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

Ha, Dac-Binh and Truong, Van-Truong and Lee, Yoonill (2021) Performance Analysis for RF Energy Harvesting Mobile Edge Computing Networks with SIMO/MISO-NOMA Schemes. EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, 8 (27). e2. ISSN 2410-0218

[thumbnail of eai.28-4-2021.169425.pdf]
Available under License Creative Commons Attribution No Derivatives.

Download (8MB) | Preview


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 closed-form 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.

Item Type: Article
Uncontrolled Keywords: radio frequency energy harvesting, mobile edge computing, non-orthogonal multiple access, Nakagami-m fading, multi-antenna
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
T Technology > T Technology (General)
Depositing User: EAI Editor IV
Date Deposited: 09 Jul 2021 08:29
Last Modified: 09 Jul 2021 08:29

Actions (login required)

View Item
View Item