Joint Resource Allocation and Configuration Design for STAR-RIS-Enhanced Wireless-Powered MEC
Xintong Qin, Zhengyu Song, Tianwei Hou, Wenjuan Yu, Jun Wang, and Xin, Sun

TL;DR
This paper introduces STAR-RIS into wireless-powered MEC systems, enhancing energy transfer and task offloading by utilizing full-space coverage and new DoFs, with optimized protocols achieving superior computation rates.
Contribution
It proposes a novel STAR-RIS-assisted MEC framework with three operating protocols and develops algorithms to optimize system performance, outperforming traditional RIS.
Findings
STAR-RIS outperforms traditional RIS in efficiency.
The time splitting protocol achieves the highest computation rate.
Optimized algorithms effectively enhance system performance.
Abstract
In this paper, a novel concept called simultaneously transmitting and reflecting RIS (STAR-RIS) is introduced into the wireless-powered mobile edge computing (MEC) systems to improve the efficiency of energy transfer and task offloading. Compared with traditional reflecting-only RIS, STAR-RIS extends the half-space coverage to full-space coverage by simultaneously transmitting and reflecting incident signals, and also provides new degrees-of-freedom (DoFs) for manipulating signal propagation. We aim to maximize the total computation rate of all users, where the energy transfer time, transmit power and CPU frequencies of users, and the configuration design of STAR-RIS are jointly optimized. Considering the characteristics of STAR-RIS, three operating protocols, namely energy splitting (ES), mode switching (MS), and time splitting (TS) are studied, respectively. For the ES protocol, based…
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · IoT and Edge/Fog Computing · Energy Harvesting in Wireless Networks
