戴凌龙 博士、副教授（教研系列）、博士生导师
北京市海淀区清华大学电子工程系罗姆楼709室100084
电话：+86-
传真：+86-
邮箱：daill@tsinghua.edu.cn
个人主页：http://oa.ee.tsinghua.edu.cn/dailinglong/


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。


教育背景2007.09 – 2011.06 清华大学 电子工程系 博士
2003.09 – 2006.06 电信科学技术研究院 硕士
1999.09 – 2003.06 浙江大学 信息与电子工程学系 学士

工作履历2016.06 - 今 清华大学 电子工程系 副教授、博士生导师
2013.07 - 2016.06 清华大学 电子工程系 助理教授、博士生导师
2011.06 - 2013.06 清华大学 电子工程系 博士后


学术兼职IEEE Transactions on Communications编委
IEEE Transactions on Vehicular Technology编委
IEEE Communications Letters编委
IEEE通信学会5G信号处理技术特别小组共同主席
IEEE JSAC/TSP/TWC/TCOM/TVT/CL等多个权威SCI期刊审稿人
IEEE ICC、GLOBECOM等多个权威国际会议技术委员会委员
IEEE Senior Member



研究领域宽带无线通信
通信信号处理
5G/6G关键技术（大规模MIMO、毫米波/太赫兹通信、非正交多址接入等）
压缩感知理论及其在无线通信中的应用
人工智能与无线通信的交叉融合
先进无线通信技术的硬件原型机及演示平台开发



奖励与荣誉（1）2019年北京高校第十一届青年教师教学基本功比赛一等奖
（2）2018年第七届IEEE通信学会亚太杰出论文奖
（3）2018年第十三届中国研究电子设计竞赛优秀指导老师奖
（4）2018年IEEE国际通信大会最佳论文奖
（5）2017年第十二届IEEE通信学会亚太奖
（6）2017年国家优秀青年科学基金获得者
（7）2017年IEEE Communications Letters优秀编委奖
（8）2017年IEEE国际传输大会唯一最佳学生论文奖
（9）2017年IEEE国际通信大会最佳论文奖
（10）2016年Electronics Letters年度唯一最佳论文奖（中国大陆首次）
（11）2016年中国通信学会科学技术奖二等奖（排名1）
（12）2015年IEEE Transactions on Broadcasting年度唯一最佳论文奖
（13）2014年第三十一届国际无线电科学联盟青年科学家奖
（14）2014年国际通信大会最佳论文奖
（15）2013年全国优秀博士学位论文提名奖
（16）2013年国际通信大会最佳论文奖
（17）2013年清华大学优秀博士后
（18）2012年北京市优秀博士学位论文奖
（19）2011年清华大学优秀博士毕业生
（20）2011年清华大学优秀博士学位论文奖
（21）2011年清华大学学术新秀
（22）2010年GE科技创新大赛全国一等奖
（23）2010年清华大学综合优秀一等奖学金
（24）2009年清华大学优秀学生干部


学术成果专著
[1]S. Mumtaz, J. Rodriquez, and L. Dai, MmWave Massive MIMO: A Paradigm for 5G, Academic Press, Elsevier, ISBN: 86, 2016.
译著
[1]戴凌龙、王昭诚、李云洲：《压缩感知理论及其在无线网络中的应用》，清华大学出版社，2017.
专著章节
[1]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.
[2]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.
[3]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.
[4]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.
[5]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.
期刊论文
[1]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., 2019.
[2]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., 2019.
[3]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., 2019.
[4]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.
[5]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.
[6]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.
[7]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.
[8]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.
[9]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.
[10]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.
[11]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.
[12]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.
[13]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.
[14]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.
[15]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.
[16]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.
[17]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.
[18]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.
[19]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.
[20]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.
[21]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.
[22]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.
[23]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.
[24]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.
[25]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.
[26]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.
[27]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.
[28]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.
[29]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.
[30]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.
[31]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.
[32]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.
[33]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.
[34]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.
[35]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.
[36]Z. Gao, L. Dai, C. Hu, 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.
[37]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.
[38]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.
[39]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.
[40]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.
[41]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.
[42]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.
[43]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.
[44]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.
[45]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.
[46]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.
[47]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.
[48]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.
[49]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.
[50]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.
[51]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.

[52]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.
[53]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.
[54]J. Zhang, L. Dai, Y. Zhang, and Z. Wang, “Unified performance analysis of mixed radio frequency/free-space optical dual-hop transmission systems,” IEEE/OSA J. Lightwave Technol., vol. 33, no. 11, pp. 2286-2293, Jun. 2015.
[55]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.
[56]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.
[57]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.
[58]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.
[59]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.
[60]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.
[61]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.
[62]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.
[63]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.
[64]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.
[65]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.
[66]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.
[67]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.