Genetic Algorithm for Resource Allocation in WiMAX Network
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10.5120/4374-6037 |
Wankhede Vishal A., Dr. Gond V.J., Dr. Abhay Wagh and Dr. Upena Dalal. Article: Genetic Algorithm for Resource Allocation in WiMAX Network. International Journal of Computer Applications 35(2):26-30, December 2011. Full text available. BibTeX
@article{key:article,
author = {Wankhede Vishal A. and Dr. Gond V.J. and Dr. Abhay Wagh and Dr. Upena Dalal},
title = {Article: Genetic Algorithm for Resource Allocation in WiMAX Network},
journal = {International Journal of Computer Applications},
year = {2011},
volume = {35},
number = {2},
pages = {26-30},
month = {December},
note = {Full text available}
}
Abstract
WiMAX offer a very demanding multiuser communication problem. To make resource allocation more practical, in mobile WiMAX subchannelization is used. The Resource Allocation is usually formulated as a constrained optimization problem for either fixed-rate applications such as voice or for variable rate applications such as data. In this paper we address Genetic Algorithm for Resource Allocation in downlink Mobile WiMAX networks. Objective of proposed algorithm is to optimize total throughput. Simulation results show that Genetic Algorithm performs better than methods proposed in [5] in terms of higher capacities.
References
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