Zijian Zhang 张子健 Ph. D. Student, September 2020~ Department of Electronic Engineering, Tsinghua University, Beijing 100084, China Research Interests: Intelligent Surface, MIMO Precoding and Power Allocation Address: Room 8-212, Tsinghua-Rohm EE Hall, Tsinghua University, Beijing 100084, China
Tel: +86-10-62795153-()
E-mail: zhangzj20@mails.tsinghua.edu.cn
Homepage: https://zhangzij15.github.io |
Biography
Zijian Zhang received the B.E. degree in electronic engineering from Tsinghua University, Beijing, China, in 2020. He is currently working toward the Ph.D. degree in electronic engineering from Tsinghua University, Beijing, China. His research interests include physical-layer algorithms for massive MIMO, holographic MIMO (H-MIMO), and reconfigurable intelligent surfaces (RIS). He is also an amateur in wireless localization and robotics.
He has authored or coauthored several journal and conference papers for IEEE JSAC, IEEE TSP, IEEE TWC, IEEE TCOM, IEEE ICC, IEEE GLOBECOM, etc. He has received the National Scholarship in 2019 and the Excellent Thesis Award of Tsinghua University in 2020.
Awards
Publications
Journal Papers
[J1] Z. Zhang and L. Dai, “A joint precoding framework for wideband reconfigurable intelligent surface-aided cell-free network,” IEEE Trans. Signal Process., vol. 69, pp. 4085-4101, Aug. 2021. (ESI Highly Cited Paper) [Full Paper] [Simulation Codes]
[J2] Z. Zhang, H. Zhao, J. Wang, and Y. Shen, “Signal-multiplexing ranging for network localization,” IEEE Trans. Wireless Commun., vol. 21, no. 3, pp. 1694-1709, Mar. 2022. [Full Paper] [Simulation Codes]
[J3] Z. Zhang, L. Dai, X. Chen, C. Liu, F. Yang, R. Schober, and H. V. Poor, “Active RIS vs. passive RIS: Which will prevail in 6G?,” IEEE Trans. Commun., vol. 71, no. 3, pp. 1707-1725, Mar. 2023. [Full Paper] [Simulation Codes]
[J4] Z. Zhang and L. Dai, “Pattern-division multiplexing for multi-user continuous-aperture MIMO,” IEEE J. Sel. Areas Commun., vol. 41, no. 8, pp. 2350-2366, Aug. 2023. [Full Paper] [Simulation Codes]
[J5] Z. Zhang and L. Dai, “Reconfigurable intelligent surfaces for 6G: Nine fundamental issues and one critical problem,” Tsinghua Sci. Technol., vol. 28, no. 5, pp. 929-939, Oct. 2023. (Invited Paper) [Full Paper] [Simulation Codes]
[J6] K. Liu, Z. Zhang, L. Dai, and L. Hanzo, “Compact user-specific reconfigurable intelligent surfaces for uplink transmission,” IEEE Trans. Commun., vol. 70, no. 1, pp. 680-692, Jan. 2022. [Full Paper] [Simulation Codes]
[J7] K. Liu, Z. Zhang, L. Dai, and L. Hanzo, “Active reconfigurable intelligent surface: Fully-connected or sub-connected?,” IEEE Commun. Lett., vol. 26, no. 1, pp. 167-171, Jan. 2022. (ESI Highly Cited Paper) [Full Paper] [Simulation Codes]
[J8] H. Zhao, Z. Zhang, J. Wang, Z. Zhang, and Y. Shen, “A signal-multiplexing ranging scheme for integrated localization and sensing,” IEEE Wireless Commun. Lett., vol. 11, no. 8, pp. 1609-1613, Aug. 2022. [Full Paper] [Simulation Codes]
[J9] D. Shen, Z. Zhang, and L. Dai, “Joint beamforming design for RIS-assisted cell-free network with multi-hop transmissions,” Tsinghua Sci. Technol., vol. 28, no. 6, pp. 1115-1127, Dec. 2023. [Full Paper]
[J10] Z. Wan, J. Zhu, Z. Zhang, L. Dai, and C. B. Chae, “Mutual information for electromagnetic information theory based on random fields,” IEEE Trans. Commun., vol. 71, no. 4, pp. 1982-1996, Apr. 2023. [Full Paper] [Simulation Codes]
[J11] J. Zhang, Z. Li, and Z. Zhang, “Wideband active RISs: Architecture, modeling, and beamforming design,” IEEE Commun. Lett., vol. 27, no. 7, pp. 1899-1903, Jul. 2023. [Full Paper]
Conference Papers
[C1] Z. Zhang, L. Dai, X. Chen, C. Liu, F. Yang, R. Schober, and H. V. Poor, “Active RISs: Signal modeling, asymptotic analysis, and beamforming design,” in Proc. 2022 IEEE Global Commun. Conf. (IEEE GLOBECOM’22), Rio de Janeiro, Brazil, Dec. 2022. [Full Paper] [Simulation Codes] [Presentation Slides]
[C2] Z. Zhang and L. Dai, “Pattern-division multiplexing for continuous-aperture MIMO,” in Proc. IEEE Int. Conf. Commun. (IEEE ICC’22), Gangnam-gu, Seoul, South Korea, May 2022. (IEEE ICC 2022 Student Grant) [Full Paper] [Simulation Codes]
[C3] Z. Zhang and L. Dai, “Capacity improvement in wideband reconfigurable intelligent surface-aided cell-free network,” in Proc. IEEE 21st Int. WkSp Signal Process. Adv. Wireless Commun. (IEEE SPAWC’20), Atlanta, USA, May 2020. [Full Paper] [Simulation Codes]
[C4] Z. Zhang, H. Zhao, and Y. Shen, “High-Efficient ranging algorithms for wireless sensor network,” in Proc. 11th Int. Conf. Wireless Commun. and Signal Process. (WCSP’19), Xi’an, P.R. China, Oct. 2019. [Full Paper]
[C5] K. Liu, Z. Zhang, and L. Dai, “User-side RIS: Realizing large-scale array at user side,” in Proc. IEEE Global Commun. Conf. (IEEE GLOBECOM’21), Madrid, Spain, Dec. 2021. [Full Paper] [Simulation Codes]
[C6] K. Liu, Z. Zhang, and L. Dai, “On the energy-efficiency fairness of reconfigurable intelligent surface-aided cell-free network,” in Proc. IEEE 93rd Veh. Technol. Conf. (IEEE VTC’21 Spring ), Helsinki, Finland, Apr. 2021. [Full Paper]
[C7] J. Zhu, Z. Zhang, Z. Wan, and L. Dai, “On finite-time mutual information,” in Proc. IEEE Int. Symp. Inf. Theory (IEEE ISIT’22), Jun. 2022. [Full Paper] [Simulation Codes]
[C8] Y. Chen, Z. Zhang, M. Cui, and L. Dai, “Channel estimation for non-stationary extremely large-scale MIMO,” in Proc. IEEE 97th Veh. Technol. Conf. (IEEE VTC’23 Spring), Florence, Italy, Jun. 2022. [Full Paper]
[C9] Y. Lu, Z. Zhang, and L. Dai, “Near-field 2D hierarchical beam training for extremely large-scale MIMO,” in Proc. IEEE Global Commun. Conf. (IEEE GLOBECOM’23), Kuala Lumpur, Malaysia, Dec. 2023.
[C10] 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. [Full Paper] [Simulation Codes]