Movable Antenna-Enhanced Wireless Powered Mobile Edge Computing Systems
Pengcheng Chen, Yuxuan Yang, Bin Lyu, Zhen Yang, and Abbas Jamalipour

TL;DR
This paper introduces a movable antenna scheme for wireless powered mobile edge computing systems, enhancing energy transfer and task offloading efficiency through flexible antenna positioning and joint optimization techniques.
Contribution
It proposes a novel movable antenna deployment strategy with three positioning configurations and joint optimization algorithms to improve system computational rate.
Findings
Movable antennas outperform fixed-position antennas in system performance.
Joint optimization significantly increases the sum computational rate.
Hybrid PSO-VLS algorithm effectively solves the non-convex optimization problems.
Abstract
In this paper, we propose a movable antenna (MA) enhanced scheme for wireless powered mobile edge computing (WP-MEC) system, where the hybrid access point (HAP) equipped with multiple MAs first emits wireless energy to charge wireless devices (WDs), and then receives the offloaded tasks from the WDs for edge computing. The MAs deployed at the HAP enhance the spatial degrees of freedom (DoFs) by flexibly adjusting the positions of MAs within an available region, thereby improving the efficiency of both downlink wireless energy transfer (WPT) and uplink task offloading. To balance the performance enhancement against the implementation intricacy, we further propose three types of MA positioning configurations, i.e., dynamic MA positioning, semi-dynamic MA positioning, and static MA positioning. In addition, the non-linear power conversion of energy harvesting (EH) circuits at the WDs and…
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Taxonomy
TopicsEnergy Harvesting in Wireless Networks · Energy Efficient Wireless Sensor Networks · Opportunistic and Delay-Tolerant Networks
