Energy-Efficient Online Scheduling for Wireless Powered Mobile Edge Computing Networks
Xingqiu He, Chaoqun You, Yuzhi Yang, Zihan Chen, Yuhang Shen, Tony Q. S. Quek, Yue Gao

TL;DR
This paper proposes an energy-efficient online scheduling algorithm for Wireless Powered Mobile Edge Computing networks, balancing resource allocation between wireless power transfer and computation offloading to optimize energy use and latency.
Contribution
It introduces a Lyapunov optimization-based framework with a relax-then-adjust approach for efficient, real-time scheduling in WPMEC systems with theoretical performance guarantees.
Findings
Effective energy-latency trade-off achieved
Algorithm demonstrates robustness in simulations
Reduces computational complexity of scheduling
Abstract
Wireless Powered Mobile Edge Computing (WP-MEC) integrates mobile edge computing (MEC) with wireless power transfer (WPT) to simultaneously extend the operational lifetime and enhance the computational capability of wireless devices (WDs). In WPMEC systems, WPT and computation offloading compete for limited wireless resources, which makes their joint scheduling particularly challenging. In this paper, we investigate the energy-efficient online scheduling problem for WPMEC networks with multiple WDs and multiple access points (APs). Based on Lyapunov optimization, we develop an online optimization framework that transforms the original stochastic problem into deterministic per-slot optimization problems. To reduce computational complexity, we introduce the concept of marginal energy efficiency and derive an associated optimality condition, based on which a relax-then-adjust approach is…
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Taxonomy
TopicsIoT and Edge/Fog Computing · Age of Information Optimization · IoT Networks and Protocols
