Throughput enhancement in cognitive radio network via coalition formation using matching theory
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 radios. In this paper, we use the concepts from matching theory to form coalitions...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Institute of Electrical and Electronics Engineers, Inc.
2015
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/46414/ http://irep.iium.edu.my/46414/ http://irep.iium.edu.my/46414/ http://irep.iium.edu.my/46414/1/46414_Throughput%20enhancement%20in%20cognitive%20radio%20network%20via%20coalition.pdf http://irep.iium.edu.my/46414/2/46414_Throughput%20enhancement%20in%20cognitive%20radio%20network%20via%20coalition_SCOPUS.pdf |
| Summary: | 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 radios. In this paper,
we use the concepts from matching theory to form coalitions
among cognitive radio users for cooperative spectrum sensing
under target detection probability constraint. In the proposed
model we make use of one sided matching theory to develop
an algorithm for the cognitive radios to form coalitions of
varying size to improve their individual gains (.e.g. throughput
and probability of false alarm). We show using simulations that
the proposed matching 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.
Index Terms—cognitive radio; spectrum sensing; distributed
algorithms; stable matching, matching theory. |
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