在 IRS-mmWave-NOMA B5G 无线网络中实现资源优化的高效算法
Weiqian Liang1, Atef Abdrabou2, Efe Francis Orumwense3
1School of Ocean Information Engineering, Jimei University, Xiamen, Fujian, 361021, China.
Heliyon
|February 9, 2024
概括
本研究介绍了一种新的资源优化技术,用于智能反射表面 (IRS) 毫米波 (mmWave) 非对角多重访问 (NOMA) 系统. 提出的代算法增强了总和率,并减少了计算延迟和NMSE.
科学领域:
- 无线通信系统无线通信系统
- 信号处理 信号处理
- 优化技术 优化技术
背景情况:
- 智能反射表面 (IRS) 增强了毫米波 (mmWave) 系统.
- 非直角多重接入 (NOMA) 提高了光谱效率.
- 在超越5G (B5G) 网络中IRS-mmWave-NOMA的组合需要进一步研究.
研究的目的:
- 为 IRS-mmWave-NOMA B5G 无线网络提出一种新的资源优化技术.
- 解决现有的IRS-mmWave-NOMA系统研究中的性能差距.
- 优化关键参数,包括IRS光束选择,电力分配和解码顺序.
主要方法:
- 开发一种用于资源优化的代算法.
- 纳入关键约束,如IRS光束选择,发射功率分配和解码顺序.
- 通过模拟进行绩效评估.
主要成果:
- 拟议的方法显著改善了总和率.
- 证明了计算延迟和正常化平均平方误差 (NMSE) 的减少.
- 在关键性能指标上表现优于现有的最先进的算法.
结论:
- 开发的代算法提供了一个硬件友好和高效的解决方案.
- 提出的技术验证了IRS在毫米波-NOMA系统中的有效性.
- 这项研究为未来无线网络中先进的资源管理提供了基础.
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