Tian Xie 谢天

Master Student, September 2015~June 2018

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

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

Tel: +86-10-62795153-816

E-mail: razor9321@163.com

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

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

Biography

Tian Xie received the B.S. degree from Tsinghua University, Beijing, China, in 2015, and the Master degree in Electronic Engineering of Tsinghua University, Beijing, China, in 2018. He is a Research Scientist of China Mobile Research Institute sine July 2018. His research interests are massive MIMO and millimeter-wave communications. He has received the the IEEE Transactions on Communications Exemplary Reviewer Award in 2016, the IEEE Communications Letters Exemplary Reviewer Award in 2017, the National Scholarship for Graduate Students in 2018, and the Excellent Master Dissertation of Tsinghua University in 2018.

Awards

  1. IEEE Transactions on Communications Exemplary Reviewer Award, 2016
    2016年IEEE Transactions on Communications模范审稿人
  2. IEEE Communications Letters Exemplary Reviewer Award , 2017
    2017年IEEE Communications Letters模范审稿人
  3. National Scholarship for Graduate Students, 2018
    2018年研究生国家奖学金
  4. Excellent Master Dissertation of Tsinghua University, 2018
    2018年清华大学优秀硕士学位论文奖（Top 3.8%）
  5. China Communications Best Paper Award, 2019
    2019年《中国通信》最佳论文奖
  6. Chinese Institute of Electronics Excellent Master Thesis Award, 2019
    2019年中国电子学会优秀硕士学位论文奖

Publications

Book Chapters

[BC1] Xinyu Gao, Linglong Dai, Zhen Gao, Tian Xie, Zhaocheng Wang, and Shahid Mumtaz, “Precoding for mmWave Massive MIMO,” in MmWave Massive MIMO: A Paradigm for 5G, Chapter 5, pp. 79-111, Academic Press, Elsevier, 2016.

Journal Papers

[J4] 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.

[J3] 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)

[J2] 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.

[J1] 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.

Conference Papers

[C3] 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)

[C2] T. Xie, Q. Han, H. Xu, Z. Qi, and W. Shen, “A Low-complexity linear precoding scheme based on SOR method for massive MIMO systems,” in Proc. IEEE Veh. Technol. Conf. (IEEE VTC’15 Spring), Glasgow, Scotland, May 2015.

[C1] T. Xie, Z. Lu, Q. Han, J. Quan, and B. Wang, “Low-complexity LSQR-based linear precoding for massive MIMO systems,” in Proc. IEEE Veh. Technol. Conf. (IEEE VTC’15 Fall), Bosten, U.S, Oct. 2015.