Intelligent Reflecting Surfaces for Multi-Access Edge Computing in 6G Wireless Networks

Mobasshir Mahbub, R. Shubair
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引用次数: 3

Abstract

Computation offloading in multi-access edge computing (MEC) is an effective paradigm for enabling resource-intensive smart applications. However, when the wireless channel utilized for offloading computing activities is hostile, the proper advantages of MEC may not be completely realized. Intelligent reflecting surface (IRS) is a new technology that has recently attracted significant interest can optimize the wireless transmission environment in a programmable way and improving the connectivity between user equipment (UE) and base station (BS). In this paper, the performance of MEC architecture is analyzed considering both IRS-assisted and without IRS communication scenarios in the context of the urban micro cellular scenarios. The research obtained that the deployment of IRS can reduce the spectrum and energy consumption significantly.
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面向6G无线网络多接入边缘计算的智能反射面
多访问边缘计算(MEC)中的计算卸载是实现资源密集型智能应用的有效范例。然而,当用于卸载计算活动的无线信道是敌对的时,MEC的适当优势可能无法完全实现。智能反射面(IRS)是近年来备受关注的一项新技术,它能够以可编程的方式优化无线传输环境,提高用户设备(UE)与基站(BS)之间的连通性。本文在城市微蜂窝场景下,分析了MEC架构在IRS辅助和无IRS通信场景下的性能。研究表明,部署IRS可以显著降低频谱和能耗。
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