NDLI: Optimal Cooperative Spectrum Sensing in Interference-Aware Cognitive Radio Networks

Content Provider	Springer Nature Link
Author	Song, Fei Kan, Changju Wu, Qihui Ding, Guoru
Copyright Year	2015
Abstract	In order to protect the primary user from being interfered, most of the related works focus only on the restriction of the missed detection probability, which may cause over-protection of the primary user. Thus the interference probability is defined and the interference-aware sensing model is introduced in this paper. The interference-aware sensing model takes the spatial conditions into consideration, and can further improve the network performance with a good spectrum reuse opportunity. Meanwhile, although the detection performance can be further improved by the cooperative spectrum sensing, it also introduces additional reporting time corresponding to the number of cooperative users (CUs), which may decrease the throughput of the CRN. Motivated by the above, in this paper, we study the throughput tradeoff for interference-aware cognitive radio networks. For cooperative spectrum sensing, the Logic-OR fusion rule is used. By jointly optimizing the sensing time and the number of the CUs, the maximum throughput can be achieved. Theoretical analysis is given to prove the feasibility of the optimization and numerical simulations also show that the maximum throughput can be achieved when the sensing time and the number of the CUs are both optimized.
Starting Page	2171
Ending Page	2184
Page Count	14
File Format	PDF
ISSN	09296212
Journal	Wireless Personal Communications
Volume Number	82
Issue Number	4
e-ISSN	1572834X
Language	English
Publisher	Springer US
Publisher Date	2015-02-03
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Cognitive radio networks Cooperative spectrum sensing Interference-aware Sensing overhead Throughput optimization Communications Engineering, Networks Signal, Image and Speech Processing Computer Communication Networks
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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