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

Authors

Ali Al-Shuwaili, Newark College of Engineering
Osvaldo Simeone, Newark College of Engineering

Document Type

Article

Publication Date

6-1-2017

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.

Identifier

85028383669 (Scopus)

Publication Title

IEEE Wireless Communications Letters

External Full Text Location

https://doi.org/10.1109/LWC.2017.2696539

e-ISSN

21622345

ISSN

21622337

First Page

398

Last Page

401

Issue

3

Volume

6

Grant

1525629

Fund Ref

National Science Foundation

Recommended Citation

Al-Shuwaili, Ali and Simeone, Osvaldo, "Energy-Efficient Resource Allocation for Mobile Edge Computing-Based Augmented Reality Applications" (2017). Faculty Publications. 9534.
https://digitalcommons.njit.edu/fac_pubs/9534