论文标题
可重新配置的智能表面协助NOMA授权的集成感应和通信
Reconfigurable Intelligent Surface Assisted NOMA Empowered Integrated Sensing and Communication
论文作者
论文摘要
本文利用了可重构智能表面（RIS）在非正交多访问（NOMA）授权的集成感应和通信（NOMA-ISAC）网络中提高雷达传感的潜力。目的是通过共同优化主动波束成形，功率分配系数和被动光束成形来最大化最小雷达梁板增益。为了解决公式的非凸问题，我们通过调用交替优化，连续的凸近似（SCA）和顺序级别的约束松弛（SRCR）算法来提出有效的关节优化算法。数值结果表明，拟议的RIS辅助NOMA-ISAC系统在拟议的方案的帮助下优于没有NOMA的RIS辅助ISAC系统。
This paper exploits the potential of reconfigurable intelligent surface (RIS) to improve radar sensing in a non-orthogonal multiple access (NOMA) empowered integrated sensing and communication (NOMA-ISAC) network. The objective is to maximize the minimum radar beampattern gain by jointly optimizing the active beamforming, power allocation coefficients and passive beamforming. To tackle the formulated non-convex problem, we propose an efficient joint optimization algorithm by invoking alternating optimization, successive convex approximation (SCA) and sequential rank-one constraint relaxation (SRCR) algorithm. Numerical results show that the proposed RIS assisted NOMA-ISAC system, with the aid of proposed scheme, outperforms the RIS assisted ISAC system without NOMA.
