当前位置: X-MOL 学术Phys. Commun. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Performance analysis for IRS-assisted MEC networks with unit selection
Physical Communication ( IF 2.0 ) Pub Date : 2022-08-28 , DOI: 10.1016/j.phycom.2022.101869
Jinrong Lu , Shiwei Lai , Junjuan Xia , Maobin Tang , Chengyuan Fan , Jiangtao Ou , Dahua Fan

In this paper, we investigate the outage performance of the intelligent reflecting surface (IRS)-assisted mobile edge computing (MEC) network, with a single user, a single computational access point (CAP), and a single IRS of N units, where the direct user-CAP link has been disabled. Based on the IRS-assisted MEC networks, we first define the outage probability (OutP) and propose two different IRS unit selection criteria to improve the outage performance. Moreover, according to the two IRS selection criteria, we derive the corresponding exact analytical expression and asymptotic expression, respectively, to analyze the outage performance and obtain some insights on the MEC network. In further, we adjust the deployment of the IRS location to optimize the system outage performance. Finally, simulation results show the effectiveness of the analysis and demonstrate the proposed optimization method of the IRS location.



中文翻译:

具有单元选择的 IRS 辅助 MEC 网络的性能分析

在本文中,我们研究了智能反射面 (IRS) 辅助移动边缘计算 (MEC) 网络的中断性能,该网络具有单个用户、单个计算接入点 (CAP) 和单个 IRSñ单位,其中直接用户 CAP 链接已被禁用。基于 IRS 辅助的 MEC 网络,我们首先定义了中断概率 (OutP),并提出了两种不同的 IRS 单元选择标准来提高中断性能。此外,根据两个IRS选择标准,我们分别推导出了相应的精确解析表达式和渐近表达式,以分析中断性能并获得对MEC网络的一些见解。此外,我们调整 IRS 位置的部署以优化系统中断性能。最后,仿真结果表明了分析的有效性,并证明了所提出的 IRS 位置优化方法。

更新日期:2022-08-28
down
wechat
bug