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Large System Analysis of Downlink MISO-NOMA System via Regularized Zero-Forcing Precoding with Imperfect CSIT
IEEE Communications Letters ( IF 4.1 ) Pub Date : 2020-11-01 , DOI: 10.1109/lcomm.2020.3010422
Jun Zhang , Yongxu Zhu , Shaodan Ma , Xiao Li , Kai-Kit Wong

This letter studies the multiple-input single-output (MISO) non-orthogonal multiple-access (NOMA) downlink using regularized zero-forcing (RZF) precoding with imperfect channel state information (CSI). We first propose a new user scheduling scheme based on imperfect CSI and a model to characterize the channel correlation between the weak and strong users. Then we derive an approximate expression of the ergodic sum-rate using large-system random matrix theory. This approximation permits us to derive the optimal power allocation scheme that satisfies the rate requirement of the weak users. Simulation results are presented to confirm the accuracy of the approximation and reveal the relationships between the ergodic sum-rate, the channel correlation, and other system parameters.

中文翻译:

基于不完善 CSIT 的正则化迫零预编码的下行 MISO-NOMA 系统大系统分析

这封信研究了多输入单输出 (MISO) 非正交多址 (NOMA) 下行链路,使用正则化迫零 (RZF) 预编码和不完善的信道状态信息 (CSI)。我们首先提出了一种基于不完善 CSI 的新用户调度方案和一个表征弱用户和强用户之间信道相关性的模型。然后我们使用大系统随机矩阵理论推导出遍历求和率的近似表达式。这种近似允许我们推导出满足弱用户速率要求的最佳功率分配方案。提供仿真结果以确认近似的准确性并揭示遍历求和率、信道相关性和其他系统参数之间的关系。
更新日期:2020-11-01
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