Optimal task assignment and power allocation for downlink NOMA MEC networks

Fang Fang, Kaidi Wang, Zhiguo Ding

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

The application of downlink non-orthogonal multiple access (NOMA) in multi-access edge computing (MEC) systems can significantly improve the spectrum efficiency and reduce the delay. In this paper, we investigate the optimal resource allocation to minimize the energy consumption in downlink NOMA MEC networks. The formulated problem is nonconvex. A bilevel programming method is proposed to obtain the optimal solution. By exploiting the monotonicity and convexity properties of subproblems, the optimal closed-form expressions of offloading task ratios and offloading power are derived to achieve the minimum energy consumption in the downlink NOMA MEC network. Moreover, the analysis of the optimal solution indicates different offloading schemes, i.e. pure NOMA and OMA, which are determined by the energy consumption efficiency (ECE) of offloading phase and computing phase at the MEC servers. Simulations demonstrate the optimality and low complexity of the proposed scheme.

Original languageBritish English
Title of host publication2019 IEEE Globecom Workshops, GC Wkshps 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728109602
DOIs
StatePublished - Dec 2019
Event2019 IEEE Globecom Workshops, GC Wkshps 2019 - Waikoloa, United States
Duration: 9 Dec 201913 Dec 2019

Publication series

Name2019 IEEE Globecom Workshops, GC Wkshps 2019 - Proceedings

Conference

Conference2019 IEEE Globecom Workshops, GC Wkshps 2019
Country/TerritoryUnited States
CityWaikoloa
Period9/12/1913/12/19

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