Research Article
Performance Analysis of RF Energy Harvesting Mobile Edge Computing Network Using NOMA Scheme with Dual Access Points
@INPROCEEDINGS{10.1007/978-3-031-47359-3_6, author={Minh-Thong Vo and Thanh-Nam Nguyen and Van-Truong Truong and Dac-Binh Ha}, title={Performance Analysis of RF Energy Harvesting Mobile Edge Computing Network Using NOMA Scheme with Dual Access Points}, proceedings={Industrial Networks and Intelligent Systems. 9th EAI International Conference, INISCOM 2023, Ho Chi Minh City, Vietnam, August 2-3, 2023, Proceedings}, proceedings_a={INISCOM}, year={2023}, month={10}, keywords={mobile edge computing non-orthogonal multiple access uplink NOMA successful computation probability multiple devices}, doi={10.1007/978-3-031-47359-3_6} }- Minh-Thong Vo
Thanh-Nam Nguyen
Van-Truong Truong
Dac-Binh Ha
Year: 2023
Performance Analysis of RF Energy Harvesting Mobile Edge Computing Network Using NOMA Scheme with Dual Access Points
INISCOM
Springer
DOI: 10.1007/978-3-031-47359-3_6
Abstract
Mobile edge computing (MEC) is an emerging cloud computing trend that enables terminal users with limited computing ability to offload their tasks to the edge servers. In this paper, we study the performance of the MEC system using non-orthogonal multiple access (NOMA) and radio frequency energy harvesting techniques (RF EH). Specifically, a user harvests energy from a hybrid access point (HAP) and offloads tasks to the edge servers using the NOMA scheme over wireless channels. The protocol, specifically NOMA-MEC, is proposed for this considered system, and the closed-form expression of successful computation probability (SCP) is derived to evaluate the system performance. In addition, an OMA-based reference protocol, namely OMA-MEC, was used to compare with the proposed solution. The numerical results show the superior performance of NOMA-MEC over OMA-MEC in terms of SCP. Furthermore, system behaviors were clarified by investigating SCP using Monte-Carlo simulation through critical parameters such as time switching ratio, power allocation coefficient, task length, and transmit power.
