CUI Cuimei, WANG Yiming. Time Agility Optimization for Dual-stage Collaborative Spectrum Sensing[J]. Chinese Journal of Electronics, 2014, 23(2): 399-402.
Citation: CUI Cuimei, WANG Yiming. Time Agility Optimization for Dual-stage Collaborative Spectrum Sensing[J]. Chinese Journal of Electronics, 2014, 23(2): 399-402.

Time Agility Optimization for Dual-stage Collaborative Spectrum Sensing

Funds:  The work is supported by National Natural Science Foundation of China under Grant (No. 60872003 and No. 61172056), Doctoral Fund of Ministry of Education of China under Grant (No. 20093201110005).
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  • Corresponding author: WANG Yiming
  • Received Date: 2012-09-01
  • Rev Recd Date: 2013-07-01
  • Publish Date: 2014-04-05
  • Cooperative spectrum sensing has been shown to be an effective method to mitigate the impact of hidden terminal and shadow fading in cognitive radio networks. Currently most works focused on either cooperative sensing or sensing scheduling as a viable means to improve the detection performance without studying their interactions. This paper proposed a dynamic and variable time-division multiple-access scheduling mechanism that was incorporated into a Dual-stage collaborative spectrum sensing (DCSS) model in a less ideal radio environment. Moreover, this paper derived closed-form expressions of sensing time for DCSS, and addressed the critical range of timeslot length. An optimized algorithm to minimize sensing time was deduced and verified. The simulation results indicate that average sensing time with DCSS is shortened by 11.5% when compared with that of the Single collaborative spectrum sensing (SCSS) while guaranteeing detection error rate requirement of less than 1%.
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  • I. F. Akyildiz, et al., "Cooperative spectrum sensing in cognitive radio networks: A survey", Physical Communication (Elsevier) Journal, Vol. 4, No.1, pp. 40-62, 2011.
    C. Cui, Y. Wang, "Optimization and criterions of collaborative sensing under transmission power constraint", 2010 6th International conference on Wireless Communication Networking and Mobile Computing (WiCOM2010), Chengdu, China, pp.1-4, 2010.
    G. Ganesan and Y. Li, "Cooperative spectrum sensing in cognitive radio: Part I: Two user networks", IEEE Transactions on Wireless Communication, Vol.6, No.6, pp.2204-2213, 2007.
    Z. Tengyi, D. H. K. Tsang, "Optimal cooperative sensing scheduling for energy-efficient cognitive radio networks", Proc. Of INFOCOM, Shanghai, China, pp. 2723-2731, 2011.
    J. N. Laneman, D. N. C. Tse, G. W.Wornell, "Cooperative diversity in wireless networks: Efficient protocols and outage behavior", IEEE Transaction Information Theory, Vol.50, No.12, pp. 3062-3080, 2004.
    C. Stevenson, G. Chouinard, Z. Lei, W. Hu, S. Shellhammer, W. Caldwell, "IEEE 802.22: The first cognitive radio wireless regional area network standard", IEEE Communications Magazine, Vol. 47, No.1, pp. 130-138, 2009.
    H. Liang, X. Zhao, "Dynamic programming based power control algorithm with primary user QoS guarantee for cognitive radio networks", Chinese Journal of Electronics, Vol.22, No.2, pp.353-358, 2013.
    C. Cui, Y. Wang, "Analysis and optimization of sensing reliability for relay-based dual-stage collaborative spectrum sensing in cognitive radio networks", Wireless Personal Communications, Vol. 72, No.4, pp.2321-2337, 2013.
    K. S. Syed-Yusof, K. M. Khairul Rashid, N. M. Abdul Latiff, et al, "TDMA-based cooperative sensing using SDR platform for cognitive radio", 18th Asia-Pacific Conference on Communications (APCC), Jeju island, Korea, pp.278-283, 2012.
    H. Liu, G. Yao, J. Wu, "CBA-MAC: An adaptive MAC protocol over clustering based wireless sensor networks", Acta Electropica Sinica, Vol. 39, No.1, pp. 133-137, 2011.
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