Xiuhong Wei 魏秀红 Master Student, September 2019~June 2022 Department of Electronic Engineering, Tsinghua University, Beijing 100084, China Research Interests: Channel Estimation, Signal Detection Address: Room 8-212, Tsinghua-Rohm EE Hall, Tsinghua University, Beijing 100084, China
Tel: +86-10-62795153-()
E-mail: weixh19@mails.tsinghua.edu.cn
Homepage: http://oa.ee.tsinghua.edu.cn/dailinglong/members/xiuhongwei |
Biography
Xiuhong Wei received the B.S. degree in the School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai in 2019, and then she received the master degree in the Department of Electronic Engineering, Tsinghua University in June 2022. Currently, she works in at Huawei Institute in Beijing as a research scientist. Her current research interests include channel estimation for massive MIMO and RIS assisted communications, and deep learning for wireless communications.
Awards
Publications
Journal Papers
[J6] L. Dai and X. Wei, “Distributed machine learning based downlink channel estimation for RIS assisted wireless communications,” IEEE Trans. Commun., vol. 70, no. 7, pp. 4900-4909, Jul. 2022.
[J5] X. Wei, L. Dai, Y. Zhao, G. Yu, and X. Duan, “Codebook design and beam training for extremely large-scale RIS: Far-field or near-field?,” China Commun., vol. 19, no. 6, pp. 193-204, Jun. 2022. (Invited Paper)
[J4] X. Wei, and L. Dai, “Channel estimation for extremely large-scale massive MIMO far-field near-field or hybrid-field?,” IEEE Commun. Lett., vol. 26, no. 1, pp. 177-181, Jan. 2022.
[J3] X. Wei, D. Shen, and L. Dai, “Channel estimation for RIS assisted wireless communications: Part II - an improved method based on double-structured sparsity,” IEEE Commun. Lett., vol. 25, no. 5, pp. 1403-1407, May 2021. (Invited Paper)
[J2] X. Wei, D. Shen, and L. Dai, “Channel estimation for RIS assisted wireless communications: Part I - fundamentals, solutions, and future opportunities,” IEEE Commun. Lett., vol. 25, no. 5, pp. 1398-1402, May 2021. (Invited Paper)
[J1] X. Wei, C. Hu, and L. Dai, “Deep learning for beamspace channel estimation in millimeter-wave massive MIMO systems,” IEEE Trans. Commun., vol. 69, no. 1, pp. 182-193, Jan. 2021.