A channel selection mechanism based on incumbent appearance expectation for cognitive networks

Kaveh Ghaboosi, Allen B. MacKenzie, Luiz A. DaSilva, Abdallah S. Abdallah, Matti Latva-aho

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Scopus citations

Abstract

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.

Original languageEnglish (US)
Title of host publication2009 IEEE Wireless Communications and Networking Conference, WCNC 2009 - Proceedings
DOIs
StatePublished - Sep 22 2009
Event2009 IEEE Wireless Communications and Networking Conference, WCNC 2009 - Budapest, Hungary
Duration: Apr 5 2009Apr 8 2009

Other

Other2009 IEEE Wireless Communications and Networking Conference, WCNC 2009
CountryHungary
CityBudapest
Period4/5/094/8/09

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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