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个人简介

戴凌龙,男,重庆人,中共党员,现为清华大学电子工程系长聘副教授、博士生导师,国家优秀青年科学基金获得者。先后于2003年、2006年、2011年在浙江大学信息与电子工程学系、电信科学技术研究院、清华大学电子工程系获工学学士、硕士、博士学位。2011年至2013年在清华大学电子工程系做博士后,2013年7月起留校任教,2016年6月晋升为副教授。研究方向为宽带无线通信理论与技术,在多载波、多天线、多址接入等方面积累了较为丰富的科研经验,目前的研究重点是5G/6G无线通信关键技术(主要是大规模MIMO、毫米波/太赫兹、非正交多址接入等)和基于机器学习的新一代无线通信。 讲授本科生课程《通信信号处理》和《移动通信与卫星通信》,独立新开设研究生课程《高等通信信号处理》并编写同名教材。目前指导博士后1名、博士生12名(含留学生2名)、硕士生2名。独立指导的第一位博士生获2018年清华大学特等奖学金(清华在校生最高荣誉),第二位博士生获2019年马可尼青年学者奖(全球每年评选3-4人,中国大陆在校生首次)。 先后作为项目负责人主持国家973计划子课题、国家国际科技合作专项、国家自然科学基金(优青、面上、青年项目)、国内外多家知名通信企业(华为、中兴、中国移动、英国电信等)合作研究等项目十余项,作为技术骨干参与国家973计划、国家863项目、国家科技重大专项等项目多项。成功搭建了基于256单元大规模天线的高清VR无线通信硬件平台和基于机器学习的端到端毫米波通信系统硬件平台。 共发表SCI收录IEEE系列期刊论文60余篇,已获国家发明专利授权16项。出版英文著作MmWave Massive MIMO: A Paradigm for 5G及中文译著《压缩感知理论及其在无线网络中的应用》。 曾获2009年清华大学优秀学生干部、2010年清华大学综合优秀一等奖学金、2010年GE科技创新大赛全国一等奖、2011年第16届清华大学研究生学术新秀、2011年清华大学优秀博士学位论文奖、2011年清华大学优秀博士毕业生、2012年北京市优秀博士学位论文奖、2013年IEEE ICC国际会议最佳论文奖、2013年全国优秀博士学位论文提名奖、2013年清华大学优秀博士后、2014年IEEE ICC国际会议最佳论文奖、2014年国际无线电科学联盟青年科学家奖、2015年权威国际期刊IEEE Transactions on Broadcasting年度唯一最佳论文奖、2016年中国通信学会科学技术奖二等奖(排名1)、2016年Electronics Letters年度唯一最佳论文奖(中国大陆首次)、2017年IEEE ICC国际会议最佳论文奖、2017年国家优秀青年科学基金、2017年IEEE VTC 2017-Fall年度唯一最佳学生论文奖、2017年IEEE Communications Letters优秀编委奖、2017年IEEE通信学会亚太地区杰出青年学者奖、2018年IEEE ICC国际会议最佳论文奖、2018年第七届IEEE通信学会亚太杰出论文奖、2019年北京高校第十一届青年教师教学基本功比赛一等奖。 目前担任国际核心期刊IEEE Transactions on Communications编委、IEEE Transactions on Vehicular Technology编委、IEEE Communications Letters编委,并担任IEEE通信学会5G信号处理技术特别小组共同主席。曾担任IEEE Journal of Selected Topics in Signal Processing大规模MIMO专刊客座编委、IEEE Journal on Selected Areas in Communications毫米波通信专刊客座编委、IEEE Wireless Communications非正交多址接入专刊客座主编。

研究领域

宽带无线通信理论与技术

近期论文

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Books L. Dai, Z. Wang, Y. Li, Compressive Sensing for Wireless Networks, Tsinghua University Press, translated version in Chinese, ISBN: 978-7302468745, Dec. 2017. S. Mumtaz, J. Rodriquez, and L. Dai, MmWave Massive MIMO: A Paradigm for 5G, Academic Press, Elsevier, ISBN: 978-0128044186, Nov. 2016. Book Chapters J. Tan, X. Wei, S. Bi, M. Cui, and L. Dai, “Massive MIMO for 5G and beyond,” in Flexible and Cognitive Radio Access Technologies for 5G and Beyond, IET, 2020. L. Dai, B. Wang, R. Jiao, S. Han, C.-L. I, Z. Ding, “Non-Orthogonal Multiple Access for 5G,” in 5G Networks: Fundamental Requirements, Enabling Technologies, and Operations Management, Chapter 4, pp. 135-203, Wiley-IEEE Press, 2018. S. Mumtaz, J. Rodriquez, and L. Dai, “Introduction to mmWave Massive MIMO,” in MmWave Massive MIMO: A Paradigm for 5G, Chapter 1, pp. 1-18, Academic Press, Elsevier, 2016. X. Gao, L. Dai, Z. Gao, T. Xie, Z. Wang, and S. Mumtaz, “Precoding for mmWave Massive MIMO,” in MmWave Massive MIMO: A Paradigm for 5G, Chapter 5, pp. 79-111, Academic Press, Elsevier, 2016. Z. Gao, L. Dai, C. Hu, X. Gao, S. Mumtaz, and Z. Wang, “Channel Estimation for mmWave Massive MIMO” in MmWave Massive MIMO: A Paradigm for 5G, Chapter 6, pp. 113-139, Academic Press, Elsevier, 2016. Z. Gao, L. Dai, X. Gao, M. Z. Shakir, and Z. Wang, “Fronthaul Design for mmWave Massive MIMO,” in MmWave Massive MIMO: A Paradigm for 5G, Chapter 12, pp. 289-312, Academic Press, Elsevier, 2016. Journal Papers J. Tang, M. Cui, S. Xu, L. Dai, F. Yang, and M. Li, “Transmissive RIS for B5G communications: Design, prototyping, and experimental demonstrations,” IEEE Trans. Commun., 2023. [Full Paper] Z. Zhang and L. Dai, “Pattern-division multiplexing for multi-user continuous-aperture MIMO,” IEEE J. Sel. Areas Commun., vol. 41, no. 8, pp. 2350-2366, Aug. 2023. [Full Paper][Simulation Codes] J. Zhu, Z. Wan, L. Dai, M. Debbah, and H. V. Poor, “Electromagnetic information theory: Fundamentals, modeling, applications, and open problems” IEEE Wireless Commun., 2023. [Full Paper] D. Shen, L. Dai, X. Su, and S. Suo, “Multi-beam design for near-field extremely large-scale RIS-aided wireless communications,” IEEE Trans. Green Commun. Networking, 2023. [Full Paper] J. Tan and L. Dai, “THz precoding for 6G: Challenges, solutions, and opportunities,” IEEE Wireless Commun., 2023. [Full Paper] Z. Zhang and L. Dai, “Reconfigurable intelligent surfaces for 6G: Nine fundamental issues and one critical problem,” Tsinghua Sci. Technol., vol. 28, no. 5, pp. 929-939, Oct. 2023. (Invited Paper) [Full Paper] [Simulation Codes] M. Cui and L. Dai, “Near-field wideband channel estimation for extremely large-scale MIMO,” Sci. China Inf. Sci., vol. 66, no. 7, pp. 172303, Jul. 2023. [Full Paper] [Simulation Codes] Y. Lu and L. Dai, “Near-field channel estimation in mixed LoS/NLoS environments for extremely large-scale MIMO systems,” IEEE Trans. Commun., vol. 71, no. 6, pp. 3694 - 3707, Jun. 2023. [Full Paper] [Simulation Codes] Z. Wu and L. Dai, “Multiple access for near-field communications: SDMA or LDMA?,” IEEE J. Sel. Areas Commun., vol. 41, no. 6, pp. 1918-1935, Jun. 2023. [Full Paper] [Simulation Codes] R. Su, L. Dai, and D. W. K. Ng, “Wideband precoding for RIS-aided THz communications,” IEEE Trans. Commun., vol. 71, no. 6, pp. 3592-3604, Jun. 2023. [Full Paper] [Simulation Codes] M. Cui, L. Dai, Z. Wang, S. Zhou, and N. Ge, “Near-field rainbow: Wideband beam training for XL-MIMO,” IEEE Trans. Wireless Commun., vol. 22, no. 6, pp. 3899-3912, Jun. 2023. [Full Paper] [Simulation Codes] J. Zhu, K. Liu, Z. Wan, L. Dai, T. J. Cui, and H. V. Poor, “Sensing RISs: Enabling dimension-independent CSI acquisition for beamforming,” IEEE Trans. Inf. Theory, vol. 69, no. 6, pp. 3795-3813, Jun. 2023. [Full Paper] [Simulation Codes] R. Su, L. Dai, J. Tan, M. Hao, and R. MacKenzie, “Capacity enhancement for reconfigurable intelligent surface-aided wireless network: From regular array to irregular array,” IEEE Trans. Veh. Technol., vol. 72, no. 5, pp. 6392-6403, May 2023. [Full Paper] [Simulation Codes] Z. Wan, J. Zhu, Z. Zhang, L. Dai, and C. B. Chae, “Mutual information for electromagnetic information theory based on random fields,” IEEE Trans. Commun., vol. 71, no. 4, pp. 1982-1996, Apr. 2023. [Full Paper] [Simulation Codes] Z. Zhang, L. Dai, X. Chen, C. Liu, F. Yang, R. Schober, and H. V. Poor, “Active RIS vs. passive RIS: Which will prevail in 6G?,” IEEE Trans. Commun., vol. 71, no. 3, pp. 1707-1725, Mar. 2023. [Full Paper] [Simulation Codes] M. Cui, Z. Wu, Y. Lu, X. Wei, and L. Dai, “Near-field MIMO communications for 6G: Fundamentals, challenges, potentials, and future directions,” IEEE Commun. Mag., vol. 61, no. 1, pp. 40-46, Jan. 2023. [Full Paper] [Simulation Codes] H. Jiang, M. Cui, D. W. K. Ng, and L. Dai, “Accurate channel prediction based on transformer: Making mobility negligible,” IEEE J. Sel. Areas Commun., vol. 40, no. 9, pp. 2717-2732, Sep. 2022. [Full Paper] [Simulation Codes] L. Dai, J. Tan, Z. Chen, and H. Vincent Poor, “Delay-phase precoding for wideband THz massive MIMO,” IEEE Trans. Wireless Commun., vol. 21, no. 9, pp. 7271-7286, Sep. 2022. [Full Paper] [Simulation Codes] M. Cui, J. Tan, and L. Dai, “Wideband hybrid precoding for THz massive MIMO with angular spread (in Chinese),” Sci. Sin. Inform., Aug. 2022. [Full Paper] [Simulation Codes] L. Dai and X. Wei, “Distributed machine learning based downlink channel estimation for RIS assisted wireless communications,” IEEE Trans. Commun., vol. 70, no. 7, pp. 4900-4909, Jul. 2022. [Full Paper] [Simulation Codes] X. Wei, L. Dai, Y. Zhao, G. Yu, and X. Duan, “Codebook design and beam training for extremely large-scale RIS: Far-field or near-field?,” China Commun., vol. 19, no. 6, pp. 193-204, Jun. 2022. (Invited Paper) [Full Paper] [Simulation Codes] H. Jiang, L. Dai, M. Hao, and R. Mackenzie, “End-to-end learning for RIS-aided communication systems,” IEEE Trans. Veh. Technol., vol. 71, no. 6, pp. 6778-6783, Jun. 2022. [Full Paper] [Simulation Codes] H. Jiang, S. Bi, L. Dai, H. Wang, and J. Zhang, “Residual-aided end-to-end learning of communication system without known channel,” IEEE Trans. Cogn. Commun. Netw., vol. 8, no. 2, pp. 631-641, Jun. 2022. [Full Paper] [Simulation Codes] M. Cui and L. Dai, “Channel estimation for extremely large-scale MIMO: Far-field or near-field?,” IEEE Trans. Commun., vol. 70, no. 4, pp. 2663-2677, Apr. 2022. [Full Paper] [Simulation Codes] R. Jiao, L. Dai, W. Wang, F. Lyu, N. Cheng, and X. Shen, “Max-min fairness for beamspace MIMO-NOMA: From single-beam to multi-beam,” IEEE Trans. Wireless Commun., vol. 21, no. 2, pp. 739-752, Feb. 2022. [Full Paper] [Simulation Codes] K. Liu, Z. Zhang, L. Dai, S. Xu, and F. Yang, “Active reconfigurable intelligent surface: Fully-connected or sub-connected?,” IEEE Commun. Lett., vol. 26, no. 1, pp. 167-171, Jan. 2022. [Full Paper] [Simulation Codes] X. Wei, and L. Dai, “Channel estimation for extremely large-scale massive MIMO: Far-field, near-field, or hybrid-field?,” IEEE Commun. Lett., vol. 26, no. 1, pp. 177-181, Jan. 2022. [Full Paper] [Simulation Codes] K. Liu, Z. Zhang, L. Dai, and L. Hanzo, “Compact user-specific reconfigurable intelligent surfaces for uplink transmission,” IEEE Trans. Commun., vol. 70, no. 1, pp. 680-692, Jan. 2022. [Full Paper] [Simulation Codes] D. Shen and L. Dai, “Dimension reduced channel feedback for reconfigurable intelligent surface aided wireless communications,” IEEE Trans. Commun., vol. 69, no. 11, pp. 7748-7760, Nov. 2021. [Full Paper] [Simulation Codes] C. Hu, L. Dai, S. Han, and X. Wang, “Two-timescale channel estimation for reconfigurable intelligent surface aided wireless communications,” IEEE Trans. Commun., vol. 69, no. 11, pp. 7736-7747, Nov. 2021. [Full Paper] [Simulation Codes] Z. Zhang and L. Dai, “A joint precoding framework for wideband reconfigurable intelligent surface-aided cell-free network,” IEEE Trans. Signal Process., vol. 69, pp. 4085-4101, Aug. 2021. [Full Paper] [Simulation Codes] J. Tan and L. Dai, “Wideband beam tracking in THz massive MIMO systems,” IEEE J. Sel. Areas Commun., vol. 39, no. 6, pp. 1693-1710, Jun. 2021. [Full Paper] [Simulation Codes] J. Tan and L. Dai, “Wideband channel estimation for THz massive MIMO,” China Commun., vol. 18, no. 5, pp. 66-80, May 2021. (Invited Paper) [Full Paper] [Simulation Codes] X. Wei, D. Shen, and L. Dai, “Channel estimation for RIS assisted wireless communications: Part II - an improved method based on double-structured sparsity,” IEEE Commun. Lett., vol. 25, no. 5, pp. 1403-1407, May 2021. (Invited Paper) [Full Paper] [Simulation Codes] X. Wei, D. Shen, and L. Dai, “Channel estimation for RIS assisted wireless communications: Part I - fundamentals, solutions, and future opportunities,” IEEE Commun. Lett., vol. 25, no. 5, pp. 1398-1402, May 2021. (Invited Paper) [Full Paper] [Simulation Codes] P. Wang, J. Fang, L. Dai, H. Li, “Joint transceiver and large intelligent surface design for massive MIMO mmWave systems,” IEEE Trans. Wireless Commun., vol. 20, no. 2, pp. 1052-1064, Feb. 2021. [Full Paper] [Simulation Codes] X. Wei, C. Hu, and L. Dai, “Deep learning for beamspace channel estimation in millimeter-wave massive MIMO systems,” IEEE Trans. Commun., vol. 69, no. 1, pp. 182-193, Jan. 2021. [Full Paper] [Simulation Codes] R. Jiao and L. Dai, “On the max-min fairness of beamspace MIMO-NOMA,” IEEE Trans. Signal Process., vol. 68, pp. 4919-4932, Sep. 2020. [Full Paper] [Simulation Codes] L. Dai, R. Jiao, F. Adachi, H. V. Poor, and L. Hanzo, “Deep learning for wireless communications: An emerging interdisciplinary paradigm,” IEEE Wireless Commun., vol. 27, no. 4, pp. 133-139, Aug. 2020. [Full Paper] C. Hu, X. Wang, L. Dai, and J. Ma, “Partially coherent compressive phase retrieval for millimeter-wave massive MIMO channel estimation,” IEEE Trans. Signal Process., vol. 68, pp. 1673-1687, Mar. 2020. [Full Paper] [Simulation Codes] L. Dai, B. Wang, M. Wang, X. Yang, J. Tan, S. Bi, S. Xu, F. Yang, Z. Chen, M. D. Renzo, C.-B. Chae, and L. Hanzo, “Reconfigurable intelligent surface-based wireless communication: Antenna design, prototyping and experimental results,” IEEE Access, vol. 8, pp. 45913-45923, Mar. 2020. (2020 IEEE Access Best Multimedia Award) [Full Paper] [Video Demo] X. Gao, L. Dai, S. Zhou, A. M. Sayeed, and L. Hanzo, “Wideband beamspace channel estimation for millimeter-wave MIMO systems relying on lens antenna arrays,” IEEE Trans. Signal Process., vol. 67, no. 18, pp. 4809-4824, Sep. 2019. [Full Paper] [Simulation Codes] T. Xie, L. Dai, D. W. K. Ng, and C.-B. Chae, “On the power leakage problem in millimeter-wave massive MIMO with lens antenna arrays,” IEEE Trans. Signal Process., vol. 67, no. 18, pp. 4730-4744, Sep. 2019. [Full Paper] [Simulation Codes] W. Shen, L. Dai, J. An, P. Fan, and R. W. Heath, “Channel estimation for orthogonal time frequency space (OTFS) massive MIMO,” IEEE Trans. Signal Process., vol. 67, no. 16, pp. 4204-4217, Aug. 2019. [Full Paper] [Simulation Codes] D. Zhang, Y. Liu, L. Dai, A. Bashir, A. Nallanathan and B. Shim, “Performance analysis of FD-NOMA-based decentralized V2X systems,” IEEE Trans. Commun., vol. 67, no. 7, pp. 5024-5036, Jul. 2019. [Full Paper] [Simulation Codes] Y. Sun, D. Xu, D. W. K. Ng, L. Dai and R. Schober, “Optimal 3D-trajectory design and resource allocation for solar-powered UAV communication systems,” IEEE Trans. Commun., vol. 67, no. 6, pp. 4281-4298, Jun. 2019. (2022 IEEE ComSoc Stephen O. Rice Prize) [Full Paper] J. Zhang, L. Dai, Z. He, B. Ai, and O. Dobre, “Mixed-ADC/DAC multipair massive MIMO relaying systems: Performance analysis and power optimization,” IEEE Trans. Commun., vol. 67, no. 1, pp. 140-153, Jan. 2019. [Full Paper] [Simulation Codes] L. Dai, B. Wang, M. Peng, and S. Chen, “Hybrid precoding-based millimeter-wave massive MIMO-NOMA with simultaneous wireless information and power transfer,” IEEE J. Sel. Areas Commun., vol. 37, no. 1, pp. 131-141, Jan. 2019. [Full Paper] [Simulation Codes] W. Shen, L. Dai, B. Shim, Z. Wang, and R. W. Heath, “Channel feedback based on AoD-adaptive subspace codebook in FDD massive MIMO systems,” IEEE Trans. Commun., vol. 66, no. 11, pp. 5235-5248, Nov. 2018. [Full Paper] [Simulation Codes] W. Shen, L. Dai, Y. Li, Z. Wang, and L. Hanzo, “Channel feedback codebook design for millimeter-wave massive MIMO systems relying on lens antenna array,” IEEE Wireless Commun. Lett., vol. 7, no. 5, pp. 736-739, Oct. 2018. [Full Paper] [Simulation Codes] C. Hu, L. Dai, T. Mir, Z. Gao, and J. Fang, “Super-resolution channel estimation for mmWave massive MIMO with hybrid precoding,” IEEE Trans. Veh. Technol., vol. 67, no. 9, pp. 8954-8958, Sep. 2018. [Full Paper] [Simulation Codes] L. Dai, B. Wang, Z. Ding, Z. Wang, S. Chen, and L. Hanzo, “A survey of non-orthogonal multiple access for 5G,” IEEE Commun. Surv. Tut., vol. 20, no. 3, pp. 2294-2323, Third Quarter 2018. [Full Paper] J. Zhang, L. Dai, X. Li, Y. Liu and L. Hanzo, “On low-resolution ADCs in practical 5G millimeter-wave massive MIMO systems,” IEEE Commun. Mag., vol. 56, no. 7, pp. 205-211, Jul. 2018. [Full Paper] Z. Gao, L. Dai, S. Han, C.-L. I, Z. Wang, and L. Hanzo, “Compressive sensing techniques for next-generation wireless communications,” IEEE Wireless Commun., vol. 25, no. 3, pp. 144-153, Jun. 2018. [Full Paper] E. Boshkovska, D. W. K. Ng, L. Dai, and R. Schober, “Power-efficient and secure WPCNs with hardware impairments and non-linear EH circuit,” IEEE Trans. Commun., vol. 66, no. 6, pp. 2642-2657, Jun. 2018. [Full Paper] [Simulation Codes] T. Xie, L. Dai, X. Gao, M. Z. Shakir, and J. Li, “Geometric mean decomposition based hybrid precoding for mmWave massive MIMO systems,” China Commun., vol. 15, no. 5, pp. 229-238, May 2018. (2019 China Communications Best Paper Award) [Full Paper] [Simulation Codes] S. A. Busari, K. M. S. Huq, S. Mumtaz, L. Dai, and J. Rodriguez, “Millimeter-wave Massive MIMO communication for future wireless systems: A survey,” IEEE Commun. Surv. Tut., vol. 20, no. 2, pp. 836-869, Second Quarter 2018. [Full Paper] X. Gao, L. Dai, and A. M. Sayeed, “Low RF-complexity technologies to enable millimeter-wave MIMO with large antenna array for 5G wireless communications,” IEEE Commun. Mag., vol. 56, no. 4, pp. 211-217, Apr. 2018. [Full Paper] [Simulation Codes] X. Xue, Y. Wang, L. Dai, and C. Masouros, “Relay hybrid precoding design in millimeter-wave massive MIMO systems,” IEEE Trans. Signal Process., vol. 66, no. 8, pp. 2011-2026, Apr. 2018. [Full Paper] [Simulation Codes] R. Jiao, L. Dai, J. Zhang, R. Mackenzie, and M. Hao, “On the performance of NOMA-based cooperative relaying systems over Rician fading channels,” IEEE Trans. Veh. Technol.,vol. 66, no. 12, pp. 11409-11413, Dec. 2017. [Full Paper] [Simulation Codes] B. Wang, L. Dai, Z. Wang, N. Ge, and S. Zhou, “Spectrum and energy-efficient beamspace MIMO-NOMA for millimeter-wave communications using lens antenna array,” IEEE J. Sel. Areas Commun., vol. 35, no. 10, pp. 2370-2382, Oct. 2017. (2020 IEEE ComSoc Leonard G. Abraham Prize) [Full Paper] [Simulation Codes] X. Jiang, H. Wang, Z. Zhang, X. Gao, L. Dai, and M. F. Iskander, “Low RF-complexity massive MIMO systems based on vertical spatial filtering for urban macro cellular networks,” IEEE Trans. Veh. Technol., vol. 66, no.10, pp. 9214-9225, Oct. 2017. [Full Paper] X. Gao, L. Dai, S. Han, C.-L. I, and X. Wang, “Reliable beamspace channel estimation for millimeter-wave massive MIMO systems with lens antenna array,” IEEE Trans. Wireless Commun., vol. 16, no. 9, pp. 6010-6021, Sep. 2017. [Full Paper] [Simulation Codes] M. Xiao, S. Mumtaz, Y. Huang, L. Dai, et al, “Millimeter Wave Communications for Future Mobile Networks,” IEEE J. Sel. Areas Commun., vol. 35, no. 9, pp. 1909-1935, Sep. 2017. [Full Paper] Z. Ding, L. Dai, R. Schober, H. V. Poor, “NOMA meets finite resolution analog beamforming in massive MIMO and millimeter-wave networks,”IEEE Commun. Lett., vol. 21, no. 8, pp. 1879-1882, Aug. 2017. [Full Paper] W. Shen, L. Dai, Y. Zhang, J. Li, and Z. Wang, “On the performance of channe-statistics-based codebook for massive MIMO channel feedback,” IEEE Trans. Veh. Technol., vol. 66, no. 8, pp. 7553-7557, Aug. 2017. [Full Paper] [Simulation Codes] X. Gao, L. Dai, Y. Zhang, T. Xie, X. Dai, and Z. Wang, “Fast channel tracking for terahertz beamspace massive MIMO systems,” IEEE Trans. Veh. Technol., vol. 66, no. 7, pp. 5689-5696, Jul. 2017. [Full Paper] [Simulation Codes] M. Xiao, S. Mumtaz, Y. Huang, L. Dai, Y. Li, et al, “Millimeter wave communications for future mobile networks (guest editorial), part I,” IEEE J. Sel. Areas Commun., vol. 35, no. 7, pp. 1425-1431, Jul. 2017. [Full Paper] J. Zhang, L. Dai, Z. He, S. Jin, and X. Li, “Performance analysis of mixed-ADC massive MIMO systems over Rician fading channels,” IEEE J. Sel. Areas Commun., vol. 35, no. 6, pp. 1327-1338, Jun. 2017. [Full Paper] [Simulation Codes] X. Zhu, L. Dai, Z. Wang, and X. Wang, “Weighted graph coloring based pilot decontamination for multi-cell massive MIMO systems,” IEEE Trans. Veh. Technol., vol. 66, no. 3, pp. 2829-2834, Mar. 2017. [Full Paper] [Simulation Codes] Y. Yang, Y. Zhang, L. Dai, J. Li, S. Mumtaz, and J. Rodriguezi, “Transmission capacity analysis of relay-assisted device-to-device overlay/underlay communication,” IEEE Trans. Industrial Informatics, vol. 13, no. 1, pp. 380-389, Feb. 2017. [Full Paper] [Simulation Codes] Z. Gao, L. Dai, C. Qi, C. Yuen, and Z. Wang, “Near-optimal signal detector based on structured compressive sensing for massive SM-MIMO,” IEEE Trans. Veh. Technol., vol. 66, no. 2, pp. 1860-1865, Feb. 2017. [Full Paper] [Simulation Codes] Y. Zhang, Y. Yang, and L. Dai, “Energy efficiency maximization for device-to-device communication underlaying cellular networks on multiple bands,” IEEE Access, vol. 4, pp. 7682-7691, Nov. 2016. [Full Paper] [Simulation Codes] B. Wang, L. Dai, T. Mir, and J. Li, “Dynamic compressive sensing based multi-user detection for uplink grant-free NOMA,” IEEE Commun. Lett., vol. 20, no. 11, pp. 2320-2323, Nov. 2016. [Full Paper] [Simulation Codes] J. Zhang, L. Dai, X. Zhang, E. Bjornson, and Z. Wang, “Achievable rate of Rician large-scale MIMO channels with transceiver hardware impairments,” IEEE Trans. Veh. Technol., vol. 65, no. 10, pp. 8800-8806, Oct. 2016. [Full Paper] [Simulation Codes] W. Shen, L. Dai, Y. Shi, B. Shim, and Z. Wang, “Joint channel training and feedback for FDD massive MIMO systems,” IEEE Trans. Veh. Technol., vol. 65, no. 10, pp. 8762-8767, Oct. 2016. [Full Paper] [Simulation Codes] Z. Gao, L. Dai, Z. Wang, S. Chen, and L. Hanzo, “Compressive sensing based multi-user detector for large-scale SM-MIMO uplink,” IEEE Trans. Veh. Technol., vol. 65, no. 10, pp. 8725-8730, Oct. 2016. [Full Paper] [Simulation Codes] X. Gao, L. Dai, C. Yuen, and Z. Wang, “Turbo-like beamforming based on tabu search algorithm for millimeter-wave massive MIMO systems,” IEEE Trans. Veh. Technol., vol. 65, no. 7, pp. 5731-5737, Jul. 2016. [Full Paper] [Simulation Codes] B. Wang, L. Dai, T. Mir, and Z. Wang, “Joint user activity and data detection based on structured compressive sensing for NOMA,” IEEE Commun. Lett., vol. 20, no. 7, pp. 1473-1476, Jul. 2016. [Full Paper] [Simulation Codes] Z. Gao, C. Hu, L. Dai, and Z. Wang, “Channel estimation for millimeter-Wave massive MIMO with hybrid precoding over frequency-selective fading channels,” IEEE Commun. Lett., vol. 20, no. 6, pp. 1259-1262, Jun. 2016. [Full Paper] [Simulation Codes] X. Gao, L. Dai, Z. Chen, Z. Wang, and Z. Zhang, “Near-optimal beam selection for beamspace mmWave massive MIMO systems,” IEEE Commun. Lett., vol. 20, no. 5, pp. 1054-1057, May 2016. [Full Paper] [Simulation Codes] J. Zhang, L. Dai, S. Sun, and Z. Wang, “On the spectral efficiency of massive MIMO systems with low-resolution ADCs,” IEEE Commun. Lett. , vol. 20, no. 5, pp. 842-845, May 2016. [Full Paper] [Simulation Codes] X. Gao, L. Dai, S. Han, C.-L. I, and R. W. Heath, “Energy-efficient hybrid analog and digital precoding for mmWave MIMO systems with large antenna arrays,” IEEE J. Sel. Areas Commun., vol. 34, no. 4, pp. 998-1009, Apr. 2016. [Full Paper] [Simulation Codes] Z. Ding, L. Dai, and H. V. Poor, “MIMO-NOMA design for small packet transmission in the Internet of things,” IEEE Access, vol. 4, pp. 1393-1405, Apr. 2016. [Full Paper] [Simulation Codes] T. Xie, L. Dai, X. Gao, X. Dai, and Y. Zhao, “Low-complexity SSOR-based precoding for massive MIMO systems,” IEEE Commun. Lett., vol. 20, no. 4, pp. 744-747, Apr. 2016. [Full Paper] [Simulation Codes] 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 Trans. Commun., vol. 64, no. 2, pp. 601-617, Feb. 2016. [Full Paper] [Simulation Codes] Z. Gao, L. Dai, Z. Wang, and S. Chen, “Spatially common sparsity based adaptive channel estimation and feedback for FDD massive MIMO,” IEEE Trans. Signal Process., vol. 63, no. 23, pp. 6169-6183, Dec. 2015. [Full Paper] [Simulation Codes] W. Shen, L. Dai, B. Shim, S. Mumtaz, and Z. Wang, “Joint CSIT acquisition based on low-rank matrix completion for FDD massive MIMO systems,” IEEE Commun. Lett., vol. 19, no. 12, pp. 2178-2181, Dec. 2015. [Full Paper] [Simulation Codes] L. Dai, X. Gao, X. Su, S. Han, C.-L. I, and Z. Wang, “Low-complexity soft-output signal detection based on Gauss-Seidel method for uplink multi-user large-scale MIMO Systems,” IEEE Trans. Veh. Technol., vol. 64, no. 10, pp. 4839-4845, Oct. 2015. [Full Paper] [Simulation codes] 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 Commun., vol. 22, no. 5, pp. 13-21, Oct. 2015. [Full Paper] [Simulation Codes] X. Zhu, L. Dai, and Z. Wang, “Graph coloring based pilot allocation to mitigate pilot contamination for multi-cell massive MIMO systems,” IEEE Commun. Lett., vol. 19, no. 10, pp. 1842-1845, Oct. 2015. [Full Paper] [Simulation Codes] W. Shen, L. Dai, X. Zhu, and Z. Wang, “Compressive sensing based differential channel feedback for massive MIMO,” Electron. Lett. vol. 51, no. 22, pp. 1824-1826, Oct. 2015. [Full Paper] [Simulation Codes] Z. Gao, L. Dai, C. Yuen, and Z. Wang, “Asymptotic orthogonality analysis of time-domain sparse massive MIMO channels,” IEEE Commun. Lett., vol. 19, no. 10, pp. 1826-1829, Oct. 2015. [Full Paper] L. Dai, B. Wang, Y. Yuan, S. Han, C.-L. I, and Z. Wang, “Non-orthogonal multiple access for 5G: Solutions, challenges, opportunities, and future research trends,” IEEE Commun. Mag., vol. 53, no. 9, pp. 74-81, Sep. 2015. (The 7th IEEE ComSoc Asia-Pacific Outstanding Paper Award) [Full Paper] [Simulation Codes] J. Zhang, L. Dai, Y. Han, Y. Zhang, and Z. Wang, “On the ergodic capacity of MIMO free-space optical systems over turbulence channels,” IEEE J. Sel. Areas Commun., vol. 33, no. 9, pp. 1925-1934, Sep. 2015. [Full Paper] [Simulation Codes] X. Gao, L. Dai, Y. Hu, Y. Zhang, and Z. Wang, “Low-complexity signal detection for large-scale MIMO in optical wireless communications,” IEEE J. Sel. Areas Commun., vol. 33, no. 9, pp. 1903-1912, Sep. 2015. [Full Paper] [Simulation Codes] J. Zhang, L. Dai, W. H. Gerstacker, and Z. Wang, “Effective capacity of communication systems over κ-μ shadowed fading channels,” Electron. Lett.,vol. 51, no. 19, pp. 1540-1542, Sep. 2015. [Full Paper] [Simulation Codes] J. Zhang, L. Dai, Y. Zhang, and Z. Wang, “Unified performance analysis of mixed radio fequency/free-space optical dual-hop transmission systems,” IEEE/OSA J. Lightwave Technol., vol. 33, no. 11, pp. 2286-2293, June 2015. [Full Paper] [Simutation Codes] W. Shen, L. Dai, Z. Gao, and Z. Wang, “Spatially correlated channel estimation based on block iterative support detection for massive MIMO,” Electron. Lett., vol. 51, no.7, pp. 587-588, Apr. 2015. [Full Paper] [Simulation Codes] X. Gao, L. Dai, Y. Ma, and Z. Wang, “Low-complexity near-optimal signal detection for uplink large-scale MIMO systems,” Electron. Lett., vol. 50, no. 18, pp. 1326-1328, Aug. 2014. [Full Paper] [Simulation Codes] Z. Gao, L. Dai, Z. Lu, C. Yuen, and Z. Wang, “Super-resolution sparse MIMO-OFDM channel estimation based on spatial and temporal correlations,” IEEE Commun. Lett., vol. 18, no. 7, pp. 1266-1269, Jul. 2014. [Full Paper] [Simulation Codes] Z. Gao, L. Dai, and Z. Wang, “Structured compressive sensing based superimposed pilot design in downlink large-scale MIMO systems,” Electron. Lett., vol. 50, no. 12, pp. 896-898, Jun. 2014. (2016 Electronics Letters Best Paper Award) [Full Paper] [Simulation Codes] L. Dai, Z. Xu, and Z. Wang, “Flexible multi-block OFDM transmission for high-speed fiber-wireless networks,” IEEE J. Sel. Areas Commun., vol. 31, no. 12, pp. 788-796, Dec. 2013. [Full Paper] L. Dai, J. Wang, Z. Wang, P. Tsiaflakis, and M. Moonen, “Spectrum- and energy-efficient OFDM based on simultaneous multi-channel reconstruction,” IEEE Trans. Signal Process., vol. 61, no. 23, pp. 6047-6059, Dec. 2013. [Full Paper] [Simulation Codes] L. Dai, Z. Wang, and Z. Yang, “Compressive sensing based time domain synchronous OFDM transmission for vehicular communications,” IEEE J. Sel. Areas Commun., vol. 31, no. 9, pp. no. 460-469, Sep. 2013. [Full Paper] [Simulation Codes] L. Dai, Z. Wang, and Z. Yang, “Spectrally efficient time-frequency training OFDM for mobile large-scale MIMO systems,” IEEE J. Sel. Areas Commun., vol. 31, no. 2, pp. 251-263, Feb. 2013. [Full Paper] L. Dai, C. Zhang, Z. Xu, and Z. Wang, “Spectrum-efficient coherent optical OFDM for transport networks,” IEEE J. Sel. Areas Commun., vol. 31, no. 1, pp. 62-74, Jan. 2013. [Full Paper] L. Dai, Z. Wang, C. Pan, and S. Chen, “Wireless positioning using TDS-OFDM signals in single-frequency networks,” IEEE Trans. Broadcast., vol. 58, no. 2, pp. 236-246, Jun. 2012. [Full Paper] L. Dai, Z. Wang, and Z. Yang, “Next-generation digital television terrestrial broadcasting systems: Key technologies and research trends,” IEEE Commun. Mag., vol. 50, no. 6, pp. 150-158, Jun. 2012. [Full Paper] L. Dai, Z. Wang, and Z. Yang, “Time-frequency training OFDM with high spectral efficiency and reliable performance in high speed environments,” IEEE J. Sel. Areas Commun., vol. 30, no. 4, pp. 695-707, May 2012. [Full Paper] [Simulation Codes] L. Dai, and Z. Wang, “Time-frequency training OFDM,” Electron. Lett., vol. 47, no. 20, pp. 1128-1129, Sep. 2011. [Full Paper] L. Dai, Z. Wang, and S. Chen, “A novel uplink multiple access scheme based on TDS-FDMA,” IEEE Trans. Wireless Commun., vol. 10, no. 3, pp. 757-761, Mar. 2011. [Full Paper] [Simulation Codes] Conference Papers D. Shen and L. Dai, “Multi-beam design for extremely large-scale RIS aided near-field wireless communications,” in Proc. 2022 IEEE Global Commun. Conf. (IEEE GLOBECOM’22), Rio de Janeiro, Brazil, Dec. 2022. [Full Paper] [Simulation Codes] [Presentation Slides] Z. Zhang, L. Dai, X. Chen, C. Liu, F. Yang, R. Schober, and H. V. Poor, “Active RISs: Signal modeling, asymptotic analysis, and beamforming design,” in Proc. 2022 IEEE Global Commun. Conf. (IEEE GLOBECOM’22), Rio de Janeiro, Brazil, Dec. 2022. [Full Paper] [Simulation Codes] [Presentation Slides] Z. Wu, M. Cui, Z. Zhang, and L. Dai, “Distance-Aware Precoding for Near-Field Capacity Improvement in XL-MIMO,” in Proc. IEEE 95th Veh. Technol. Conf. (IEEE VTC’22 Spring), Helsinki, Finland, Jun. 2022. [Full Paper] [Simulation Codes] [Presentation Slides] J. Zhu, Z. Zhang, Z. Wan, and L. Dai, “On finite-time mutual information,” in Proc. IEEE Int. Symp. Inf. Theory. (IEEE ISIT’22), Jun. 2022. [Full Paper] [Simulation Codes] [Presentation Slides] M. Cui, Z. Wu, Y. Chen, S. Xu, F. Yang, and L. Dai, “Demo: Low-power communications based on RIS and AI for 6G,” in Proc. IEEE Int. Conf. Commun. (IEEE ICC’22, Demo Session), Gangnam-gu, Seoul, South Korea, May 2022. (IEEE ICC 2022 Outstanding Demo Award) [Full Paper] Z. Zhang and L. Dai, “Pattern-division multiplexing for continuous-aperture MIMO,” in Proc. IEEE Int. Conf. Commun. (IEEE ICC’22), Gangnam-gu, Seoul, South Korea, May 2022. (IEEE ICC 2022 Student Grant) [Full Paper] [Simulation Codes] [Presentation Slides] K. Liu, Z. Zhang, and L. Dai, “User-side RIS: Realizing large-scale array at user side,” in Proc. IEEE Global Commun. Conf. (IEEE GLOBECOM’21), Madrid, Spain, Dec. 2021. [Full Paper] [Simulation Codes] [Presentation Slides] H. Jiang, Y. Lu, X. Li, B. Wang, Y. Zhou, and L. Dai, “Attention-based hybrid precoding for mmWave MIMO systems,” in Proc. IEEE Inf. Theory Workshop (IEEE ITW’21), Kanazawa, Japan, Oct. 2021. (Invited Paper) [Full Paper] [Simulation Codes] [Presentation Slides] H. Jiang and L. Dai, “End-to-end learning of communication system without known channel,” in Proc. IEEE Int. Conf. Commun. (IEEE ICC’21), Montreal, Canada, Jun. 2021. [Full Paper] [Simulation Codes] [Presentation Slides] R. Su, L. Dai, J. Tan, M. Hao, and R. Mackenzie, “Capacity enhancement for irregular reconfigurable intelligent surface-aided wireless communications,” in Proc. IEEE Global Commun. Conf. (IEEE GLOBECOM’20), Taipei, Dec. 2020. [Full Paper] [Simulation Codes] [Presentation Slides] D.Shen and L. Dai, “Channel feedback for reconfigurable intelligent surface assisted wireless communications,” in Proc. IEEE Global Commun. Conf. (IEEE GLOBECOM’20), Taipei, Dec. 2020. [Full Paper] [Simulation Codes] [Presentation Slides] J. Tan and L. Dai, “Wideband beam tracking based on beam zooming for THz massive MIMO,” in Proc. IEEE Global Commun. Conf. (IEEE GLOBECOM’20), Taipei, Taiwan, Dec. 2020. [Full Paper] [Simulation Codes] [Presentation Slides] Z. Zhang and L. Dai, “Capacity improvement in wideband reconfigurable intelligent surface-aided cell-free network,” in Proc. IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (IEEE SPAWC’20), Atlanta, USA, May 2020. [Full Paper] [Simulation Codes] [Presentation Slides] J. Tan and L. Dai, “Delay-phase precoding for THz massive MIMO with beam split,” in Proc. IEEE Global Commun. Conf. (IEEE GLOBECOM’19), Hawaii, USA, Dec. 2019. [Full Paper] [Simulation Codes] [Presentation Slides] W. Shen, L. Dai, S. Han, C.-L. I, and R. W. Heath, “Channel estimation for orthogonal time frequency space (OTFS) massive MIMO,” in Proc. IEEE Int. Conf. Commun. (IEEE ICC’19), Shanghai, China, May 2019. [Full Paper] [Simulation Codes] [Presentation Slides] X. Gao, L. Dai, S. Zhou, A. Sayeed, and L. Hanzo, “Beamspace channel estimation for wideband millimeter-wave MIMO with lens antenna array,” in Proc. IEEE Int. Conf. Commun. (IEEE ICC’18), Kansas, US, May 2018. (IEEE ICC 2018 Best Paper Award) [Full Paper] [Simulation Codes] [Presentation Slides] J. Tan, L. Dai, J. Li, and S. Jin, “Angle-based codebook for low-resolution hybrid precoding in millimeter-wave massive MIMO systems,” in Proc. IEEE Int. Conf. Commun. China (IEEE ICCC’17), Qingdao, China, Oct. 2017. (Invited Paper) [Full Paper] [Simulation Codes][Presentation Slides] B. Wang, L. Dai, X. Gao, and L. Hanzo, “Beamspace MIMO-NOMA for millimeter-wave communications using lens antenna arrays, ” in Proc. IEEE 86th Veh. Technol. Conf. (IEEE VTC’17 Fall) Toronto, Canada, Sep. 2017. (IEEE VTC'17 Fall Best Student Paper Award) [Full Paper] [Simulation Codes][Presentation Slides] T. Xie, L. Dai, X. Gao, H. Yao, and X. Wang, “On the power leakage problem in beamspace MIMO systems with lens antenna array,” in Proc. IEEE 86th Veh. Technol. Conf. (IEEE VTC’17 Fall), Toronto, Canada, Sep. 2017. (Invited Paper) [Full Paper] [Simulation Codes] T. Mir, L. Dai, Y. Yang, W. Shen, and B. Wang, “Optimal femtocell density for maximizing throughput in 5G heterogeneous networks under outage constraints,” in Proc. IEEE 86th Veh. Technol. Conf. (IEEE VTC’17 Fall), Toronto, Canada, Sep. 2017. [Full Paper] [Simulation Codes] X. Gao, L. Dai, Y. Sun, S. Han, and C.-L.I, “Machine learning inspired energy-efficient hybrid precoding for mmWave massive MIMO systems,” in Proc. IEEE Int. Conf. Commun. (IEEE ICC’17), Paris, France, May 2017. [Full Paper] [Simulation Codes] [Presentation Slides] X. Gao, L. Dai, S. Han, C.-L. I, and F. Adachi, “Beamspace channel estimation for 3D lens-based millimeter-wave massive MIMO systems,” in Proc. 8th Int. Conf. Wireless Commun. Signal Process. (WCSP’16), Yangzhou, China, Oct. 2016. (WCSP 2016 Best Paper Award) [Full Paper] [Simulation Codes] [Presentation Slides] L. Dai and X. Gao, “Priori-aided channel tracking for millimeter-wave beamspace massive MIMO systems,” in Proc. URSI Asia-Pacific Radio Science Conf. (URSI AP-RSAC’16), Seoul, Korea, Aug. 2016. (URSI AP-RSAC’16 Young Scientist Award) [Full Paper] [Simulation Codes] [Presentation Slides] L. Dai, X. Gao, S. Han, C.-L. I, and X. Wang, “Beamspace channel estimation for millimeter-wave massive MIMO systems with lens antenna array,” in Proc. IEEE Int. Conf. Commun. China (IEEE ICCC’16), Chengdu, China, Jul. 2016. [Full Paper] [Simulation Codes] [Presentation Slides] J. Zhang, L. Dai, M. Matthaiou, C. Masouros, and S. Jin, “On the spectral efficiency of space-constrained massive MIMO with linear receivers,” in Proc. IEEE Int. Conf. Commun. (IEEE ICC’16), Kuala Lumpur, Malaysia, May 2016. [Full Paper] [Simulation Codes] [Presentation Slides] Z. Gao, L. Dai, and Z. Wang, “Channel estimation for mmWave massive MIMO based access and backhaul in ultra-dense network,” in Proc. IEEE Int. Conf. Commun. (IEEE ICC’16), Kuala Lumpur, Malaysia, May 2016. [Full Paper] [Simulation Codes] [Presentation Slides] W. Shen, L. Dai, Y. Shi, Z. Gao, and Z. Wang, “Massive MIMO channel estimation based on block iterative support detection,” in Proc. IEEE Wireless Commun. Netw. Conf. (IEEE WCNC’16), Doha, Qatar, Apr. 2016. [Full Paper] [Simulation Codes][Presentation Slides] X. Zhu, L. Dai, G. Gui, W. Dai, Z. Wang, and F. Adachi, “Structured matching pursuit for reconstruction of dynamic sparse channels,” in Proc. IEEE Global Commun. Conf. (IEEE GLOBECOM’15), San Diego, USA, Dec. 2015. [Full Paper] [Simulation Codes] [Presentation Slides] J. Zhang, L. Dai, Z. Wang, D. W. K. Ng, and W. Gerstacker, “Effective rate analysis of MISO systems over alpha-mu fading channels,” in Proc. IEEE Global Commun. Conf. (IEEE GLOBECOM’15), San Diego, USA, Dec. 2015. [Full Paper] [Simulation Codes] [Presentation Slides] L. Dai, Z. Gao, and Z. Wang, “Joint channel estimation and feedback with low overhead for FDD massive MIMO systems,” in Proc. IEEE/CIC Int. Conf. Commun. China (IEEE/CIC ICCC’15), Shenzhen, China, Nov. 2015. (Invited Paper) [Full Paper] [Simulation Codes] X. Zhu, L. Dai, W. Dai, Z. Wang, and M. Moonen, “Tracking a dynamic sparse channel via differential orthogonal matching pursuit,” in Proc. IEEE Military Commun. Conf. (IEEE MILCOM’15), Tampa, USA, Oct. 2015. [Full Paper] [Simulation Codes] [Presentation Slides] Z. Gao, L. Dai, W. Shen, and Z. Wang, “Temporal correlation based sparse channel estimation for TDS-OFDM in high-speed scenarios,” in Proc. IEEE Military Commun. Conf. (IEEE MILCOM’15), Tampa, USA, Oct. 2015. (IEEE MILCOM 2015 Student Travel Grant) [Full Paper] [Simulation Codes] L. Dai, X. Gao, and Z. Wang, “Energy-efficient hybrid precoding with low complexity based on successive interference cancelation for millimeter-wave massive MIMO systems,” in Proc. IEEE Radio and Antenna Days of the Indian Ocean ( IEEE RADIO’15), Mauritius, Sep. 2015. (IEEE RADIO 2015 Young Scientist Award) [Full Paper] [Simulation Codes] [Presentation Slides] B. Wang, L. Dai, Y. Yuan, and Z. Wang, “Compressive sensing based multi-user detection for uplink grant-free non-orthogonal multiple access,” in Proc. IEEE 82th Veh. Technol. Conf. (IEEE VTC’15 Fall), Boston, USA, Sep. 2015. [Full Paper] [Simulation Codes][Presentation Slides] L. Dai, X. Gao, J. Quan, S. Han, and C.-L. I, “Near-optimal hybrid analog and digital precoding for downlink mmWave massive MIMO systems,” in Proc. IEEE Int. Conf. Commun. (IEEE ICC’15), London, UK, Jun. 2015. [Full Paper] [Simulation Codes] [Presentation Slides] X. Gao, L. Dai, J. Zhang, S. Han, and C.-L. I, “Capacity-approaching linear pecoding with low-complexity for large-scale MIMO systems,” in Proc. IEEE Int. Conf. Commun. (IEEE ICC’15), London, UK, Jun. 2015. [Full Paper] [Simulation Codes] [Presentation Slides] Z. Gao, L. Dai, W. Dai, and Z. Wang, “Block compressive channel estimation and feedback for FDD massive MIMO,” in Proc. IEEE Int. Conf. Computer Commun. (IEEE INFOCOM’15) Workshop, Hong Kong, Apr. 2015. [Full Paper] [Simulation Codes] W. Shen, L. Dai, Z. Gao, and Z. Wang, “Joint CSIT acquisition based on low-rank matrix recovery for FDD massive MIMO systems,” in Proc. IEEE Int. Conf. Computer Commun. (IEEE INFOCOM’15) Workshop, Hong Kong, Apr. 2015. [Full Paper] [Simulation Codes][Presentation Slides] X. Gao, L. Dai, Y. Hu, Z. Wang, and Z. Wang, “Matrix inversion-less signal detection using SOR method for uplink large-scale MIMO systems,” in Proc. IEEE Global Commun. Conf. (IEEE GLOBECOM’14), Austin, USA, Dec. 2014. [Full Paper] [Simulation Codes] X. Gao, L. Dai, C. Yuen, and Y. Zhang, “Low-complexity MMSE signal detection based on Richardson method for large-scale MIMO systems,” in Proc. IEEE 80th Veh. Technol. Conf. (IEEE VTC’14 Fall), Vancouver, Canada, Sep. 2014. [Full Paper] [Simulation Codes] L. Dai, Z. Gao, Z. Wang, and Z. Yang, “Spectrum-efficient superimposed pilot design based on structured compressive sensing for large-scale MIMO systems” in Proc. URSI General Assembly and Scientific Symposium (URSI GASS’14), Beijing, China, Aug. 2014. (URSI Young Scientist Award 2014) [Full Paper] [Presentation Slides] L. Dai, Z. Wang, Z. Yang, G. Gui, and F. Adachi, “Reliable and energy-efficient OFDM based on structured compressive sensing,” in Proc. IEEE Int. Conf. Commun. (IEEE ICC’14), Sydney, Australia, Jun. 2014. [Full Paper] [Simulation Codes] L. Dai and Z. Wang, “Signaling-embedded preamble design for flexible optical transport networks,” in Proc. IEEE 79th Veh. Technol. Conf. (IEEE VTC’14 Spring), Soul, Korea, May 2014. [Full Paper] [Simulation Codes] L. Dai, J. Wang, Z. Wang, P. Tsiaflakis, and M. Moonen, “Time domain synchronous OFDM based on simultaneous multi-channel reconstruction,” in Proc. IEEE Int. Conf. Commun. (IEEE ICC’13), Budapest, Hungary, Jun. 2013. (IEEE ICC 2013 Best Paper Award) [Full Paper] [Simulation Codes] [Presentation Slides] L. Dai and Z. Wang, “Spectrally efficient time-frequency training OFDM for MIMO systems,” in Proc. IEEE Wireless Commun. Netw. Conf. (IEEE WCNC’13), Shanghai, China, Apr. 2013. [Full Paper] [Simulation Codes] [Presentation Slides] L. Dai and Z. Wang, “Spectrum-efficient coherent optical zero padding OFDM for future high-speed transport networks,” in Proc. IEEE Global Commun. Conf. (IEEE GLOBECOM’12), Anaheim, USA, Dec. 2012. [Full Paper] [Simulation Codes] [Presentation Slides] L. Dai, Z. Wang, J. Wang, and J. Wang, “Time-frequency training OFDM with high spectral efficiency and improved performance over fast fading channels,” in Proc. IEEE Global Commun. Conf. (IEEE GLOBECOM’11), Houston, USA, Dec. 2011. [Full Paper] [Simulation Codes] [Presentation Slides] L. Dai, Z. Wang, C. Pan, and S. Chen, “Positioning in Chinese digital television network using TDS-OFDM signals”, in Proc. the IEEE Int. Conf. Commun. (IEEE ICC’11), Kyoto, Japan, Jun. 2011. [Full Paper] [Presentation Slides] L. Dai, Z. Wang, J. Wang, and J. Wang, “Transmit diversity scheme for TDS-OFDM systems with reduced complexity”, in Proc. the IEEE Int. Conf. Commun. (IEEE ICC’11), Kyoto, Japan, Jun. 2011. [Full Paper] [Simulation Codes] [Presentation Slides] L. Dai, J. Wang, Z. Wang, J. Wang, “TDS-OFDM transmit diversity based on space-time shifted CAZAC sequence”, in Proc. the IEEE Global Commun. Conf. (IEEE GLOBECOM’10), Miami, USA, Dec. 2010. [Full Paper] [Simulation Codes] [Presentation Slides] L. Dai, Z. Wang, J. Wang, Z. Yang, “A novel TDS-FDMA scheme for multi-user uplink scenarios”, in Proc. the IEEE Global Commun. Conf. (IEEE GLOBECOM’10), Miami, USA, Dec. 2010. [Full Paper] [Simulation Codes] [Presentation Slides] L. Dai, Z. Wang, J. Wang, J. Wang, and Y. Zhang, “Accurate position location in TDS-OFDM based digital television broadcasting networks”, in Proc. the 21st Annual IEEE Int. Symp. Personal, Indoor Mobile Radio Commun. (IEEE PIMRC’10), Istanbul, Turkey, Sep. 2010. [Full Paper] [Presentation Slides] L. Dai, Z. Wang, J. Wang, J. Song, “Joint code acquisition and doppler frequency shift estimation for GPS signals”, in Proc. the 72nd IEEE Veh. Technol. Conf. (IEEE VTC’10 Fall), Ottawa, Canada, Sep. 2010. [Full Paper] L. Dai, J. Fu, J. Wang, J. Song, Z. Yang, “A novel time domain synchronous orthogonal frequency division multiple access scheme”, in Proc. the IEEE Global Commun. Conf. (IEEE GLOBECOM’09), Hawaii, USA, Nov. 2009. [Full Paper] [Simulation Codes] [Presentation Slides]

学术兼职

Guest Editor of the IEEE Journal on Selected Areas in Communications (the Special Issue on Millimeter Wave Communications for Future Mobile Networks) Leading Guest Editor of the IEEE Wireless Communications (the Special Issue on Non-Orthogonal Multiple Access for 5G) Workshop co-chair of “MmWave Massive MIMO Communication for 5G” in IEEE VTC 2016-Spring Workshop co-chair of “Novel Waveform and MAC Design for 5G” in IEEE WCNC 2016 IEEE Senior Member IEEE ICC、GLOBECOM等多个权威国际会议技术委员会委员 IEEE JSAC/TSP/TWC/TCOM/TVT/CL等多个权威SCI期刊审稿人 IEEE通信学会5G信号处理技术特别小组共同主席 IEEE Communications Letters编委 IEEE Transactions on Vehicular Technology编委 IEEE Transactions on Communications编委

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