DocumentCode :
3612831
Title :
Metaheuristics for the deployment of 5G
Author :
Tsai, Chun-Wei ; Cho, Hsin-Hung ; Shih, Timothy K. ; Pan, Jeng-Shyang ; Rodrigues, Joel J. P. C.
Author_Institution :
National Ilan University
Volume :
22
Issue :
6
fYear :
2015
fDate :
12/1/2015 12:00:00 AM
Firstpage :
40
Lastpage :
46
Abstract :
It is not difficult to anticipate that the system capacity and spectral efficiency of 5G will be greater than those of 4G, and so will the number of network-connected wireless devices. Moreover, the infrastructure of wireless communications today will not meet the requirements of a 5G environment because a large number of traffic flows will be generated between a large number of heterogeneous devices. The deployment strategy is one of the promising solutions to meet the expected demands of 5G. This article begins with a brief review of the deployment problem of wireless communication and a hyperdense deployment problem (HDDP) definition for the requirements of 5G. A simple example for illustrating how a metaheuristic algorithm can be used to solve the HDDP is then given. Finally, some open and possible research issues are discussed to suggest future research trends on this problem.
Keywords :
5G mobile communication; Approximation algorithms; Base stations; Genetic algorithms; Macrocell networks; Software defined radio; Wireless communication;
fLanguage :
English
Journal_Title :
Wireless Communications, IEEE
Publisher :
ieee
ISSN :
1536-1284
Type :
jour
DOI :
10.1109/MWC.2015.7368823
Filename :
7368823
Link To Document :
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