DocumentCode :
3339703
Title :
Adaptive Channel Searching Scheme for Cooperative Spectrum Sensing in Cognitive Radio Networks
Author :
Guo, Chen ; Peng, Tao ; Qi, Yuan ; Wang, Wenbo
Author_Institution :
Wireless Signal Process. & Network Lab., Beijing Univ. of Posts & Telecommun., Beijing
fYear :
2009
fDate :
5-8 April 2009
Firstpage :
1
Lastpage :
6
Abstract :
The MAC-layer sensing, as a key component of spectrum sensing in cognitive radio, concerns the sensing mechanism design to determine when to sense and access which channel. An important issue of MAC-layer sensing is to find an available channel with a minimized searching delay for the cognitive transmission without any harmful interference. In this paper, we focus on this issue and propose adaptive searching scheme and cluster-based searching scheme to reduce the searching time when channel conditions are various and the cooperative sensing is applied. Moreover, the optimization of these two schemes are also developed in this paper. By adaptive selecting the searching parameters according to the current environment, the average consumed time of channel searching can be minimized, while the searching quality is also satisfied. The simulation results verify the confidence of proposed schemes and show a better searching performance when combining these two schemes.
Keywords :
access protocols; cognitive radio; search problems; wireless channels; MAC-layer sensing; adaptive channel cluster-based searching scheme; cognitive radio network; cooperative spectrum sensing; optimization; search delay minimization; Adaptive signal processing; Cognitive radio; Communications Society; Delay; Interference; Laboratories; Monitoring; Switches; Wireless communication; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Networking Conference, 2009. WCNC 2009. IEEE
Conference_Location :
Budapest
ISSN :
1525-3511
Print_ISBN :
978-1-4244-2947-9
Electronic_ISBN :
1525-3511
Type :
conf
DOI :
10.1109/WCNC.2009.4917558
Filename :
4917558
Link To Document :
بازگشت