Introduction

Linglong Dai (M'11-SM'14) received the B.S. degree from Zhejiang University in 2003, the M.S. degree (with the highest honor) from the China Academy of Telecommunications Technology (CATT) in 2006, and the Ph.D. degree (with the highest honor) from Tsinghua University, Beijing, China, in 2011. From 2011 to 2013, he was a Postdoctoral Research Fellow with the Department of Electronic Engineering, Tsinghua University, where he has been an Assistant Professor since July 2013 and then an Associate Professor since June 2016. His current research interests include 5G/6G wireless communication technologies (massive MIMO, millimeter-wave/Terahertz communications, non-orthogonal multiple access, etc.) and machine learning for future wireless communications.

He has published over 60 IEEE journal papers and over 40 IEEE conference papers. He also holds 16 granted patents. He co-authored the book “mmWave Massive MIMO: A Paradigm for 5G” (Academic Press, Elsevier, 2016). Dr. Dai has received 5 conference Best Paper Awards at IEEE ICC 2013, IEEE ICC 2014, IEEE ICC 2017, IEEE VTC 2017-Fall, and IEEE ICC 2018. He has also received the Tsinghua University Outstanding Ph.D. Graduate Award in 2011, the Beijing Excellent Doctoral Dissertation Award in 2012, the National Excellent Doctoral Dissertation Nomination Award in 2013, the URSI Young Scientist Award in 2014, the IEEE Transactions on Broadcasting Best Paper Award in 2015, the Second Prize of Science and Technology Award of China Institute of Communications in 2016, the Electronics Letters Best Paper Award in 2016, the IEEE Communications Letters Exemplary Editor Award in 2017, the National Natural Science Foundation of China for Outstanding Young Scholars in 2017, the IEEE ComSoc Asia-Pacific Outstanding Young Researcher Award in 2017, the IEEE ICC 2018 Best Paper Award in 2018, the 7th IEEE ComSoc Asia-Pacific Outstanding Paper Award in 2018, and the First Prize of the 11th Beijing Municipal Young College Teacher’ Basic Teaching Skills Competition.

He currently serves as an Editor of the IEEE Transactions on Communications, an Editor of the IEEE Transactions on Vehicular Technology, an Editor of the IEEE Communications Letters. He has also served as a Guest Editor of the IEEE Journal of Selected Topics in Signal Processing (the Special Issue on Hybrid Analog-Digital Signal Processing for Hardware-Efficient Large Scale Antenna Arrays), a Guest Editor of the IEEE Journal on Selected Areas in Communications (the Special Issue on Millimeter Wave Communications for Future Mobile Networks), and the Leading Guest Editor of the IEEE Wireless Communications (the Special Issue on Non-Orthogonal Multiple Access for 5G). He is a co-chair of the IEEE Special Interest Group (SIG) on Signal Processing Techniques in 5G Communication Systems. He is an IEEE Senior Member.

Particularly, he is dedicated to reproducible research and has made a large amount of simulation code publicly available (refer to his homepage for more details: http://oa.ee.tsinghua.edu.cn/dailinglong/).

09/2007-06/2011, Ph.D., Department of Electronic Engineering, Tsinghua University

09/2003-06/2006, M.S., China Academy of Telecommunication Technology (CATT)

09/1999-06/2003, B.S., Department of Information Science and Electronic Engineering, Zhejiang University

06/2016-now, Associate Professor, Department of Electronic Engineering, Tsinghua University

07/2013-06/2016, Assistant Professor, Department of Electronic Engineering, Tsinghua University

06/2011-06/2013, Postdoctoral Fellow, Department of Electronic Engineering, Tsinghua University

Editor of the IEEE Transactions on Communications

Editor of the IEEE Transactions on Vehicular Technology

Editor of the IEEE Communications Letters

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)

Co-Chair of the IEEE ComSoc Special Interest Group (SIG) on Signal Processing Techniques in 5G Communication Systems

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

Reviewer of IEEE JSAC/TSP/TWC/TCOM/TVT/CL/WCL

TPC Member of IEEE ICC/GLOBECOM/WCNC/VTC

IEEE Senior Member

Wireless Communications

Signal Processing for Communications

5G/6G Key Technologies (Massive MIMO, Millimeter-Wave/THz Communications, Non-Orthogonal Multiple Access, etc.)

Compressive Sensing for Wireless Communications

Machine Learning for Wireless Communications

Prototype and Demo Development for Advanced Wireless Communication Systems

1) The First Prize of the 11th Beijing Municipal Young College Teachers’ Basic Teaching Skills Competition, 2019

2) The 7th IEEE ComSoc Asia-Pacific Outstanding Paper Award, 2018

3) The 13th Excellent Tutor Award of China Electronic Design Competition for Graduate Students, 2018

4) IEEE ICC 2018 Best Paper Award, 2018

5) The 12th IEEE ComSoc Asia-Pacific Outstanding Young Researcher Award, 2017

6) National Natural Science Foundation of China for Distinguished Young Scholar, 2017

7) IEEE Communications Letters Exemplary Editor Award, 2017

8) IEEE VTC’17 Fall Best Student Paper Award, 2017

9) IEEE ICC 2017 Best Paper Award, 2017

10) Electronics Letters Best Paper Award, 2016

11) Second Prize of Science and Technology Award of China Institute of Communications, 2016

12) IEEE Transactions on Broadcasting Best Paper Award, 2015

13) URSI Young Scientist Award, 2014

14) IEEE ICC 2014 Best Paper Award, 2014

15) National Excellent Doctoral Dissertation Nomination Award, 2013

16) IEEE ICC 2013 Best Paper Award, 2013

17) Outstanding Postdoctoral Fellow of Tsinghua University, 2013

18) Excellent Doctoral Dissertation of Beijing, 2012

19) Outstanding Ph.D. Graduate of Tsinghua University, 2011

20) Excellent Doctoral Dissertation of Tsinghua University, 2011

21) Academic Star of Tsinghua University, 2011

22) First Prize of GE Technology Innovation Competition in China, 2010

23) First-class scholarship of Tsinghua University, 2010

24) Outstanding Student Leader of Tsinghua University, 2009

Books

[1] S. Mumtaz, J. Rodriquez, and L. Dai, MmWave Massive MIMO: A Paradigm for 5G, Academic Press, Elsevier, ISBN: 978-0128044186, Nov. 2016.

[2] L. Dai, Z. Wang, and Y. Li, Compressive Sensing for Wireless Networks, Tsinghua University Press, translated version in Chinese, ISBN: 978-7302468745, Dec. 2017.

Book Chapters

[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.

Journal Papers

[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.