Detection Reliability and Throughput Analysis for Cooperative Spectrum Sensing in Cognitive Radio Networks

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Abstract:

In cognitive radio networks (CRNs), cooperative spectrum sensing technology could overcome the impact from shadow fading and noise uncertainty; however, cognitive radio users with different signal-to-noise ratios (SNRs) would cause the unreliable detection performance when making a decision in the information fusion center. Therefore, a novel cooperative spectrum sensing scheme which focus on the reliability of cognitive radio users is presented. The proposed approach does not select all of the cognitive radio users but the ones whose SNR is beyond the average SNR of the whole users for high reliability. Moreover, the detection and throughput performance is investigated. Simulation results illustrate this approach could enhances the detection probability by comparing to the conventional cooperative algorithm. Besides, it also could lead to higher throughput within a short spectrum sensing time.

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Advanced Materials Research (Volumes 457-458)

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668-674

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January 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] J. Mitola: Cognitive radio: An integrated agent architecture for software defined radio, Doctor of Technology, Royal Inst. Technol. (KTH), Stockholm, Sweden, (2000).

Google Scholar

[2] S. Haykin: Cognitive radio: Brain-empowered wireless communications, IEEE J. Selected Areas in Communications, vol. 23, no. 2, (2005), pp.201-220.

DOI: 10.1109/jsac.2004.839380

Google Scholar

[3] A. Ghasemi and E. Sousa, in: Collaborative spectrum sensing for opportunistic access in fading environments, in Proc. IEEE DySPAN, (2005), p.131–136.

DOI: 10.1109/dyspan.2005.1542627

Google Scholar

[4] E. Vistotsky, S. Kuffner, and R. Peterson, in: On collaborative detection of TV transmissions in support of dynamic spectrum sharing, in Proc. IEEE DySPAN, (2005), p.338–345.

DOI: 10.1109/dyspan.2005.1542650

Google Scholar

[5] G. Ghurumuruhan and Y. Li, in: Agility improvement through cooperative diversity in cognitive radio, in Proc. IEEE GLOBECOM, (2005), p.2507–2509.

DOI: 10.1109/glocom.2005.1578213

Google Scholar

[6] Young-June Choi, Yan Xin, and Sampath Rangarajan, in: Overhead-Throughput Tradeoff in Cooperative Cognitive Radio Networks, in the WCNC 2009 proceedings, (2009), pp.1-4.

DOI: 10.1109/wcnc.2009.4917876

Google Scholar

[7] CHEN Gui-zhen, ZHANG Xiao-chun, DING En-jie. in: Study of Coal Mine Cognitive Radio Sensing Algorithm, 2009 WASE International Conference on Information Engineering, (2009), pp.1-4.

DOI: 10.1109/icie.2009.198

Google Scholar

[8] Ayman A. El-Saleh, Mahamod Ismail, Mohd. A. M. Ali, and Ahmed N. H. Alnuaimy. in: Capacity Optimization for Local and Cooperative Spectrum Sensing in Cognitive Radio Networks. International Journal of Electronics, Circuits and Systems 3: 3 (2009).

Google Scholar

[9] Ying-Chang Liang, Yonghong Zeng, Edward C.Y. Peh, and Anh Tuan Hoang, in: Sensing-Throughput Tradeoff for Cognitive Radio Networks. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, Vol. 7, No. 4, (2008), pp.1326-1337.

DOI: 10.1109/twc.2008.060869

Google Scholar