TY - GEN
T1 - Multi-User Symbol-Level Precoding for Downlink Reconfigurable MIMO Communication Systems
AU - Wang, Haonan
AU - Li, Ang
AU - Shen, Yuanjun
AU - Vucetic, Branka
AU - Li, Yonghui
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Pattern reconfigurable multiple-input multiple-output (PR-MIMO) can improve the communication quality compared with the traditional MIMO via modifying the wireless propagation environment actively. In this paper, we discuss the design of the constructive interference (CI)-based symbol-level precoding (CI-SLP) in the multi-user pattern-reconfigurable multiple-input single-output (MU-PR-MISO) communication systems. Firstly, the joint design problem of SLP and the radiation pattern is formulated aimed at maximizing the worst user's service quality. Based on that, the optimization problem is further decoupled and an iterative alternating optimization algorithm is proposed to obtain the desired radiation pattern and the corresponding precoding matrix. After simplifying the joint design problem in the single-pattern case where all the antenna elements adopt the same radiation pattern, the convexity of the pattern design problem can be ensured, leading to an optimal pattern design. Numerical results demonstrate that the reconfigurable radiation pattern can manipulate the wireless channel purposefully so that the performance gains by exploiting CI can be further increased.
AB - Pattern reconfigurable multiple-input multiple-output (PR-MIMO) can improve the communication quality compared with the traditional MIMO via modifying the wireless propagation environment actively. In this paper, we discuss the design of the constructive interference (CI)-based symbol-level precoding (CI-SLP) in the multi-user pattern-reconfigurable multiple-input single-output (MU-PR-MISO) communication systems. Firstly, the joint design problem of SLP and the radiation pattern is formulated aimed at maximizing the worst user's service quality. Based on that, the optimization problem is further decoupled and an iterative alternating optimization algorithm is proposed to obtain the desired radiation pattern and the corresponding precoding matrix. After simplifying the joint design problem in the single-pattern case where all the antenna elements adopt the same radiation pattern, the convexity of the pattern design problem can be ensured, leading to an optimal pattern design. Numerical results demonstrate that the reconfigurable radiation pattern can manipulate the wireless channel purposefully so that the performance gains by exploiting CI can be further increased.
KW - Pattern reconfigurable MIMO
KW - alternating optimization
KW - constructive interference
KW - pattern design
KW - symbol-level precoding
UR - https://www.scopus.com/pages/publications/85142610343
U2 - 10.1109/ISWCS56560.2022.9940400
DO - 10.1109/ISWCS56560.2022.9940400
M3 - 会议稿件
AN - SCOPUS:85142610343
T3 - Proceedings of the International Symposium on Wireless Communication Systems
BT - 2022 International Symposium on Wireless Communication Systems, ISWCS 2022
PB - VDE Verlag GmbH
T2 - 2022 International Symposium on Wireless Communication Systems, ISWCS 2022
Y2 - 19 October 2022 through 22 October 2022
ER -