电子工程系

Department of Electronic Engineering 

 

Linglong Dai, Ph.D., Associate Professor

Room 709, Tsinghua-Rohm EE Hall
Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
Tel: +86-10-62773782 
Fax: +86-10-62795153
E-mail: daill@tsinghua.edu.cn

Homepage: http://oa.ee.tsinghua.edu.cn/dailinglong/

 

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 massive MIMO, millimeter-wave communications, multiple access, and sparse signal processing.

He has published over 50 IEEE journal papers and over 30 IEEE conference papers. He also holds 13 granted patents. He co-authored the book “mmWave Massive MIMO: A Paradigm for 5G” (Academic Press, Elsevier, 2016). Dr. Dai has received the Outstanding Ph.D. Graduate of Tsinghua University Award in 2011, the Excellent Doctoral Dissertation of Beijing Award in 2012, the IEEE ICC Best Paper Award in 2013, the National Excellent Doctoral Dissertation Nomination Award in 2013, the IEEE ICC Best Paper Award in 2014, the URSI Young Scientist Award in 2014, the IEEE Transactions on Broadcasting Best Paper Award in 2015, the IEEE RADIO Young Scientist Award in 2015, the URSI AP-RASC Young Scientist Award in 2016, the WCSP Best Paper Award in 2016, the Exemplary Reviewer of IEEE Transactions on Communications in 2016, the Exemplary Reviewer of IEEE Communications Letters in 2016, and the Second Prize of Science and Technology Award of China Institute of Communications in 2016.

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, a Guest Editor of the IEEE Journal on Selected Areas in Communications (the Special Issue on Millimeter Wave Communications for Future Mobile Networks), the Leading Guest Editor of the IEEE Wireless Communications (the Special Issue on Non-Orthogonal Multiple Access for 5G), and 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/).

 

 

Education background

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

 

Experience

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

07/2006-08/2007, Hardware Design Engineer, Datang-Philips Joint R&D Center

 

Social service

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

 

Areas of Research Interests/ Research Projects

Wireless Communications
Signal Processing for Communications
5G Related Key Technologies (Massive MIMO, Millimeter-Wave Communications, New Multiple Access, etc.)
Compressive Sensing and Its Applications in Wireless Communications

 

Honors And Awards

1) Second Prize of Science and Technology Award of China Institute of Communications, 2016
2) Exemplary Reviewer of IEEE Transactions on Communications, 2016
3) Exemplary Reviewer of IEEE Communications Letters, 2016
4) WCSP Best Paper Award, 2016
5) URSI AP-RASC 2016 Young Scientist Award, 2016
6) IEEE RADIO Young Scientists Award, 2015
7) IEEE Transactions on Broadcasting Best Paper Award, 2015
8) URSI Young Scientists Award, 2014
9) IEEE ICC 2014 Best Paper Award, 2014
10) National Excellent Doctoral Dissertation Nomination Award, 2013
11) IEEE ICC 2013 Best Paper Award, 2013
12) Outstanding Postdoctoral Fellow of Tsinghua University, 2013
13) Postdoctoral Science Special Foundation of China, 2012
14) Excellent Doctoral Dissertation of Beijing, 2012
15) Outstanding Ph.D. Graduate of Tsinghua University, 2011
16) Excellent Doctoral Dissertation of Tsinghua University, 2011
17) Academic Star of Tsinghua University, 2011
18) First Prize of GE Technology Innovation Competition in China, 2010
19) First-class scholarship of Tsinghua University, 2010
20) Outstanding Student Leader of Tsinghua University, 2009

 

Academic Achievement

Books

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

[2] L. Dai, Z. Wang, and Y. Li, Compressive Sensing for Wireless Networks, Chinese translated version, Tsinghua Press, 2017.

Book Chapters

[1] 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.

[2] 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.

[3] 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.

[4] 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] B. Wang, L. Dai, Z. Waqng, N. Ge, and S. Zhou, “Spectrum and energy efficient beamspace MIMO-NOMA for millimeter-wave communications using lens antenna array,” to appear in IEEE J. Sel. Areas Commun., 2017.

[2] J. Zhang, L. Dai, Z. He, S. Jin, and X. Li, “Performance analysis of mixed-ADC massive MIMO systems over Rician fading channels,” to appear in IEEE J. Sel. Areas Commun., 2017.

[3] W. Shen, L. Dai, Y. Zhang, J. Li, and Z. Wang, “On the performance of channel statistics-based codebook for massive MIMO channel feedback,” to appear in IEEE Trans. Veh. Technol., 2017.
 
[4] X. Gao, L. Dai, Y. Zhang, T. Xie, X. Dai, and Z. Wang, “Fast channel tracking for terahertz beamspace massive MIMO systems,” to appear in IEEE Trans. Veh. Technol., 2017.

[5] 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.

[6] 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.

[7] 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.

[8] 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.

[9] 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.

[10] 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.

[11] 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.

[12] 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.

[13] 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.

[14] 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.

[15] 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.

[16] 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.

[17] 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.

[18] 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.

[19] 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.

[20] 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.

[21] 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.

[22] 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.

[23] 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.

[24] 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.

[25] 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.

[26] 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.

[27] 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.

[28] 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.

[29] 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.

[30] 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.
 
[31] 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.

[32] 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.

[33] 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, Jun. 2015.

[34] 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.

[35] 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.

[36] 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.

[37] 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.

[38] 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.

[39] 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.

[40] 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.

[41] 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.

[42] 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.

[43] 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.

[44] 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.

[45] 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.

[46] L. Dai, and Z. Wang, “Time-frequency training OFDM,” Electron. Lett., vol. 47, no. 20, pp. 1128-1129, Sep. 2011.

[47] 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.


Conference Papers

[1]  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.
 
[2]  W. Shen, L. Dai, G. Gui, Z. Wang, R. W. Heath, and F. Adachi, “AoD-adaptive subspace codebook for channel feedback in FDD massive MIMO systems,” in Proc. IEEE Int. Conf. Commun. (IEEE ICC'17), Paris, France, May 2017.

[3]  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)

[4]  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)

[5]  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.

[6]  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.

[7]  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.

[8]  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.

[9]  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.

[10]  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.

[11]  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)

[12]  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.

[13]  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)

[14]  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)

[15]  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.

[16]  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.

[17]  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.

[18]  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.

[19]  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.

[20]  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.

[21]  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.

[22]  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)

[23]  G. Gui, L. Dai, S. Kumagai, and F. Adachi, “Variable earns profit: Improved adaptive channel estimation using sparse VSS-NLMS algorithms,” in Proc. IEEE Int. Conf. Commun. (IEEE ICC’14), Sydney, Australia, Jun. 2014. (IEEE ICC 2014 Best Paper Award)

[24]  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.

[25]  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.

[26]  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)

[27]  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.

[28]  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.

[29]  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.

[30]  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.

[31]  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.

[32]  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.

[33]  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.

[34]  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.

[35]  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.

[36]  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.