cogcom 14(1): e5

Research Article

Energy/bandwidth-Saving Cooperative Spectrum Sensing for Two-hopWRAN

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  • @ARTICLE{10.4108/cogcom.1.1.e5,
        author={Ming-Tuo Zhou and Chunyi Song and Chin Sean Sum and Hiroshi Harada},
        title={Energy/bandwidth-Saving Cooperative Spectrum Sensing for Two-hopWRAN},
        journal={EAI Endorsed Transactions on Cognitive Communications},
        keywords={TV White Space, Cognitive radio, IEEE 802.22, Wireless Regional Access Network, Cooperative Spectrum Sensing, Energy saving},
  • Ming-Tuo Zhou
    Chunyi Song
    Chin Sean Sum
    Hiroshi Harada
    Year: 2014
    Energy/bandwidth-Saving Cooperative Spectrum Sensing for Two-hopWRAN
    DOI: 10.4108/cogcom.1.1.e5
Ming-Tuo Zhou1,*, Chunyi Song2, Chin Sean Sum3, Hiroshi Harada4
  • 1: Smart Wireless Laboratory, NICT Singapore Representative Office, 20 Science Park Road, #01-09A/10 TeleTech Park, Singapore 117674
  • 2: Institute of Marine Information Science and Engineering, Zhejiang University, China
  • 3: Wi-SUN Alliance
  • 4: Graduate School of Informatics, Kyoto University, Japan
*Contact email:


A two-hop wireless regional area network (WRAN) providing monitoring services operating in Television White Space (TVWS), i.e., IEEE P802.22b, may employ a great number of subscriber customer-premises equipments (S-CPEs) possibly without mains power supply, leading to requirement of cost-effective and power-saving design. This paper proposes a framework of cooperative spectrum sensing (CSS) and an energy/bandwidth saving CSS scheme to P802.22b. In each round of sensing, S-CPEs with SNRs lower than a predefined threshold are excluded from reporting sensing results. Numerical results show that the fused missed-detection probability and false alarmprobability could remainmeeting sensing requirements, and the overall fused error probability changes very little. With 10 S-CPEs, it is possible to save more than 40% of the energy/bandwidth on a Rayleigh channel. The principle proposed can apply to other advanced sensing technologies capable of detecting primary signals with low average SNR.