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Dynamic weight based Fair Resource Allocation in IEEE 802.16 Broadband Wireless Access Networks

by S. Geetha, R. Jayaparvathy, S. Anand
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 45 - Number 1
Year of Publication: 2012
Authors: S. Geetha, R. Jayaparvathy, S. Anand
10.5120/6742-8660

S. Geetha, R. Jayaparvathy, S. Anand . Dynamic weight based Fair Resource Allocation in IEEE 802.16 Broadband Wireless Access Networks. International Journal of Computer Applications. 45, 1 ( May 2012), 8-13. DOI=10.5120/6742-8660

@article{ 10.5120/6742-8660,
author = { S. Geetha, R. Jayaparvathy, S. Anand },
title = { Dynamic weight based Fair Resource Allocation in IEEE 802.16 Broadband Wireless Access Networks },
journal = { International Journal of Computer Applications },
issue_date = { May 2012 },
volume = { 45 },
number = { 1 },
month = { May },
year = { 2012 },
issn = { 0975-8887 },
pages = { 8-13 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume45/number1/6742-8660/ },
doi = { 10.5120/6742-8660 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:36:29.239779+05:30
%A S. Geetha
%A R. Jayaparvathy
%A S. Anand
%T Dynamic weight based Fair Resource Allocation in IEEE 802.16 Broadband Wireless Access Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 45
%N 1
%P 8-13
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The IEEE 802. 16 Broadband Wireless Access(BWA) system offers a cost-effective solution to the last-mile wireless connection problem. Optimal scheduling mechanisms and resource allocation strategies are required to provide the necessary QoS guarantees to the multimedia traffic in BWA systems while utilizing the resources as efficiently as possible. In this paper, we propose a utility based fractional knapsack framework for bandwidth allocation in IEEE 802. 16e broadband wireless networks with multiple classes of traffic flows. The proposed mechanism also includes dynamic weight adjustment to provide fairness among different competing traffic classes by prioritizing traffic depending on the load conditions and QoS requirements. We study the system performance in terms of normalized throughput and mean delay for each traffic class. From the results we find that the proposed mechanism improves throughput and decreases mean delay for varying traffic load compared to well-known allocation strategies.

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Index Terms

Computer Science
Information Sciences

Keywords

Ieee 802. 16 Utility Dynamic Weight Assignment Quality Of Service Resource Allocation

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