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

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 f...

Full description

Saved in:
Bibliographic Details
Published inIEEE wireless communications letters Vol. 6; no. 3; pp. 398 - 401
Main Authors Al-Shuwaili, Ali, Simeone, Osvaldo
Format Journal Article
LanguageEnglish
Published IEEE 01.06.2017
Subjects
augmented reality
Downlink
Energy consumption
Mobile communication
Mobile edge computing
Mobile handsets
multicasting
Optimization
resource allocation
Resource management
shared offloading
Uplink
Online AccessGet full text

Cover

More Information
Summary: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.
ISSN:2162-2337
2162-2345
DOI:10.1109/LWC.2017.2696539