用可重构表面增强雷达通信系统，提升遮挡环境下的多目标感知公平性。
ARIS-RSMA Enhanced ISAC System: Joint Rate Splitting and Beamforming Design
- 通过波束成形与速率分割联合优化，提升多目标感知信号质量。
- 在多用户速率与功率约束下，最小回波信干噪比显著提升。
- 适合需要高感知公平性的智能交通、工业传感等场景。
本文提出一种由主动可重构智能表面（ARIS）辅助的速率分割多址（RSMA）集成感知与通信（ISAC）系统，旨在克服遮挡环境中多目标感知的公平性瓶颈。通过联合优化收发端波束成形、ARIS配置及速率分割策略，在满足多用户速率与功率约束条件下，最大化最小多目标回波信干噪比。针对复杂的非凸优化问题，采用块坐标下降法将其分解为三个子问题，并结合主化-最小化（MM）与序列秩一约束松弛（SROCR）算法迭代求解。仿真结果表明，所提方案在性能上优于非正交多址、空分多址及被动RIS基线，接近仅感知系统的理论上限。
原文摘要 · Abstract (English)
This letter proposes an active reconfigurable intelligent surface (ARIS) assisted rate-splitting multiple access (RSMA) integrated sensing and communication (ISAC) system to overcome the fairness bottleneck in multi-target sensing under obstructed line-of-sight environments. Beamforming at the transceiver and ARIS, along with rate splitting, are optimized to maximize the minimum multi-target echo signal-to-interference-plus-noise ratio under multi-user rate and power constraints. The intricate non-convex problem is decoupled into three subproblems and solved iteratively by majorization-minimization (MM) and sequential rank-one constraint relaxation (SROCR) algorithms. Simulations show our scheme outperforms nonorthogonal multiple access, space-division multiple access, and passive RIS baselines, approaching sensing-only upper bounds.
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