2025/05/26 by Arthur S. de Sena, Jacek Kibiłda, de Sena, Arthur S. +9 · 1 citation
Biochemistry, Genetics and Molecular Biology · Neuroscience · Engineering · #Advanced biosensing and bioanalysis techniques #Neuroscience and Neural Engineering #Wireless Body Area Networks
paper · pdf · doi:10.48550/arxiv.2505.20146
This article investigates the robustness of rate-splitting multiple access (RSMA) in multi-user multiple-input single-output (MISO) systems to interference attacks against channel acquisition induced by beyond-diagonal RISs (BD-RISs). Two primary attack strategies, random and aligned interference, are proposed for fully connected and group-connected reconfigurable intelligent surface (RIS) architectures. Valid random reflection coefficients are generated exploiting the Takagi factorization, while potent aligned interference attacks are achieved through optimization strategies based on a quadratically constrained quadratic program (QCQP) reformulation followed by projections onto the unitary manifold. Our numerical findings reveal that, when perfect channel state information (CSI) is available, RSMA behaves similarly to space-division multiple access (SDMA) and thus is highly susceptible to the attack, with BD-RIS inducing severe performance loss and significantly outperforming diagonal RIS. However, under imperfect CSI, RSMA consistently demonstrates significantly greater robustness than SDMA, particularly as the system's transmit power increases.