An efficient cooperative sensing scheme with bandwidth-limited control channel

doi:10.1007/s11460-010-0111-1

Front Elect Electr Eng Chin

2010, Vol. 5

Issue (4) : 456-463 https://doi.org/10.1007/s11460-010-0111-1

RESEARCH ARTICLE

An efficient cooperative sensing scheme with bandwidth-limited control channel

Guizhu FENG, Wei CHEN, Zhigang CAO(

)

Tsinghua National Laboratory for Information Science and Technology (TNList), State Key Laboratory on Microwave and Digital Communications, Department of Electronic Engineering, Tsinghua University, Beijing 100084, China

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Abstract

The conflict between scarcity of spectrum resources and low spectrum utilization motivates the concept of cognitive radio, which allows secondary unlicensed users to borrow temporally unused spectrum bands from primary licensed users. Spectrum sensing is one of the key functionalities that enable spectrum hole discovery and interference avoidance. As single user spectrum sensing may experience performance degradation in harsh wireless environment due to fading and shadowing, user cooperation is introduced to exploit spatial diversity for better sensing performance. However, local sensing results must be transmitted via a control channel. The advantage of cooperative sensing can be compromised by bandwidth limitation of the control channel. To overcome this, a benching cooperative sensing scheme is proposed in this paper. This scheme can reduce time overhead of sensing information exchange under a communication constraint. Analytical results of periodic sensing efficiency are then deduced while sensing parameters are optimized. Based on these, a recursive sensing algorithm exploiting prior channel state information is developed. Numerical results are presented to demonstrate the potential of our scheme.

Keywords cognitive radio cooperative sensing energy detection data fusion

Corresponding Author(s): CAO Zhigang,Email:czg-dee@tsinghua.edu.cn

Issue Date: 05 December 2010

Cite this article:

Guizhu FENG,Wei CHEN,Zhigang CAO. An efficient cooperative sensing scheme with bandwidth-limited control channel[J]. Front Elect Electr Eng Chin, 2010, 5(4): 456-463.

URL:

https://academic.hep.com.cn/fee/EN/10.1007/s11460-010-0111-1
https://academic.hep.com.cn/fee/EN/Y2010/V5/I4/456

Fig.1 Cognitive radio network architecture

Fig.2 Two stages of periodic sensing

Fig.3 Channel usage pattern

Fig.4 Periodic sensing with stage of sensing result exchange

Fig.5 Benching cooperative sensing in a CRN with three SUs

Fig.6 ROC curves of benching sensing with different timeslots

Fig.7 Comparison of different sensing schemes

Fig.8 Performance improvement with sensing time optimization and prior channel state information

1	Cabric D, Mishra S M, Brodersen R W. Implementation issues in spectrum sensing for cognitive radios. In: Proceedings of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers . 2004, 1: 772–776
2	Ganesan G, Li Y. Cooperative spectrum sensing in cognitive radio networks. In: Proceedings of the First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks . 2005, 137–143
3	Ghasemi A, Sousa E S. Collaborative spectrum sensing for opportunistic access in fading environments. In: Proceedings of the First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks . 2005, 131–136
4	Lataief K B, Zhang W. Cooperative spectrum sensing. Cognitive Wireless Communication Networks . New York: Springer, 2007, 115–138 doi: 10.1007/978-0-387-68832-9_4
5	Quan Z, Cui S, Sayed A H. Optimal linear cooperation for spectrum sensing in cognitive radio networks. IEEE Journal of Selected Topics in Signal Processing , 2008, 2(1): 28–40 doi: 10.1109/JSTSP.2007.914882
6	Liang Y C, Zeng Y, Peh E C Y, Hoang A T. Sensing-throughput tradeoff for cognitive radio networks. IEEE Transactions on Wireless Communications , 2008, 7(4): 1326–1337 doi: 10.1109/TWC.2008.060869
7	Ghasemi A, Sousa E S. Spectrum sensing in cognitive radio networks: the cooperation-processing tradeoff. Wireless Communications and Mobile Computing , 2007, 7(9): 1049–1060 doi: 10.1002/wcm.480
8	Urkowitz H. Energy detection of unknown deterministic signals. Proceedings of the IEEE , 1967, 55(4): 523–531 doi: 10.1109/PROC.1967.5573

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