Intelligent Reflecting Surface Meets Mobile Edge Computing: Enhancing Wireless Communications for Computation Offloading
Yang Liu, Jun Zhao, Zehui Xiong, Dusit Niyato, Chau Yuen, Cunhua Pan,, Binbin Huang

TL;DR
This paper explores the integration of intelligent reflecting surfaces (IRS) with mobile edge computing to improve wireless communication efficiency and optimize computation offloading, balancing time, energy, and revenue.
Contribution
It introduces a novel optimization framework for IRS-assisted edge computing, addressing a complex nonconvex problem with an iterative feasibility check and an optimization algorithm.
Findings
IRS improves information rates for mobile devices.
Edge server earnings increase with IRS deployment.
Enhanced offloading efficiency in IRS-aided networks.
Abstract
We consider computation offloading for edge computing in a wireless network equipped with intelligent reflecting surfaces (IRSs). IRS is an emerging technology and has recently received great attention since they can improve the wireless propagation environment in a configurable manner and enhance the connections between mobile devices (MDs) and access points (APs). At this point not many papers consider edge computing in the novel context of wireless communications aided by IRS. In our studied setting, each MD offloads computation tasks to the edge server located at the AP to reduce the associated comprehensive cost, which is a weighted sum of time and energy. The edge server adjusts the IRS to maximize its earning while maintaining MDs' incentives for offloading and guaranteeing each MD a customized information rate. This problem can be formulated into a difficult optimization…
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · IoT and Edge/Fog Computing · IoT Networks and Protocols
