认知无线电
多输入多输出
计算机科学
聚类分析
信道状态信息
发射机功率输出
频道(广播)
干扰(通信)
诺玛
光谱效率
电子工程
计算机网络
无线
电信线路
电信
工程类
发射机
人工智能
作者
Maroua Shili,Moufida Hajjaj,Mohamed Lassaad Ammari
出处
期刊:IEEE Transactions on Vehicular Technology
[Institute of Electrical and Electronics Engineers]
日期:2022-07-01
卷期号:71 (7): 7656-7664
被引量:3
标识
DOI:10.1109/tvt.2022.3171500
摘要
This paper proposes a massive multiple-input multiple-output (MIMO) non-orthogonal multiple access (NOMA) system based on cognitive radio (CR) networks. To reduce the users interference, we propose an efficient user clustering algorithm. Within a cluster, we consider the user with the weak channel gain as a primary user (PU) and the user with the strong channel gain as a secondary user (SU). Given the quality of service for both PUs and SUs, we propose a power allocation (PA) method that maximizes the sum rate. The PA optimization problem is discussed into three scenarios which depend on the available transmit power. Thereafter, we derive a robust solution for the PA issue under imperfect channel state information (CSI) assumptions. Simulation results demonstrate that our proposed NOMA-CR scheme can significantly improve the spectral efficiency (SE). In addition, the proposed robust PA scheme for the imperfect CSI case reduces the performance loss due to the channel uncertainty.
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