Energy-Efficient Resource Allocation for Mobile Edge Computing-Based Augmented Reality Applications

Ali Al-Shuwaili, Osvaldo Simeone

Research output: Contribution to journalArticlepeer-review

167 Scopus citations

Abstract

Mobile edge computing is a provisioning solution to enable augmented reality (AR) applications on mobile devices. AR mobile applications have inherent collaborative properties in terms of data collection in the uplink, computing at the edge, and data delivery in the downlink. In this letter, these features are leveraged to propose a novel resource allocation approach over both communication and computation resources. The approach, implemented via successive convex approximation, is seen to yield considerable gains in mobile energy consumption as compared to conventional independent offloading across users.

Original languageEnglish (US)
Article number7906521
Pages (from-to)398-401
Number of pages4
JournalIEEE Wireless Communications Letters
Volume6
Issue number3
DOIs
StatePublished - Jun 2017

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Keywords

  • Mobile edge computing
  • augmented reality
  • multicasting
  • resource allocation
  • shared offloading

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