Joint Radio and Computation Resource Management for Low Latency Mobile Edge Computing

Research output: Contribution to journalConference articlepeer-review

19 Scopus citations

Abstract

Mobile edge computing (MEC) is a new networking paradigm that enables low-latency computation offloading for compute-intensive mobile applications. The dynamic wireless channel, non-uniform spatiotemporal traffic, and limited computation resources impair the service latency of mobile edge computing. Therefore, jointly managing radio and computation resources is needed to achieve low latency MEC. In this paper, we propose a joint radio and computation resource management (iRAR) algorithm which minimizes users' service latency by optimizing the uplink transmission power, receive beamforming, computation task assignment, and computation resource allocation. We compare the performance of the proposed algorithm with three different algorithms and demonstrate that the iRAR algorithm reduces up to 52% average service latency as compared to the other algorithms.

Original languageEnglish (US)
Article number8647792
JournalProceedings - IEEE Global Communications Conference, GLOBECOM
DOIs
StatePublished - 2018
Event2018 IEEE Global Communications Conference, GLOBECOM 2018 - Abu Dhabi, United Arab Emirates
Duration: Dec 9 2018Dec 13 2018

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing

Keywords

  • beamfoming
  • computation offloading
  • Mobile edge computing
  • task assignment

Fingerprint

Dive into the research topics of 'Joint Radio and Computation Resource Management for Low Latency Mobile Edge Computing'. Together they form a unique fingerprint.

Cite this