A Genetic Algorithm based approach for resource allocation in LTE uplink

Author

da Mata, Saulo Henrique ; Guardieiro, Paulo Roberto

Author_Institution

Fed. Univ. of Uberlandia, Uberlandia, Brazil

fYear

2014

fDate

17-20 Aug. 2014

Firstpage

1

Lastpage

5

Abstract

LTE has become the de facto technology for the 4G networks. It offers unprecedented data transmission and low latency for several types of applications and services. In this paper, we investigate the resource allocation in the LTE uplink, which is widely known as a complex optimization problem. To solve this issue, we present a new scheduling algorithm based on Genetic Algorithms (GA). The proposed algorithm is evaluated using NS-3 in scenarios of video transmission with focus on video chat. The performance of the GA based algorithm is compared with the most relevant algorithms present in the literature. Simulation results show the superiority of the GA based approach to offer better video quality in the scenarios of evaluation.

Keywords

4G mobile communication; Long Term Evolution; genetic algorithms; resource allocation; 4G networks; GA based algorithm; LTE uplink; NS-3; complex optimization problem; data transmission; genetic algorithm based approach; resource allocation; scheduling algorithm; video chat; video quality; video transmission; Biological cells; Delays; Genetic algorithms; Resource management; Scheduling algorithms; Uplink; Video sequences;

fLanguage

English

Publisher

ieee

Conference_Titel

Telecommunications Symposium (ITS), 2014 International

Conference_Location

Sao Paulo

Type

conf

DOI

10.1109/ITS.2014.6947956

Filename

6947956