TY - GEN
T1 - Design of Per-Antenna Constant-Envelope Precoding for Massive MIMO Communications With Beyond Diagonal Reconfigurable Intelligent Surface
AU - Shi, Chunxuan
AU - Li, Yongzhe
AU - Tao, Ran
N1 - Publisher Copyright:
© 2025 European Signal Processing Conference, EUSIPCO. All rights reserved.
PY - 2025
Y1 - 2025
N2 - This paper addresses the design of per-antenna constant-envelope precoding for massive MIMO communications, where a beyond diagonal reconfigurable intelligent surface (BD-RIS) is considered to be involved. The primary goal of the design is to mitigate the multi-user interference for communications, and the reflection-coefficient matrix of the BD-RIS is required to be both unitary and symmetric. Meanwhile, we also impose constant-modulus constraints for the precoding at each antenna. These considerations culminate in a non-convex optimization problem characterized by a min-max type objective and multiple intricate constraints. To solve the design problem, we propose a cyclic alternating framework for finding solutions. For each subproblem arising from the alternating optimization framework, we reformulate the min-max problem into a tractable form, and subsequently devise a fixed-point iteration scheme via proximal splitting. These enable us to obtain a closed-form solution at each iteration. Furthermore, we provide a theoretical analysis that demonstrates convergence to stable points for the developed update procedures. Simulation results confirm that the proposed approach outperforms existing methods across various aspects.
AB - This paper addresses the design of per-antenna constant-envelope precoding for massive MIMO communications, where a beyond diagonal reconfigurable intelligent surface (BD-RIS) is considered to be involved. The primary goal of the design is to mitigate the multi-user interference for communications, and the reflection-coefficient matrix of the BD-RIS is required to be both unitary and symmetric. Meanwhile, we also impose constant-modulus constraints for the precoding at each antenna. These considerations culminate in a non-convex optimization problem characterized by a min-max type objective and multiple intricate constraints. To solve the design problem, we propose a cyclic alternating framework for finding solutions. For each subproblem arising from the alternating optimization framework, we reformulate the min-max problem into a tractable form, and subsequently devise a fixed-point iteration scheme via proximal splitting. These enable us to obtain a closed-form solution at each iteration. Furthermore, we provide a theoretical analysis that demonstrates convergence to stable points for the developed update procedures. Simulation results confirm that the proposed approach outperforms existing methods across various aspects.
KW - Beyond diagonal reconfigurable intelligent surface (BD-RIS)
KW - constant-envelope precoding
KW - proximal splitting
UR - https://www.scopus.com/pages/publications/105029802364
U2 - 10.23919/EUSIPCO63237.2025.11226682
DO - 10.23919/EUSIPCO63237.2025.11226682
M3 - Conference contribution
AN - SCOPUS:105029802364
T3 - European Signal Processing Conference
SP - 2002
EP - 2006
BT - 2025 33rd European Signal Processing Conference, EUSIPCO 2025 - Proceedings
PB - European Signal Processing Conference, EUSIPCO
T2 - 33rd European Signal Processing Conference, EUSIPCO 2025
Y2 - 8 September 2025 through 12 September 2025
ER -