Genetic algorithm based cross-layer resource allocation for wireless OFDM networks with heterogeneous traffic

Author

Nan Zhou ; Xu Zhu ; Yi Huang

Author_Institution

Dept. of Electr. Eng. & Electron., Univ. of Liverpool, Liverpool, UK

fYear

2009

fDate

24-28 Aug. 2009

Firstpage

1656

Lastpage

1659

Abstract

We propose the genetic algorithm (GA) based cross-layer resource allocation for the downlink multiuser wireless orthogonal frequency division multiplexing (OFDM) system with heterogeneous traffic. The GA is used to maximize the sum of weighted capacities of multiple traffic queues at the physical (PHY) layer, where the weights are determined by the medium access control (MAC) layer. Simulation results demonstrate that the GA significantly outperforms the existing algorithm in terms of the system bandwidth efficiency, best-effort (BE) traffic throughput and quality of service (QoS) traffic delay.

Keywords

OFDM modulation; genetic algorithms; quality of service; queueing theory; radio networks; resource allocation; telecommunication traffic; BE traffic throughput; GA; MAC layer; PHY layer; QoS; best-effort traffic throughput; cross-layer resource allocation; downlink multiuser wireless orthogonal frequency division multiplexing system; genetic algorithm; heterogeneous traffic; medium access control layer; multiple traffic queues; physical layer; quality of service traffic delay; system bandwidth efficiency; weighted capacity; wireless OFDM networks; Abstracts; Quality of service; Resource management;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Conference, 2009 17th European

Conference_Location

Glasgow

Print_ISBN

978-161-7388-76-7

Type

conf

Filename

7077608