Performance Analysis for RF Energy Harvesting Mobile Edge Computing Networks with SIMO/MISO-NOMA Schemes

Q2 Engineering EAI Endorsed Transactions on Industrial Networks and Intelligent Systems Pub Date : 2021-04-28 DOI:10.4108/EAI.28-4-2021.169425

Dac-Binh Ha, Van-Truong Truong, Yoonill Lee

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引用次数: 9

Abstract

In this paper, we study an RF energy harvesting mobile edge computing network based on a SIMO/MISO system and NOMA schemes over Nakagami-m fading. Specifically, a multi-antenna user harvests RF energy from a power station by using a selection combining/maximal ratio combining scheme and offload its tasks to two MEC servers through downlink NOMA by employing transmit antenna selection/maximal ratio transmission scheme. Accordingly, we investigate the performance of six schemes, namely SC-TAS1, SC-TAS1, MRC-TAS1, MRC-TAS2, SC-MRT, and MRC-MRT, for this considered system. To evaluate the performance, exact closedform expressions of successful computation probability are derived. We further propose the optimal algorithm to find the best parameter sets to achieve the best performance. Moreover, the impacts of the network parameters on the system performance for these schemes are investigated. Finally, the simulation results are also provided to verify the accuracy of our analysis. Received on 29 March 2021; accepted on 19 April 2021; published on 28 April 2021

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基于SIMO/MISO-NOMA方案的射频能量采集移动边缘计算网络性能分析

本文研究了一种基于SIMO/MISO系统和NOMA方案的Nakagami-m衰落下射频能量收集移动边缘计算网络。具体而言，多天线用户采用选择组合/最大比组合方案从电站获取射频能量，并采用发射天线选择/最大比传输方案通过下行NOMA将任务卸载给两台MEC服务器。因此，我们研究了六种方案的性能，即SC-TAS1、SC-TAS1、MRC-TAS1、MRC-TAS2、SC-MRT和MRC-MRT。为了评价性能，导出了计算成功概率的精确封闭表达式。我们进一步提出了最优算法来寻找最佳的参数集，以达到最佳的性能。此外，还研究了网络参数对系统性能的影响。最后给出了仿真结果，验证了分析的准确性。2021年3月29日收到;2021年4月19日接受;于2021年4月28日发布

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