Energy Efficient Resource Allocation for Mobile-Edge Computation Networks with NOMA

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Abstract

This paper investigates an uplink non-orthogonal multiple access (NOMA)-based mobile-edge computing (MEC) network. Our objective is to minimize the total energy consumption of all users including transmission energy and local computation energy subject to computation latency and cloud computation capacity constraints. We first prove that the total energy minimization problem is a convex problem, and it is optimal to transmit with maximal time. Then, we accordingly proposed an iterative algorithm with low complexity, where closed-form solutions are obtained in each step. The proposed algorithm is successfully shown to be globally optimal. Numerical results show that the proposed algorithm achieves better performance than the conventional methods.

Original languageEnglish
Title of host publication2018 IEEE Globecom Workshops, GC Wkshps 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538649206
DOIs
Publication statusPublished - 21 Feb 2019
Event2018 IEEE Globecom Workshops, GC Wkshps 2018 - Abu Dhabi, United Arab Emirates
Duration: 9 Dec 201813 Dec 2018

Conference

Conference2018 IEEE Globecom Workshops, GC Wkshps 2018
Country/TerritoryUnited Arab Emirates
CityAbu Dhabi
Period9/12/201813/12/2018

Keywords

  • mobile-edge computing
  • Non-orthogonal multiple access
  • resource allocation

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