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Cost-Effective User Allocation in 5G NOMA-based Mobile Edge Computing Systems

journal contribution
posted on 2021-05-04, 00:00 authored by Phu Lai, Qiang He, Guangming Cui, Feifei ChenFeifei Chen, John Grundy, Mohamed AbdelrazekMohamed Abdelrazek, John G Hosking, Yun Yang
Mobile edge computing (MEC) allows edge servers to be placed at cellular base stations. App vendors like Uber and YouTube can rent computing resources and deploy latency-sensitive applications on edge servers for their users to access. Non-orthogonal multiple access (NOMA) is an emerging technique that facilitates the massive connectivity of 5G networks, further enhancing the capability of MEC. The edge user allocation (EUA) problem faces new challenges in 5G NOMA-based MEC systems. In this study, we investigate the EUA problem in a multi-cell multi-channel downlink power-domain NOMA-based MEC system. The main objective is to help mobile app vendors maximize their benefit by allocating maximum users to edge servers in a specific area at the lowest computing resource and transmit power costs. To this end, we introduce a decentralized game-theoretic approach to effectively select a channel and edge server for each user while fulfilling their resource and data rate requirements. We theoretically and experimentally evaluate our solution, which significantly outperforms various state-of-the-art and baseline approaches.

History

Journal

IEEE Transactions on Mobile Computing

Pagination

1-16

Location

Piscataway, N.J.

ISSN

1536-1233

eISSN

2161-9875

Language

eng

Publication classification

C1 Refereed article in a scholarly journal

Publisher

IEEE