Jingbo Tan 谭竞搏

Ph. D. Student, September 2017~June 2022

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

Research Interests: Massive MIMO, Millimeter-Wave Communications, Channel Acquisition, Machine Learning

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

Tel: +86-10-62795153-803

E-mail: tanjb13@mails.tsinghua.edu.cn

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

Biography

Jingbo Tan received the B.S. degree in the Department of Electronic Engineering from Tsinghua University in Jun. 2017, and received Ph.D. degree in the same department of Tsinghua University in Jun. 2022. Currently, he works in Zeku Technology as a staff enginreer on wireless communication algorithm. His research interests include channel feedback and beam management for massive MIMO, and artificial intelligence for wireless communications.

Awards

  1. The Tsinghua University Excellent Art and Social Practice Scholarship, 2014
    2014年清华大学社会实践、文艺优秀奖学金
  2. The Second Prize of Parts of the National College Students Physics Competition, 2014
    2014年全国部分地区大学生物理竞赛二等奖
  3. The Tsinghua University Zheng Geru Scholarship, 2015
    2015年清华之友郑格如奖学金
  4. The Tsinghua University Excellent Student Cadre in Student Union, 2015
    2015年清华大学学生会系统优秀学生干部
  5. The Tsinghua University Excellent Student Cadre, 2015
    2015年清华大学优秀学生干部
  6. The Tsinghua University Excellent Art and Technological Innovation Scholarship, 2016
    2016年清华大学文艺、科技创新优秀奖学金
  7. The National First Prize of the 13th China Graduate Electronic Design Competition, 2018
    2018年第十三届中国研究生电子设计大赛全国一等奖
  8. IEEE Communications Letters Exemplary Reviewer, 2018
    2018年IEEE Communications Letters模范审稿人
  9. Tsinghua University Excellent Counsellor, 2019
    2019年清华大学“一二•九”辅导员奖
  10. IEEE ComSoc Student Competition Honorary Mention, 2019
    2019年IEEE ComSoc Student Competition优胜奖
  11. IEEE Access Best Multimedia Award, 2020
    2020年IEEE Access最佳多媒体奖
  12. Silver of the 48th International Exhibition of Inventions of Geneva, 2021
    2021年第48届日内瓦国际发明展银奖
  13. Tsinghua University Department of Electronic Engineering 'Stars of Electronic' Award, 2021
    2021年清华大学电子工程系研究生“电子之星”奖学金
  14. National Scholarship for Postgraduates, 2021
    2021年研究生国家奖学金
  15. Tsinghua University Linfeng Award, 2021
    2021年清华大学林枫辅导员奖
  16. Tsinghua University Excellent Ph. D. Thesis, 2022
    2022年清华大学优秀博士学位论文奖
  17. Beijing Excellent Graduates, 2022
    2022年北京市优秀毕业生

Publications

Book Chapters

[BC1] J. Tan, X. Wei, S. Bi, M. Cui, and L. Dai, “Massive MIMO for 5G and beyond,” in Flexible and Cognitive Radio Access Technologies for 5G and Beyond, IET, 2020.

Journal Papers

[J10] R. Su, L. Dai, J. Tan, M. Hao and R. MacKenzie, “Capacity Enhancement for Reconfigurable Intelligent Surface-Aided Wireless Network: from Regular Array to Irregular Array,” major revision, IEEE Trans. Vel. Technol., 2022.

[J9] J. Tan and L. Dai, “THz precoding for 6G: challenges, solutions, and opportunities,” IEEE Wireless Commun., 2022.

[J8] L. Dai, J. Tan, Z. Chen, and H. V. Poor, “Delay-phase precoding for wideband THz massive MIMO for 6G,” IEEE Trans. Wireless. Common., vol. 21, no. 9, Sep., 2022.

[J7] J. Tan and L. Dai, “Channel Feedback in TDD Massive MIMO Systems with Partial Reciprocity,” IEEE Trans. Vel. Technol., vol. 70, no. 12, Dec. 2021.

[J6] J. Tan and L. Dai, “Wideband beam tracking in THz massive MIMO systems,” IEEE J. Sel. Areas Commun., vol. 39, no. 6, pp. 1693-1710, Jun. 2021.

[J5] J. Tan, S. Suo, and H. Qin, “Hybird precoding codebook design in millimetre-wave massive MIMO systems with low-resolution phase shifters,” IET Commun., vol. 15, no. 15, pp. 1-15, May 2021.

[J4] J. Tan and L. Dai, “Wideband channel estimation for THz massive MIMO,” China Commun., vol. 18, no. 5, pp. 66-80, May 2021. (Invited Paper)

[J3] L. Dai, B. Wang, M. Wang, X. Yang, J. Tan, S. Bi, S. Xu, F. Yang, Z. Chen, M. D. Renzo, C.-B. Chae, and L. Hanzo, “Reconfigurable intelligent surface-based wireless communication: Antenna design, prototyping and experimental results,” IEEE Access, vol. 8, pp. 45913-45923, Mar. 2020. (2020 IEEE Access Best Multimedia Award)

[J2] T. Wang, J. Tan, W. Ding, Y. Zhang, F. Yang, J. Song, and Z. Han, “Intercommunity Detection Scheme for Social Internet of Things: Compressive Sensing Over Graphs Approach,“ IEEE Internet Things J., vol. 5, no. 6, pp. 4550-4557, Dec. 2018.

[J1] F. Yang, J. Tan, J. Song and Z. Han, “Block-Wise Compressive Sensing Based Multiple Line Outage Detection for Smart Grid,“ IEEE Access, vol. 6, pp. 50984-50993, Sep. 2018.

Conference Papers

[C7] J. Tan and L. Dai, “Wideband beam tracking based on beam zooming for THz massive MIMO,” in Proc. IEEE Global Commun. Conf. (IEEE GLOBECOM’20), Taipei, Taiwan, Dec. 2020.

[C6] R. Su, L. Dai, J. Tan, M. Hao, and R. MacKenzie, “Capacity enhancement for irregular reconfigurable intelligent surface-aided wireless communications,” in Proc. IEEE Global Commun. Conf. (IEEE GLOBECOM’20), Taipei, Taiwan, Dec. 2020.

[C5] J. Tan and L. Dai, “Delay-phase precoding for THz massive MIMO with beam split,” in Proc. IEEE Global Commun. Conf. (IEEE GLOBECOM’19), Hawaii, USA, Dec. 2019.

[C4] X. Zhang, J. Wang, J. Wang and J. Tan, “Multi-Resolution Beamforming and User Clustering in Downlink Massive MIMO Non-Orthogonal Multiple Access System,” in Proc. the 89th IEEE Veh. Technol. Conf. (IEEE VTC’19 Spring), Kuala Lumpur, Malaysia, Jun. 2019.

[C3] J. Tan, L. Dai, J. Li, and S. Jin, “Angle-based codebook for low-resolution hybrid precoding in millimeter-wave massive MIMO systems,” in Proc. IEEE Int. Conf. Commun. China (IEEE ICCC’17), Qingdao, China, Oct. 2017. (Invited Paper).

[C2] J. Tan, F. Yang, C. Pan, J. Song and Z. Han, “Multiple line outage detection for smart grid: A block-wise compressive sensing perspective,” in Proc. IEEE Int. Conf. Smart Grid Commun. (IEEE SmartGridCom’16), Sydney, Australia, Dec. 2016.

[C1] J. Tan, W. Ding, F. Yang, C. Pan and J. Song, “Compressive sensing based time-frequency joint non-orthogonal multiple access,” in Proc. IEEE Int. Symp. Broadband Multimedia Systems Broadcast. (IEEE BMSB’16), Nara, Japan, Jun. 2016.