电信线路
计算机科学
吞吐量
正确性
功率控制
选择(遗传算法)
诺玛
功率(物理)
信道状态信息
模式(计算机接口)
频道(广播)
高效能源利用
计算机网络
算法
无线
工程类
电信
人工智能
电气工程
物理
量子力学
操作系统
作者
Anand Jee,Shankar Prakriya
标识
DOI:10.1109/icc45041.2023.10278779
摘要
In this paper, we consider a multi-user downlink non-orthogonal multiple access (NOMA) network comprising of an access point (AP), multiple near-user (NU) nodes and multiple far-user (FU) nodes. The NUs and FUs exist in clusters of size $N$ and F, respectively. Using limited channel state information (CSI) knowledge, intelligent NU and FU selection coupled with mode switching between NOMA and orthogonal multiple access (OMA) is applied to improve the system throughput and energy efficiency. Considering the case of fixed power allocation (FPA) and dynamic power allocation (DPA), closed-form throughput expressions are derived for the first time in literature with mode selection and user selection. It is seen that power allocation with very limited CSI provides huge gains in throughput and saves power at the AP, and thereby increases the energy efficiency. We validate the correctness of analytical results and the superiority of the considered scheme through Monte-Carlo simulations.
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