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Genetic Algorithm for Resource Allocation in WiMAX Network

by Wankhede Vishal A., Dr. Gond V.J., Dr. Abhay Wagh, Dr. Upena Dalal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 35 - Number 2
Year of Publication: 2011
Authors: Wankhede Vishal A., Dr. Gond V.J., Dr. Abhay Wagh, Dr. Upena Dalal
10.5120/4374-6037

Wankhede Vishal A., Dr. Gond V.J., Dr. Abhay Wagh, Dr. Upena Dalal . Genetic Algorithm for Resource Allocation in WiMAX Network. International Journal of Computer Applications. 35, 2 ( December 2011), 26-30. DOI=10.5120/4374-6037

@article{ 10.5120/4374-6037,
author = { Wankhede Vishal A., Dr. Gond V.J., Dr. Abhay Wagh, Dr. Upena Dalal },
title = { Genetic Algorithm for Resource Allocation in WiMAX Network },
journal = { International Journal of Computer Applications },
issue_date = { December 2011 },
volume = { 35 },
number = { 2 },
month = { December },
year = { 2011 },
issn = { 0975-8887 },
pages = { 26-30 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume35/number2/4374-6037/ },
doi = { 10.5120/4374-6037 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:21:28.249490+05:30
%A Wankhede Vishal A.
%A Dr. Gond V.J.
%A Dr. Abhay Wagh
%A Dr. Upena Dalal
%T Genetic Algorithm for Resource Allocation in WiMAX Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 35
%N 2
%P 26-30
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
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
  1. Jeffrey G. Andrews, Arunabha Ghosh, Rias Muhamed, “Fundamentals of WiMAX, Understanding Broadband Wireless Networking”, PRENTICE HALL, 2004.
  2. Bo Rong, Yi Quian, Hsiao-Hwa Chen, “Adaptive Power Allocation and Call Admission Control In Multiservice WiMAX Aceess Networks”, IEEE Wireless Communications , February 2007.
  3. Abdel Karim Al Tamimi, Chakchai So-In, Raj Jain, “Modeling and Resource Allocation for Mobile Video over WiMAX Broadband Wireless Networks”, IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL.28, NO.3, April 2010.
  4. Spyros Xergias, Nikos Passas And Apostolis K. Salkintzis,”Centralized Resource Allocation for Multimedia Traffic in IEEE 802.16 Mesh Networks”,PROCEEDINGS OF THE IEEE,Vol.96, No. 1, January 2008.
  5. Wankhede V.A., Jha Rakesh, Upena Dalal,”Resource Allocation Algorithm for WiMAX Systems”, IEEE Symposium on Computers & Informatics, March 2011.
  6. Stephen Boyd, Lieven Vandenberghe, “Convex Optimization”,Cambridge University Press, Revised Edition 2009.
  7. David A Coley, “An Introduction to Genetic Algorithms for Scientists and Engineers”, World Scientific Publishing Co., 1999.
Index Terms

Computer Science
Information Sciences

Keywords

WiMAX Subcarrier Allocation power allocation Genetic Algorithm

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