JOURNAL ARTICLE

Joint Resource Allocation and Offloading Decision in Mobile Edge Computing

Ata KhaliliSheyda ZarandiMehdi Rasti

Year: 2019 Journal:   IEEE Communications Letters Vol: 23 (4)Pages: 684-687   Publisher: IEEE Communications Society

Abstract

In this letter, we investigate joint radio resource allocation and edge offloading decision optimization in a multi-cell orthogonal frequency-division multiple access cellular network in order to minimize system's energy consumption. The discrete subchannel allocation and offloading decision variables as well as the interference incorporated in the data rate function make the stated optimization problem a mixed integer non-linear programming. To address this problem and obtain a locally optimal solution, we use the variable relaxation and majorization minimization method. Via simulation results, we demonstrate that our proposed solution results in a considerable reduction of system's power consumption.

Keywords:
Computer science Orthogonal frequency-division multiple access Resource allocation Mathematical optimization Optimization problem Relaxation (psychology) Linear programming Integer programming Cellular network Enhanced Data Rates for GSM Evolution Resource management (computing) Orthogonal frequency-division multiplexing Distributed computing Computer network Algorithm Mathematics Telecommunications

Metrics

76
Cited By
11.07
FWCI (Field Weighted Citation Impact)
12
Refs
0.98
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

IoT and Edge/Fog Computing
Physical Sciences →  Computer Science →  Computer Networks and Communications
Age of Information Optimization
Physical Sciences →  Computer Science →  Computer Networks and Communications
IoT Networks and Protocols
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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