基于SWIPT的认知双向继电网络的联合电力控制和资源分配,并考虑利率公平性
Chunling Peng1, Guozhong Wang2,3, Huaping Liu4
1School of Electrical and Electronic Engineering, Chongqing University of Technology, Chongqing 400054, China.
Sensors (Basel, Switzerland)
|September 9, 2023
概括
这项研究优化了在认知中继网络中同时进行无线信息和功率传输 (SWIPT) 的功率和资源分配. 拟议的联合电力控制和资源分配 (JPCRA) 计划提高了传输公平性和性能.
科学领域:
- 无线通信网络 无线通信网络
- 能源采集系统 能源采集系统
- 认知无线电技术 认知无线电技术
背景情况:
- 同时无线信息和电力传输 (SWIPT) 使设备能够无线收集能量和接收数据.
- 认知中继网络通过在主要用户下运行来提高频谱效率.
- 优化资源配置对于这些复杂网络的性能至关重要.
研究的目的:
- 在基于SWIPT的认知双向中继网络中解决电源控制和资源分配问题.
- 为了最大限度地提高二级用户的最小传输速率,而不会损害主要网络的性能.
- 为共同优化开发一个高效的算法.
主要方法:
- 制定一个优化问题,以最大限度地提高最低用户率.
- 共同优化功率分配,时间分配和功率分割比率.
- 开发一个低于最佳的联合电力控制和资源分配 (JPCRA) 算法.
- 将非凸问题解为凸子问题,以求代解决方案.
主要成果:
- 拟议的JPCRA计划有效地管理了认知SWIPT网络中的权力和资源.
- 数字结果表明,认知用户之间的传输公平性得到了增强.
- 在性能方面,JPCRA计划的表现优于现有的传统计划.
结论:
- 在认知SWIPT继电网络中,JPCRA算法为电源控制和资源分配提供了高效的解决方案.
- 优化策略成功地平衡了二级网络增强与主要网络保护.
- 这项工作有助于提高未来无线通信系统的效率和公平性.
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