Mingyao Cui 铭尧崔

Master Student, September 2020~June 2023

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

Research Interests: Channel Estimation, Machine learning for Wireless Communication

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

Tel: +86-10-62795153-( )

E-mail: cui-my16@mails.tsinghua.edu.cn

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

Biography

Mingyao Cui received the B.S. degree in the Department of Electronic Engineering from Tsinghua University in 2020, and then he became a master student in the same department of Tsinghua University since Sep. 2020. Mr. Cui’s research interest are Millimeter-wave and Teraherz Communications.

Awards

  1. School scholarship : Academic Excellence Scholarship of Tsinghua University
    清华大学学业优秀奖（校设奖学金）
  2. Academic Excellence Scholarship of Tsinghua University
    学业优秀奖学金

Publications

Journal Papers

[J11] T. Zheng, M. Cui, Z. Wu, and L. Dai, “Near-field wideband beam training based on distance-dependent beam split,” IEEE Trans. Wireless Commun., vol. 24, no. 2, pp. 1278-1292, Feb. 2025.

[J10] M. Cui and L. Dai, “Near-field wideband beamforming for extremely large antenna arrays,” IEEE Trans. Wireless Commun., vol. 23, no. 10, pp. 13110-13124, Oct. 2024.

[J9] Z. Wu, M. Cui, and L. Dai, “Enabling more users to benefit from near-field communications: From linear to circular array,” IEEE Trans. Wireless Commun., vol. 23, no. 4, pp. 3735-3748, Apr. 2024.

[J8] M. Cui, H. Jiang, Y. Chen, Y. Du, and L. Dai, “Continuous-time channel prediction based on tensor neural ordinary differential equation,” China Commun., vol. 21, no. 1, pp. 163-174, Jan. 2024.

[J7] J. Tang, M. Cui, S. Xu, L. Dai, F. Yang, and M. Li, “Transmissive RIS for B5G communications: Design, prototyping, and experimental demonstrations,” IEEE Trans. Commun., vol. 71, no. 11, pp. 6605-6615, Nov. 2023.

[J6] M. Cui and L. Dai, “Near-field wideband channel estimation for extremely large-scale MIMO,” Sci. China Inf. Sci., vol. 66, no. 7, pp. 172303, Jul. 2023.

[J5] M. Cui, L. Dai, Z. Wang, S. Zhou, and N. Ge, “Near-field rainbow: Wideband beam training for XL-MIMO,” IEEE Trans. Wireless Commun., vol. 22, no. 6, pp. 3899-3912, Jun. 2023.

[J4] M. Cui, Z. Wu, Y. Lu, X. Wei, and L. Dai, “Near-field MIMO communications for 6G: Fundamentals, challenges, potentials, and future directions,” IEEE Commun. Mag., vol. 61, no. 1, pp. 40-46, Jan. 2023.

[J3] H. Jiang, M. Cui, D. W. K. Ng, and L. Dai, “Accurate channel prediction based on transformer: Making mobility negligible,” IEEE J. Sel. Areas Commun., vol. 40, no. 9, pp. 2717-2732, Sep. 2022.

[J2] M. Cui, J. Tan, and L. Dai, “Wideband hybrid precoding for THz massive MIMO with angular spread (in Chinese),” Sci. Sin. Inform., Aug. 2022.

[J1] M. Cui and L. Dai, “Channel estimation for extremely large-scale MIMO: Far-field or near-field?,” IEEE Trans. Commun., vol. 70, no. 4, pp. 2663-2677, Apr. 2022.

Conference Papers

[C2] Z. Wu, M. Cui, Z. Zhang, and L. Dai, “Distance-Aware Precoding for Near-Field Capacity Improvement in XL-MIMO,” in Proc. IEEE 95th Veh. Technol. Conf. (IEEE VTC’22 Spring), Helsinki, Finland, Jun. 2022.

[C1] M. Cui, Z. Wu, Y. Chen, S. Xu, F. Yang, and L. Dai, “Demo: Low-power communications based on RIS and AI for 6G,” in Proc. IEEE Int. Conf. Commun. (IEEE ICC’22, Demo Session), Gangnam-gu, Seoul, South Korea, May 2022. (IEEE ICC 2022 Outstanding Demo Award)