NDLI: Cluster-Based Cooperative Spectrum Sensing Assignment Strategy in Cognitive Radio Networks

Content Provider	IEEE Xplore Digital Library
Author	Wenjie Zhang Yiqun Yang Chai Kiat Yeo Lei Deng
Copyright Year	2014
Description	Author affiliation: Nanyang Technol. Univ., Singapore, Singapore (Wenjie Zhang; Yiqun Yang; Chai Kiat Yeo) \|\| Chinese Univ. of HongKong, Hong Kong, China (Lei Deng)
Abstract	Cognitive radio is proposed as an efficient way to address the issue of spectrum shortage and under- utilization, in which cooperative spectrum sensing (CSS) is used to enhance the sensing performance. One of the most fundamental problems of CSS is: how to appropriately assign the secondary users (SUs) to sense the primary user (PU) channels? In this paper, We study the CSS problem under a more practical scenario where taking the heterogeneous characteristics of both SUs and PU channels into consideration. With the objective to maximize the achievable throughput for SUs, we propose a cluster- based CSS to obtain a proper assignment policy, in which all the cluster members cooperative in sensing the same channels, moreover, the CSS problem is formulated as a Maximum Weight One-Sided Biclique Problem, and a greedy heuristic algorithm is proposed to find the suboptimal assignment policy. To evaluate the tradeoff between sensing accuracy and spectrum opportunity, the simulation is conducted between the number of sensed channels and the achievable throughput.
Starting Page	1
Ending Page	5
File Size	230007
Page Count	5
File Format	PDF
ISBN	9781479944491
DOI	10.1109/VTCFall.2014.6965907
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-09-14
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sensors Cascading style sheets Throughput Cognitive radio Clustering algorithms Bipartite graph Wireless sensor networks
Content Type	Text
Resource Type	Article

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