对于IRS辅助的SWIPT-MEC系统的能源最小化.
Shuai Zhang1, Yujun Zhu1, Meng Mei2
1School of Computer and Information, Anhui Normal University, Wuhu 241002, China.
Sensors (Basel, Switzerland)
|September 14, 2024
概括
本研究介绍了智能反射表面 (IRS),通过优化计算卸载和无线电力传输来提高物联网 (IoT) 设备的能源效率. 拟议的系统可显著降低物联网设备的能源消耗.
科学领域:
- 无线通信无线通信
- 物联网 (IoT) 的物联网 (IoT) 的物联网.
- 边缘计算 边缘计算
背景情况:
- 物联网设备面临电池和计算限制.
- 同时无线信息和电力传输 (SWIPT) 和移动边缘计算 (MEC) 提供解决方案.
- 无线通道色和障碍物阻碍了性能.
研究的目的:
- 通过智能反射表面 (IRS) 提高无线网络的光谱和能源效率.
- 提出一个系统模型,用于IRS辅助的上下链路计算卸载和同时进行能量传输.
- 在各种系统约束下,尽量减少物联网设备的能源消耗.
主要方法:
- 联合优化CPU频率,传输功率,计算工作负载,功率分割 (PS) 比率和IRS相位移.
- 开发一个交替优化 (AO) 代算法.
- 应用封闭式溶液,基于丁克尔巴赫的拉格朗日双法和半确定的放松 (SDR).
主要成果:
- 为了最大限度地降低能源消耗,制定了一个多变量合的非线性问题.
- 拟议的AO算法有效优化了系统参数.
- 与现有策略相比,模拟结果显示能耗降低.
结论:
- 通过IRS辅助的系统可以显著提高物联网设备的能源效率.
- 提议的优化框架有效地解决了复杂的系统约束.
- 这种方法为可持续的物联网部署提供了可行的解决方案.
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