IIUM Repository

Coalition formation for throughput enhancement in cognitive radio wireless networks

Tahir, Mohammad and Habaebi, Mohamed Hadi and Islam, Md. Rafiqul (2015) Coalition formation for throughput enhancement in cognitive radio wireless networks. ARPN Journal of Engineering and Applied Sciences, 10 (21). pp. 9675-9681. ISSN 1819-6608

[img] PDF
Restricted to Repository staff only

Download (412kB) | Request a copy

Abstract

Recently there have been numerous studies exploring the benefits of the coalition formation in a cognitive radio network and it has been shown that coalition formation tends to improve the performance of cognitive radio. In this paper we use the concepts from matching theory, specifically we use Gale-Shapley algorithm, to form the coalition among cognitive radio user for collaborative spectrum sensing under target detection probability constraint. In the proposed model we modify Gale-Shapley algorithm for the cognitive radio users to form coalitions of varying size to improve their individual gains (.e.g. throughput and probability of false alarm). We show using simulations that using the modified gale shapely algorithm for coalition formation yields significant gains in term of reduced false alarm probability and increased throughput per cognitive radio user as compared to non-cooperative scenario.

Item Type: Article (Journal)
Additional Information: 6727/46054
Uncontrolled Keywords: cognitive radio, spectrum sensing, distributed algorithms, stable matching, gale shapely algorithm.
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101 Telecommunication. Including telegraphy, radio, radar, television
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User: Dr. Mohamed Hadi Habaebi
Date Deposited: 03 Dec 2015 15:30
Last Modified: 12 Jun 2018 14:39
URI: http://irep.iium.edu.my/id/eprint/46054

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year