DocumentCode
3072120
Title
OMC-MAC: An Opportunistic Multichannel MAC for Cognitive Radio Networks
Author
Jha, Satish C. ; Rashid, Mohammad M. ; Bhargava, Vijay K. ; Despins, Charles
Author_Institution
Univ. of British Columbia, Vancouver, BC, Canada
fYear
2009
fDate
20-23 Sept. 2009
Firstpage
1
Lastpage
5
Abstract
Cognitive radio (CR) is a recent innovation based on an intelligent radio design paradigm that can vastly improve utilization of valuable radio spectrum. However, successful deployment of CR technology in next generation wireless networks requires many new research challenges to be addressed, especially in the medium access control (MAC) layer. In this paper, we propose a novel MAC design, referred as Opportunistic Multichannel Cognitive MAC (OMC-MAC), for distributed CR networks to address some of these most important design issues. We also develop an analytical framework to study the performance of our proposed protocol in terms of important performance measures. The results achieved from the analytical model and validated by simulation, show that our simple yet efficient design achieves excellent spectrum utilization, shows superb robustness in presence of sensing error and handles multichannel hidden terminal problem very effectively.
Keywords
access protocols; cognitive radio; telecommunication channels; CR technology; OMC-MAC; cognitive radio networks; distributed CR networks; intelligent radio design paradigm; medium access control layer; multichannel hidden terminal problem; next generation wireless networks; opportunistic multichannel cognitive MAC; Access protocols; Analytical models; Chromium; Cognitive radio; Media Access Protocol; Next generation networking; Performance analysis; Robustness; Technological innovation; Wireless networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Vehicular Technology Conference Fall (VTC 2009-Fall), 2009 IEEE 70th
Conference_Location
Anchorage, AK
ISSN
1090-3038
Print_ISBN
978-1-4244-2514-3
Electronic_ISBN
1090-3038
Type
conf
DOI
10.1109/VETECF.2009.5379053
Filename
5379053
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