在权力域NOMA中对用户进行自适应集群
Yuri P Santos1, Luiz F Q Silveira2
1Center for Research and Innovation in Information Technology, Federal University of Rio Grande do Norte, Natal 59077-080, RN, Brazil.
Sensors (Basel, Switzerland)
|June 10, 2023
概括
本研究介绍了一种用于功率域非直角多重访问 (PD-NOMA) 系统的新集群技术. 基于进化算法的方法有效地管理动态的用户和通道条件,比传统的OMA系统提高了约10%的光谱效率.
科学领域:
- 无线通信网络是无线通信网络.
- 信号处理 信号处理
- 进化算法是一种进化算法.
背景情况:
- 电源域非对角多重接入 (PD-NOMA) 为未来的无线网络提供了潜在的光谱效率增长.
- 有效的PD-NOMA性能依赖于动态用户集群和功率分配策略.
- 现有的解决方案往往忽视了用户数量和道条件的时间变化.
研究的目的:
- 为PD-NOMA系统提出一种新的用户集群技术,以考虑动态网络条件.
- 在现实场景中提高NOMA系统的适应性和效率.
- 评估拟议的集群方法与现有系统的性能.
主要方法:
- 为动态用户集群开发了经过修改的DenStream进化算法.
- 拟议的集群技术与改进的分数策略电力分配 (IFSPA) 进行了评估.
- 在具有有限通道增益差异的具有挑战性的NOMA场景中评估了性能.
主要成果:
- 拟议的集群技术成功地适应了系统动态,有效地集群所有用户.
- 它促进了不同集群的统一传输率.
- 与直角多重访问 (OMA) 相比,观察到大约10%的性能提升.
结论:
- 新的集群方法提高了PD-NOMA系统适应动态环境的适应性.
- 这种方法比OMA显著改进,特别是在具有挑战性的通道条件下.
- 基于进化算法的聚类是未来无线通信网络的一个有希望的技术.
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