Title :
Cognitive radio based spectrum sharing: Evaluating channel availability via traffic pattern prediction
Author :
Li, Xiukui ; Zekavat, Seyed A.
Author_Institution :
Department of Electrical and Computer Engineering Michigan Technological University
fDate :
4/1/2009 12:00:00 AM
Abstract :
In this paper, a technique is proposed that enables secondary users to evaluate channel availability in cognitive radio networks. Here, secondary users estimate the utilization of channels via predicting the traffic pattern of primary user, and select a proper channel for radio transmission. The proposed technique reduces the channel switching rate of secondary users (the rate of switching from one channel to another) and the interference on primary users, while maintaining a reasonable call blocking rate of secondary users.
Keywords :
Availability; Channel estimation; Cognitive radio; Market research; Prediction algorithms; Switches; Yttrium; Cognitive radio; opportunistic channel utilization; spectrum sharing; traffic pattern prediction;
Journal_Title :
Communications and Networks, Journal of
DOI :
10.1109/JCN.2009.6391385