标题： 基于NOMA的RIS辅助集成感知、通信和功率传输系统的电源分配 显示英文标题

标题： Power Source Allocation for RIS-aided Integrating Sensing, Communication, and Power Transfer Systems Based on NOMA

摘要： 本文提出了一种基于可重构智能表面（RIS）辅助的集成感知、通信和功率传输（ISCPT）通信系统的新型通信系统框架。RIS用于提高传输效率和感知精度。此外，在RIS辅助的ISCPT系统中结合了非正交多址接入（NOMA）技术，以提升RIS辅助的ISCPT系统的频谱利用率。我们考虑了RIS辅助的ISCPT-NOMA系统的功率最小化问题。通过联合优化RIS相位偏移、解码顺序、功率分裂（PS）因子和发射波束成形，同时满足服务质量（QoS）、雷达目标感知精度和能量收集约束条件来实现功率最小化。由于优化问题中的目标函数和约束是非凸的，该问题是一个NP难问题。为了解决这个非凸问题，本文提出了块坐标下降（BCD）算法。具体来说，非凸问题被分为四个子问题：即发射波束成形、RIS相位偏移、解码顺序和PS因子优化子问题。我们采用半定松弛（SDR）和连续凸逼近（SCA）技术来解决发射波束成形优化子问题。随后，我们利用乘子交替方向法（ADMM）算法解决RIS相位偏移优化问题。对于解码顺序优化，我们给出了一个闭式表达。对于PS因子优化问题，提出了SCA算法。仿真结果展示了所提算法的有效性，并突出了在感知、通信和功率传输方面取得的平衡性能。 显示英文摘要

摘要： This paper proposes a novel communication system framework based on a reconfigurable intelligent surface (RIS)-aided integrated sensing, communication, and power transmission (ISCPT) communication system. RIS is used to improve transmission efficiency and sensing accuracy. In addition, non-orthogonal multiple access (NOMA) technology is incorporated in RIS-aided ISCPT systems to boost the spectrum utilization efficiency of RIS-aided ISCPT systems. We consider the power minimization problem of the RIS-aided ISCPT-NOMA system. Power minimization is achieved by jointly optimizing the RIS phase shift, decoding order, power splitting (PS) factor, and transmit beamforming while satisfying quality of service (QoS), radar target sensing accuracy, and energy harvesting constraints. Since the objective function and constraints in the optimization problem are non-convex, the problem is an NP-hard problem. To solve the non-convex problem, this paper proposes a block coordinate descent (BCD) algorithm. Specifically, the non-convex problem is divided into four sub-problems: i.e. the transmit beamforming, RIS phase shift, decoding order and PS factor optimization subproblems. We employ semidefinite relaxation (SDR) and successive convex approximation (SCA) techniques to address the transmit beamforming optimization sub-problem. Subsequently, we leverage the alternating direction method of multipliers (ADMM) algorithm to solve the RIS phase shift optimization problem. As for the decoding order optimization, we provide a closed-form expression. For the PS factor optimization problem, the SCA algorithm is proposed. Simulation results illustrate the effectiveness of our proposed algorithm and highlight the balanced performance achieved across sensing, communication, and power transfer.