在WPT-MEC系统中,共同优化多设备FDMA的延迟和能耗
Danxia Qiao1,2, Lu Sun1,2, Dianju Li3
1Department of Communication Engineering, Institute of Information Science Technology, Dalian Maritime University, Dalian 116026, China.
Sensors (Basel, Switzerland)
|September 28, 2024
概括
本研究涉及移动边缘计算与无线功率传输 (MEC-WPT) 系统中的"双近距离效应". 它引入了一种新的资源调度模型和IDDPG算法,以优化能源,通信和计算,以提供更好的数据处理服务.
科学领域:
- 计算机工程 计算机工程
- 无线通信无线通信
- 优化算法 优化算法
背景情况:
- 移动边缘计算 (MEC) 和无线电力传输 (WPT) 为最终用户提供了高质量的数据处理.
- 在MEC-WPT系统中",近距离和远距离双重效应"降低了数据处理服务质量,因为基于距离的道增益损失.
- 有效的资源安排对于克服这种影响和确保服务质量至关重要.
研究的目的:
- 设计一个中继协作WPT-MEC资源调度模型,以提高无线能源利用率.
- 在资源限制下,尽量减少正常化的总通信延迟和总能源消耗.
- 解决"近距离和远距离双重效应",并保证高质量的数据处理服务.
主要方法:
- 设计了一个继电协作WPT-MEC资源调度模型.
- 实现了BK-means算法用于终端集群和鱼优化算法 (AWOA) 用于路径规划.
- 为高效的多资源调度提出了一个免疫差异增强深度决定性政策梯度 (IDDPG) 算法.
主要成果:
- 拟议的模型和IDDPG算法有效地管理无线能源,通信和计算资源.
- 聚类和路径规划方法改善了能源接收,减少了能源浪费.
- 模拟结果验证了设计的调度模型和IDDPG算法的有效性.
结论:
- 开发的WPT-MEC资源调度模型和IDDPG算法成功地减轻了"双近和远效应".
- 该系统通过优化多维资源,确保高质量的数据处理服务.
- 这项研究有助于高效可靠的MEC-WPT系统.
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