副高职称

高镇


高镇

副教授

出生年月:1989

办公电话:010-68913188

电子邮件:gaozhen@bit.edu.cn


所在学科

信息与通信工程

研究方向

超5G/6G移动通信,智能超表面、通信感知一体化、空天地一体化信息网络、物联网、边缘计算、人工智能

个人简历

2016.07 至今:任职于 北京理工大学 前沿交叉科学研究院

2011.09-2016.07:就读于 清华大学 电子工程系 信息与通信工程 博士

2007.09-2011.07:就读于 北京理工大学 澳门永利总站线路检测 信息工程专业 本科

代表性学术成果

个人学术主页:https://gaozhen16.github.io/

[1] 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," IEEE Wireless Communications, vol. 28, no. 5, pp. 102-109, October 2021. (SCI Q1 Top, IF=11.979)

[2] 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," IEEE Transactions on Wireless Communications. (SCI Q1 Top, IF=7.016, Early Access)

[3] 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," IEEE Internet of Things Journal. (SCI Q1 Top, IF=9.471, Early Access)

[4] 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?," IEEE Communications Magazine, vol. 59, no. 7, pp. 30-36, July 2021. (SCI Q1 Top, IF=9.619)

[5] L. Qiao, J. Zhang*, Z. Gao*, D. W. K. Ng, M. D. Renzo, M.-S Alouini, "Massive access in media modulation based massive machine-type communications," IEEE Transactions on Wireless Communications. (SCI Q1 Top, IF=7.016, Early Access)

[6] 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," IEEE Journal on Selected Areas in Communications, vol. 39, no. 8, pp. 2388-2406, Aug. 2021. (SCI Q1 Top, IF=9.144)

[7] 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," IEEE Journal on Selected Areas in Communications, vol. 39, no. 6, pp. 1741-1767, June 2021. (SCI Q1 Top, IF=9.144)

[8] Z. Wan, Z. Gao*, F. Gao, M. D. Renzo, M.-S. Alouini, "Terahertz massive MIMO with holographic reconfigurable intelligent surfaces," IEEE Transactions on Communications, vol. 69, no. 7, pp. 4732-4750, July 2021. (SCI Q1 Top, IF=5.083)

[9] 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=9.144)

[10] 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=5.978)

[11] 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=7.016)

[12] 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=5.978)

[13] 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=4.931)

[14] 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=5.978)

[15] 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=5.083)

[16] Z. Gao, L. Dai, S. Han, C. -L. I, Z. Wang and L. 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=11.979)

[17] Z. Gao, L. Dai, W. Dai, B. Shim and Z. 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=5.083)

[18] Z. Gao, L. Dai, D. Mi, Z. Wang, M. A. Imran and M. Z. 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=11.979)

[19] Z. Gao, L. Dai, Z. Wang and S. 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=4.931)

[20] Z. Gao, C. Zhang, Z. Wang and S. 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=7.016)

荣誉奖励

中国电子学会自然科学一等奖(2021

爱思唯尔中国高被引学者(2021

IEEE IWCMC 2022最佳论文奖

爱思唯尔中国高被引学者(2020

国际会议IEEE/CIC ICCC 2021最佳论文奖

国际会议UCET 2020最佳论文奖

中国科协青年人才托举工程(2018~2020

IEEE Broadcast Technology Society, Scott Helt Memorial Award 2016 (IEEE Trans. Broadcast.年度唯一最佳论文奖)

IET Electronics Letters Premium Award 2016 (年度唯一最佳论文奖)

指导学生获得

n 2020第二届全国人工智能大赛“AI+无线通信”赛道二等奖 (吴铭晖 30万元)

n 2021第二届无线大数据竞赛-AI无线网络信道重构二等奖(王洋)、三等奖 (吴铭晖)

n 2021第二届无线通信AI大赛三等奖(刘仕聪、王洋、吴铭晖)

学术兼职及其他

期刊 IEEE Systems Journal 副编辑

期刊 IEEE Communications Letters 副编辑

期刊 Frontiers in Communications and Networks 副编辑