NDLI: Feedback-based cooperative primary channel activity estimation for dynamic spectrum access

Content Provider	IEEE Xplore Digital Library
Author	Wenbo Wang Kwasinski, A.
Copyright Year	2010
Description	Author affiliation: Golisano College of Computing & Information Sciences, Rochester Institute of Technology, Rochester, New York 14623, USA (Wenbo Wang; Kwasinski, A.)
Abstract	In dynamic spectrum access networks, spectrum sensing plays a key role in determining the reliability and efficiency of opportunistic spectrum utilization. However, when treating the transmission over a licensed bandwidth as a black box, most energy detection-based sensing methods lack the ability of adapting the sensor to the changes in channel condition. This paper introduces a feedback mechanism into the cooperative sensing framework for estimating the channel SNR and adapting the detector's parameters. The feedback mechanism provides information to local nodes that is used to dynamically control the decision threshold and maintain a stable performance level when channel condition changes. In this framework, the problem of balancing the channel detection opportunity and the interference risk is formulated by an optimization procedure based on a proposed weighted cost function. A queuing model of the primary user activity is employed to predict the channel state and assist grouping the detection samples for estimating the channel characteristics. Such an estimation mechanism requires no complex design and little a priori knowledge of the primary network. Simulation results show that the cooperative scheme improve performance from local decisions and that the introduction of a feedback mechanism results in a notable performance improvement over all schemes.
Starting Page	1
Ending Page	5
File Size	151243
Page Count	5
File Format	PDF
ISBN	9781424481316
e-ISBN	9781424481323
DOI	10.1109/ISABEL.2010.5702794
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-11-07
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fading Channel estimation Estimation Detectors Cognitive radio Signal to noise ratio
Content Type	Text
Resource Type	Article

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