Work

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

Year: 2025

Type: article

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 letter, 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 (STAR-RIS) in wireless-powered MEC systems.

Source: IEEE Communications Letters

DOI: 10.1109/lcomm.2025.3552901

Authors: Xintong Qin, Wenjuan Yu, Qiang Ni, Zhengyu Song, Tianwei Hou, Xin Sun

Institutions: Beijing Jiaotong University, Lancaster University

Language: English

Topic: Advanced Wireless Communication Technologies

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

Funder: National Natural Science Foundation of China