Cost-Effective User Allocation in 5G NOMA-Based Mobile Edge Computing Systems
| Autor: | Mohamed Abdelrazek, Yun Yang, Qiang He, Feifei Chen, John Hosking, John Grundy, Phu Lai, Guangming Cui |
|---|---|
| Rok vydání: | 2022 |
| Předmět: |
Mobile edge computing
Computer Networks and Communications Computer science business.industry 020206 networking & telecommunications 02 engineering and technology Transmitter power output medicine.disease Noma Base station Server Telecommunications link 0202 electrical engineering electronic engineering information engineering medicine Enhanced Data Rates for GSM Evolution Electrical and Electronic Engineering business Software 5G Computer network |
| Zdroj: | IEEE Transactions on Mobile Computing. 21:4263-4278 |
| ISSN: | 2161-9875 1536-1233 |
| DOI: | 10.1109/tmc.2021.3077470 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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