AI 中文总结
研究 RDARS 辅助的 ISAC 系统，通过引入静音元件减轻干扰增强感知。推导特殊情况的信噪比等表达式，提出基于 AO 的 APDD 算法及 APDD-Net 解决联合设计问题，仿真验证理论并表明该网络在通信与感知性能权衡上表现更佳。
AI 中文摘要
可重构分布式天线与反射面（RDARS）作为一种集成感知与通信（ISAC）的架构颇具前景，因其能在连接与反射模式间灵活切换。本文在 RDARS 辅助的 ISAC 系统中引入可吸收入射能量的静音元件以减轻多用户干扰并增强感知性能。先研究单用户通信、单目标感知和双用户通信的特殊情况，推导相关信噪比表达式及最佳静音元件数量。接着考虑联合波形和三模式切换设计，提出基于交替优化（AO）的惩罚对偶分解（APDD）算法解决混合整数非线性规划（MINLP）问题，还通过深度展开 APDD 迭代开发了模型驱动的 APDD-Net 以降低计算复杂度并加速收敛。仿真结果验证了静音增益的理论发现，并表明所提 APDD-Net 与基准方案相比在通信和感知性能间实现了更好的权衡。
英文摘要
Reconfigurable distributed antennas and reflecting surface (RDARS) has recently emerged as a promising architecture for integrated sensing and communication (ISAC), owing to its flexible element-wise mode switching between connection and reflection modes. In this paper, to fully reap the benefits of mode configuration, muting elements that can absorb the incident energy are introduced into RDARS-aided ISAC systems to mitigate multi-user interference (MUI) and enhance sensing performance. To draw useful insights, we first investigate the special cases of single-UE communication, single-target sensing, and two-UE communication to reveal the importance of muting elements. Specifically, the maximum communication and sensing signal-to-noise ratio (SNR), and the signal-to-interference-plus-noise ratio (SINR) expressions are respectively derived for the three cases, together with the optimal number of muting elements for explicitly characterizing the tradeoff between reflection gain loss and MUI suppression. Next, we consider the joint waveform and tri-mode switching design for RDARS-aided ISAC systems, where an alternating optimization (AO)-based penalty dual decomposition (APDD) algorithm is proposed to solve the mixed-integer nonlinear programming (MINLP) problem. Furthermore, a model-driven APDD-Net is developed by deeply unfolding the APDD iterations into a layer-wise architecture, where key parameters are learned to reduce the computational complexity and accelerate convergence. Simulation results verify the theoretical findings on the muting gain and demonstrate that the proposed APDD-Net achieves a better tradeoff between communication and sensing performance compared with benchmark schemes.
