Yang Qingqing, Zhang Qiuhua, Peng Yi
Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China.
Sensors (Basel). 2024 Jun 4;24(11):3644. doi: 10.3390/s24113644.
This article proposes a distributed intelligent Coordinated Multi-Point Non-Orthogonal Multiple-Access (CoMP-NOMA) collaborative transmission model with the assistance of reconfigurable intelligent surfaces (RISs) to address the issues of poor communication quality, low fairness, and high system power consumption for edge users in multi-cellular networks. By analyzing the interaction mechanisms and influencing factors among RIS signal enhancement, NOMA user scheduling, and multi-point collaborative transmission, the model establishes RIS-enhanced edge user grouping and coordinates NOMA user clusters based on this. In the multi-cell RIS-assisted JT-CoMP NOMA downlink transmission, joint optimization of the power allocation (PA), user clustering (UC), and RIS phase-shift matrix design (PS) poses a challenging Mixed-Integer Non-Linear Programming (MINLP) problem. The original problem is decomposed by optimizing the formulas into joint sub-problems of PA, UC, and PA and PS, and solved using an alternating optimization approach. Simulation results demonstrate that the proposed scheme effectively reduces the system's power consumption while significantly improving the system's throughput and rates.
本文提出了一种在可重构智能表面（RIS）辅助下的分布式智能协作多点非正交多址接入（CoMP-NOMA）协作传输模型，以解决多蜂窝网络中边缘用户通信质量差、公平性低和系统功耗高的问题。通过分析RIS信号增强、NOMA用户调度和多点协作传输之间的相互作用机制和影响因素，该模型建立了RIS增强的边缘用户分组，并在此基础上协调NOMA用户簇。在多小区RIS辅助的联合传输（JT-CoMP）NOMA下行链路传输中，功率分配（PA）、用户聚类（UC）和RIS相移矩阵设计（PS）的联合优化构成了一个具有挑战性的混合整数非线性规划（MINLP）问题。通过对公式进行优化，将原问题分解为PA、UC以及PA和PS的联合子问题，并采用交替优化方法进行求解。仿真结果表明，所提方案有效降低了系统功耗，同时显著提高了系统吞吐量和速率。
