DocumentCode :
3082401
Title :
Joint Channel Selection and Opportunistic Forwarding in Multi-Hop Cognitive Radio Networks
Author :
Liu, Yongkang ; Cai, Lin X. ; Shen, Xuemin
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
fYear :
2011
fDate :
5-9 Dec. 2011
Firstpage :
1
Lastpage :
5
Abstract :
The performance of opportunistic forwarding in the multi-hop cognitive radio networks (CRN) is dependent on the efficient detection of spectrum opportunities and the diversity of relay links. To find appropriate spectrum opportunities, effective spectrum sensing is essential in a CRN, especially under highly dynamic channel conditions. In this paper, a novel channel metric is proposed to determine the sensing sequence at the node based on its history channel observations. This metric is then applied in the design of node residence strategy for relay nodes over the channels. Each node distributively calculates the metric and determines the sensing and residence channel to exploit better spectrum opportunities for packet forwarding. By allowing relay nodes to aggregate in the channel with better transmission opportunity, a larger multi-user diversity gain can be exploited and a lower access delay can be achieved. Simulation results demonstrate that the proposed approach well adapts to the channel dynamics and outperforms other solutions, especially in a CRN with low node density.
Keywords :
channel estimation; cognitive radio; diversity reception; multiuser channels; packet radio networks; radio links; radio spectrum management; CRN; channel metric; channel selection; cognitive radio networks; multiuser diversity reception; node residence strategy; opportunistic packet forwarding; relay links; relay nodes; residence channel; spectrum opportunities detection; spectrum sensing; Channel estimation; Delay; Optical character recognition software; Peer to peer computing; Relays; Sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference (GLOBECOM 2011), 2011 IEEE
Conference_Location :
Houston, TX, USA
ISSN :
1930-529X
Print_ISBN :
978-1-4244-9266-4
Electronic_ISBN :
1930-529X
Type :
conf
DOI :
10.1109/GLOCOM.2011.6134270
Filename :
6134270
Link To Document :
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