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计算卸载和资源分配用于超密集网络中的能源收获MEC

Dedi Triyanto^1,2, I Wayan Mustika¹, Widyawan¹

¹Department of Electrical Engineering and Information Technology, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia.

Sensors (Basel, Switzerland)

|April 28, 2025

概括

本研究引入了移动边缘计算 (MEC) 的新方法,该方法平衡了公平性和能源效率. LYMOC技术优化了超密集网络中的资源配置,降低了整体系统成本.

科学领域:

计算机科学计算机科学
电气工程电气工程
电信电信服务电信服务电信服务

背景情况:

移动边缘计算 (MEC) 推进了无线网络,但在资源有限的环境中面临着挑战.
能源采集 (EH) 集成通过优化移动设备功耗来提高MEC的可持续性.
结合MEC的超密度网络 (UDN) 对5G超低延迟应用至关重要.

研究的目的:

通过公平和能源效率,提高资源有限的MEC环境中的系统性能.
为解决5G网络的UDN中的计算卸载和资源分配挑战.
优化无线网络中的任务执行效率和用户满意度.

主要方法:

基于Lyapunov混合整数线性编程 (MILP) 的最佳成本 (LYMOC) 技术用于计算卸载和资源分配.
利亚普诺夫漂移加罚方法来解决优化问题.
优化卸载选择和以公平为导向的资源分配的MILP方法.

主要成果:

LYMOC算法显著降低了整体系统执行成本.
以公平为导向的资源分配可以防止密集网络中的服务恶化.
与传统方法相比,提高了整体系统性能和用户满意度.

结论:

拟议的LYMOC技术有效地管理MEC系统中的资源,优先考虑公平性和能源效率.
这种方法提高了网络效率和用户体验,特别是在UDN中.
莱莫克为现有的计算卸载和资源分配方法提供了优质的替代方案.

关键词:

计算卸载卸载计算卸载移动边缘计算移动边缘计算资源分配的资源分配.超密集网络的超密集网络.

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