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