Joint Resource Allocation and Beamforming Design for BD-RIS-Assisted Wireless-Powered Cooperative Mobile Edge Computing

Qin, Xintong and Yu, Wenjuan and Ni, Qiang and Song, Zhengyu and Hou, Tianwei and Sun, Xin (2025) Joint Resource Allocation and Beamforming Design for BD-RIS-Assisted Wireless-Powered Cooperative Mobile Edge Computing. IEEE Communications Letters. ISSN 1089-7798

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Abstract

The wireless-powered mobile edge computing (MEC) has emerged as a promising technique to provide energy supplies and computing services for users in Internet of Things (IoT). However, the limited computational resources and poor channel conditions in traditional wireless-powered MEC systems hinder their ability to meet growing user demands. In this paper, we propose a novel beyond-diagonal reconfigurable intelligent surface (BD-RIS) assisted wireless-powered cooperative MEC model to address these challenges. To maximize the total number of completed task bits, we develop a joint resource allocation and beamforming algorithm based on the penalty and Riemannian trust-region methods to jointly optimize the energy transfer time, transmit power, CPU frequencies of users, bandwidth allocation, and the beamforming of BD-RIS. Simulation results demonstrate that the proposed cooperative computing model significantly improves the total number of completed task bits and highlights the superiority of fully-connected BD-RIS over RIS and simultaneous transmission and reflection RIS (STARRIS) in wireless-powered MEC systems.