论文标题

6G网络中多访问边缘计算的IRS

IRS for Multi-Access Edge Computing in 6G Networks

论文作者

Mahbub, Mobasshir, Shubair, Raed M.

论文摘要

多访问边缘计算(MEC)中的计算卸载是启用资源密集型智能应用程序的有效范式。但是,当用于卸载计算活动的无线通道是敌对的时,可能无法完全实现MEC的适当优势。智能反射表面(IRS)是一项新技术,最近引起了重大兴趣,可以以可编程的方式优化无线传输环境,并改善用户设备(UE)和基站(BS)之间的连通性。在本文中,在城市微型蜂窝场景的背景下,考虑了IRS辅助且没有IRS的通信方案,对MEC体系结构的性能进行了分析。该研究获得的,IRS的部署可以大大减少频谱和能源消耗。

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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