Paper Info
Title
Computation offloading balance in small cell networks with mobile edge computing
Abstract
As a promising way to offset the low computation capacity of user equipments (UEs), mobile edge computing (MEC) has attracted great attention of academy and industrial recently. By deploying MEC servers in small cell networks, the communication rate and computation speed could be enhanced efficiently. However, due to the different computation capability of various small cell base stations, micro base stations and UEs, the computation offloading balance becomes a challenging problem. Furthermore, the wireless channel condition and transmission delay also take important roles in the computation offload. In this paper, we jointly consider the spectrum allocation and computation offload selection to achieve desired balance in small cell networks with MEC. In this process, we formulate the spectrum allocation factor, computation offloading decision and UEs’ transmission power as an optimization problem with the objective of minimizing the energy consumption and the constraints of each UE’s latency. Then, we propose a two-step solution algorithm to solve the formulated problem. Finally, simulation results are presented to show the effectiveness of the proposed scheme in the performance of energy consumption, latency, computation offloading ratio and convergence.
Year
DOI
Venue
2019
10.1007/s11276-018-1735-y
Wireless Networks
Keywords
Field
DocType
Small cell networks, Mobile edge computing, Spectrum allocation, Computation offloading
Base station,Computer science,Server,Computer network,Computation offloading,Mobile edge computing,Small cell,Frequency allocation,Energy consumption,Computation,Distributed computing
Journal
Volume
Issue
ISSN
25
7
1572-8196
Citations 
PageRank 
References 
0
0.34
34
Authors
4
Name
Order
Citations
PageRank
Lei Chen1152.23
Xi Li226025.52
Hong Ji381578.32
Victor C. M. Leung49717759.02