Xinyu Gao 高昕宇

Ph. D. Student, September 2014~June 2019

Department of Electronic Engineering, Tsinghua University, Beijing 100084, China

Research Interests: Massive MIMO, Millimeter-Wave Communications, Precoding, Beamforming

Address: Room 8-212, Tsinghua-Rohm EE Hall, Tsinghua University, Beijing 100084, China

Tel: +86-10-62795153-806

E-mail: xy-gao14@mails.tsinghua.edu.cn    gxy1231992@sina.com

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

Biography

Xinyu Gao (S’14) received the B.E. degree of Communication Engineering from Harbin Institute of Technology, Heilongjiang, China in 2014, and the Ph. D. degree in Electronic Engineering from Tsinghua University, Beijing, China in 2019. Then he joined Huawei as a "Huawei Young Talent" in July 2019. His research interests include massive MIMO and mmWave communications, with the emphasis on signal detection, precoding and beamforming. He has published 10 journal papers and 10 conference papers. He has received the National Master Scholarship in 2015, the WCSP Best Paper Award in 2016, the IEEE Transactions on Communications Exemplary Reviewer Award in 2017, the National First Prize Award of the 13th China Electronic Design Competition for Graudate Students, the IEEE ICC 2018 Best Paper Award in 2018, the Tsinghua University Speical Award (Graduate Students) in 2018, the Excellent Doctoral Dissertation Award of Tsinghua University in 2019.

Awards

  1. National Master Scholarship, 2015
    2015年国家奖学金
  2. WCSP Best Paper Award, 2016
    2016年WCSP最佳论文奖
  3. IEEE Communication Letters Exemplary Reviewer, 2017
    2017年IEEE Communication Letters模范审稿人奖
  4. IEEE Transactions on Communications Exemplary Reviewer Award, 2017
    2017年IEEE Transactions on Communications模范审稿人奖
  5. IEEE ICC 2018 Best Paper Award, 2018
    2018年IEEE国际通信大会最佳论文奖（Top 1.5%）
  6. National First Prize Award of the 13th China Electronic Design Competition for Graudate Students, 2018
    2018年第十三届中国研究电子设计竞赛全国一等奖
  7. Tsinghua University Speical Award (Graduate Students), 2018
    2018年清华大学特等奖学金（研究生）
  8. Excellent Doctoral Dissertation Award of Tsinghua University, 2019
    2019年清华大学优秀博士学位论文奖
  9. Huawei Young Talent, 2019
    2019年华为天才少年

Publications

Book Chapters

[BC3] 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.

[BC2] 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.

[BC1] Z. Gao, L. Dai, X. Gao, M. Zeeshan 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

[J10] X. Gao, L. Dai, S. Zhou, A. Sayeed, and L. Hanzo, “Wideband beamspace channel estimation for millimeter-wave MIMO systems relying on lens arrays,” IEEE Trans. Signal Process., vol. 67, no. 18, pp. 4809-4824, Sep. 2019.

[J9] 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.

[J8] 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.

[J7] 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.

[J6] 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.

[J5] 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.

[J4] 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.

[J3] 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.

[J2] 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.

[J1] 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.

Conference Papers

[C10] 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)

[C9] 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.

[C8] 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)

[C7] 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.

[C6] 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.

[C5] 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.

[C4] 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.

[C3] X. Gao, L. Dai, J. Zhang, S. Han, and C.-L. I, “Capacity-approaching linear precoding with low-complexity for large-scale MIMO systems,” in Proc. IEEE Int. Conf. Commun. (IEEE ICC’15), London, UK, Jun. 2015.

[C2] 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.

[C1] 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.