Enhancing ISAC Network Throughput Using Beyond Diagonal RIS
Zengrui Liu, Yang Liu, Shanpu Shen, Qingqing Wu, Qingjiang Shi
Abstract
Emerging literature has shown that deploying reconfigurable intelligent surface (RIS) can remarkably promote integrated sensing and communication (ISAC) system’s performance. Meanwhile, the emerging novel beyond-diagonal (BD)-RIS architecture has manifested its superior beamforming capability over the conventional diagonal RIS. This paper investigates utilizing fully-connected BD-RIS to improve ISAC system’s throughput while ensuring sensing quality, By utilizing majorization-minimization (MM) and penalty-dual-decomposition (PDD) method, we develop an efficient algorithm to tackle the orthogonality condition and non-convex quartic inequality involving BD-RIS. Numerical results demonstrate the effectiveness of our solution and the benefit of BD-RIS deployment in ISAC network.