Xintong Qin;Wenjuan Yu;Qiang Ni;Zhengyu Song;Tianwei Hou;Xin Sun
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引用次数: 0
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.
期刊介绍:
The IEEE Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of communication over different media and channels including wire, underground, waveguide, optical fiber, and storage channels. Both theoretical contributions (including new techniques, concepts, and analyses) and practical contributions (including system experiments and prototypes, and new applications) are encouraged. This journal focuses on the physical layer and the link layer of communication systems.