诺玛
计算机科学
电信线路
最优化问题
凸优化
资源配置
高效能源利用
服务质量
传输(电信)
光谱效率
分布式计算
数学优化
计算机网络
频道(广播)
电信
工程类
算法
正多边形
数学
电气工程
几何学
作者
Mingjiang Wu,Xianfu Lei,Xiangyun Zhou,Xiaohu Tang,Octavia A. Dobre
标识
DOI:10.1109/tcomm.2023.3241355
摘要
Reconfigurable intelligent surface (RIS) is able to create favorable reflecting channels for different users and piggyback additional data in the reflected signals. The former brings benefits to non-orthogonal multiple access (NOMA), while the latter enables a mechanism of symbiotic radio (SR). Inspired by these unique advantages, we consider a general SR-NOMA system model where an RIS is deployed to assist both the NOMA in an uplink multi-channel system and the Internet-of-Things (IoT) data transmission. This general model also allows for different performance objectives from the NOMA users. In particular, the users can be either energy-efficiency oriented or spectrum-efficiency oriented. To strike the performance trade-off between these two types of users, a performance metric called resource efficiency (RE) is leveraged to formulate the optimization problem. We jointly design the time-frequency resource allocation, multi-user power control and RIS phase shifts to maximize the weighted sum-RE of the system, subject to the quality-of-service constraints of the SR-NOMA system. An efficient alternating optimization framework with a series of algorithms, including matching theory, fractional programming method, and inner majorization-minimization method, is developed to solve this highly complex and non-convex problem.
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