110966553.2, Publication No. CN113691288A.
  • L. Qiao, Y. Mei, Z. Gao, J. Zhang, 串行干扰消除的海量媒介调制设备上行多址接入系统. Patent No. 202110053140.5, Publication No. CN112787758B.
  • Z. Gao, Z. Wan, A. Liao, Z. Xiao, K. Yang, 利用冗余字典加强稀疏性的透镜天线阵列信道估计方法. Patent No. 201910879291.9, Publication No. CN110650103B.
  • Z. Gao, Y. Sun, J. Mao, H. Wang, 一种基于码本的自适应分组宽带混和波束赋形设计方法. Patent No. 201910791311.7, Publication No. CN110518952B.
  • Z. Gao, M. Ke, Z. Xiao, and Y. Wu, 一种自适应开销的活跃用户检测和信道估计方法. Patent No. 201910345235.7, Publication No. CN110071881A.
  • Z. Gao, Y. Sun, Z. Xiao, H. Wang, 一种混合预编码器及其设计方法. Patent No. 201910065149.0, Publication No. CN109861731B.
  • Z. Gao, A. Liao, K. Yang, H. Wang, 一种基于超分辨率角度和时延估计的宽带信道估计方法. Patent No. 201810778028.6, Publication No. CN108933745B.

  Services

Membership :

  • IEEE Member
  • 北京通信学会第十届理事会通信终端专业委员会副主任委员
  • 中国指挥与控制学会空间信息通信技术专业委员会委员



Associate Editor :

  • IEEE Systems Journal
  • IEEE Communications Letters
  • Frontiers in Communications and Networks
  • Space: Science and Technology [pdf]



Journal Reviewer :

  • IEEE Transactions on Communications
  • IEEE Transactions on Vehicular Technology
  • IEEE Transactions on Signal Processing

  Awards
  • 2021, S. Liu, A. Liao, Z. Wan, M. Ke, National Scholarship for Graduate Student, Beijing Institute of Technology | 刘仕聪, 廖安文, 万子维, 柯玛龙 研究生国家奖学金
  • 2021, M. Ke, and Z. Wan, Principal Academic Scholarship, Beijing Institute of Technology | 柯玛龙、万子维 博士特等奖学金
  • 2021, S. Liu, Z. Wan, M. Ke, Outstanding Graduate Student, Beijing Institute of Technology | 刘仕聪, 万子维, 柯玛龙 研究生优秀学生
  • 2021, X. Ma, Outstanding Graduates of Beijing & BIT | 马西锁 北京市、北京理工大学优秀毕业生
  • 2021, X. Ma, and Z. Wan, Outstanding Member of Communist Youth League | 马西锁、万子维 优秀团员
  • 2020, M. Wu, Second Prize of National Competition of AI | 吴铭晖 全国人工智能大赛二等奖
  • 2020, X. Ma, Principal Academic Scholarship, Beijing Institute of Technology | 马西锁 特等学业奖学金
  • 2020, Z. Wan, General Assembly and Scientific Symposium Honorable Mention, Union Radio Scientifique Internationale | 万子维 URSI GASS H 奖
  • 2020, X. Ma, S. Liu, National Scholarship for Graduate Student, Beijing Institute of Technology | 马西锁, 刘仕聪 研究生国家奖学金
  • 2020, M. Ke, Z. Wan, ICC 2020 Student Travel Grant Award | 柯玛龙, 万子维 ICC 2020 学生参会支持奖金
  • 2019, M. Ke, Huarui Scholarship, Beijing Institute of Technology | 柯玛龙 华瑞世纪奖学金
  • 2019, M. Ke, Principal Academic Scholarship, Beijing Institute of Technology | 柯玛龙 博士特等奖学金
  • 2019, A. Liao, Ceyear Scholarship, Beijing Institute of Technology | 廖安文 思仪奖学金
  • 2019, A. Liao, Principal Academic Scholarship, Beijing Institute of Technology | 廖安文 特等学业奖学金
  • 2019, A. Liao, Outstanding Graduate Student, Beijing Institute of Technology | 廖安文 优秀研究生
  • 2018, A. Liao, Outstanding Master Graduate, Beijing Institute of Technology | 廖安文 优秀硕士毕业生
  • 2018, Z. Wan, Outstanding Undergraduate, Beijing Institute of Technology | 万子维 优秀本科毕业生
  • 2018, M. Ke, IEEE GlobalSIP 2018 Student Travel Grant Award | 柯玛龙 学生参会支持奖金
  • 2018, J. Mao, National Scholarship for Graduate Student, Beijing Institute of Technology | 毛杰宁 研究生国家奖学金


  Alumni
  • [2023] 柯玛龙, 博士,  目前就职于锐捷网络.
    在读期间成果

    柯玛龙，2019级博士，博士期间在IEEE TSP、IEEE JSAC、IEEE WCM等期刊上发表期刊论文4篇， 其中2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。

  • [2023] 刘仕聪, 工学硕士,  目前在香港城市大学读博.
    在读期间成果

    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。 硕士期间于IEEE TVT、COMMAG等期刊发表期刊论文2篇，会议论文1篇（IEEE IWCMC2022最佳学生论文奖），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。

    M.Eng. graduate of 2023. Awardee of National Scholarships in 2020 and 2021, the 1st Prize of the 2021 Annual Scholarship, and the Hong Kong PhD Fellowship Scheme (HKPFS’23-27). Published 2 journal papers in IEEE TVT and COMMAG, 1 conference paper in ICCC, and won 3rd place in the AI Wireless Communication competition. Honored as outstanding student at BIT in 2022 and municipal outstanding graduate of Beijing in 2023. Awarded outstanding master’s thesis of BIT in 2023.

  • [2023] 王洋, 工学硕士,  目前就职于中兴通讯（上海）.
    在读期间成果

    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，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。

  • [2022] 修涵临, 工学硕士,  目前就职于中国空间技术研究院.
  • [2021] 廖安文, 博士,  目前就职于中国电子科技集团公司第十四研究所.
    在读期间成果

    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。

  • [2021] 马西锁, 专业硕士,  目前就职于中国电子科技集团公司第五十四研究所.
    在读期间成果

    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。

  • [2019] 毛杰宁, 专业硕士,  目前就职于中兴通讯（深圳）.
    在读期间成果

    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。


  Statistics

  Cooperation
    Ranking in no particular order
  • H. Vincent Poor, 美国普林斯顿大学教授, 美国国家工程院院士, Fellow of IEEE.[Google Scholar][Homepage]
  • Sheng Chen (陈生), 英国南安普顿大学教授, 英国皇家工程院院士, Fellow of IEEE, and IET.[Google Scholar][Homepage]
  • Lajos Hanzo, 英国南安普顿大学教授, 匈牙利科学院外籍院士, 英国皇家工程院院士, Fellow of IEEE, IET, and EURASIP.[Google Scholar][Homepage]
  • Robert Schober, 埃尔兰根-纽伦堡弗里德里希-亚历山大大学 (FAU) 教授, 加拿大工程院院士, 德国工程院院士, Fellow of IEEE.[Google Scholar][Homepage]
  • Derrick Wing Kwan Ng (吳榮坤), 澳大利亚新南威尔士大学 (UNSW) 副教授, Fellow of IEEE.[Google Scholar][Homepage]
  • Marco Di Renzo, 法国国家科学研究中心 (CNRS) & 巴黎-萨克雷大学教授, Fellow of IEEE, IEEE Commun. Lett. 期刊主编 (2020-2023)[Google Scholar]
  • Mohamed-Slim Alouini, 阿卜杜拉国王科技大学 (KAUST) 教授, Fellow of IEEE.[Google Scholar]
  • Kai-Kit Wong, 英国伦敦大学学院 (UCL) 教授, Fellow of IEEE.[Google Scholar][Homepage]
  • Symeon Chatzinotas, 卢森堡大学教授, Fellow of IEEE.[Google Scholar][Homepage]
  • Björn Ottersten, 卢森堡大学教授, Fellow of IEEE.[Google Scholar][Homepage]

  Association

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