A Channel Selection Mechanism based on Incumbent Appearance Expectation for Cognitive Networks

In this paper, we investigate stochastic multichannel load balancing in a distributed cognitive network coexisting with primary users. In particular, we propose a probabilistic technique for traffic distribution among a set of data channels by incorporating statistical information of primary users&#...

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Bibliographic Details
Published in2009 IEEE Wireless Communications and Networking Conference pp. 1 - 6
Main Authors Ghaboosi, K., MacKenzie, A.B., DaSilva, L.A., Abdallah, A.S., Latva-Aho, M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2009
Subjects
Access protocols
Aggregates
Centralized control
Cognitive radio
Communication system traffic control
Counting circuits
Frequency
Load management
Media Access Protocol
Stochastic processes
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Summary:In this paper, we investigate stochastic multichannel load balancing in a distributed cognitive network coexisting with primary users. In particular, we propose a probabilistic technique for traffic distribution among a set of data channels by incorporating statistical information of primary users' activities in different channels into the selection process without centralized control. Moreover, the proposed scheme is enabled by a multi-channel binary exponential backoff mechanism to further facilitate contention resolution in a multi-channel environment. It is shown through simulations that the proposed MAC layer enhancement outperforms well-known multi-channel MAC protocols both in terms of aggregate end-to-end throughput and average frame end-to-end delay. Furthermore, its performance is also compared to two heuristic channel selection techniques in a multi-channel cognitive network, coexisting with incumbents.
ISBN:9781424429479
1424429471
ISSN:1525-3511
1558-2612
DOI:10.1109/WCNC.2009.4917489