cogcom 16(7): e1

Research Article

Consensus-based Spectrum Sensing in Cognitive Radio Networks

Download1038 downloads
  • @ARTICLE{10.4108/eai.5-9-2016.151644,
        author={Natalia Y. Ermolova and Olav Tirkkonen},
        title={Consensus-based Spectrum Sensing in Cognitive Radio Networks},
        journal={EAI Endorsed Transactions on Cognitive Communications},
        volume={2},
        number={7},
        publisher={EAI},
        journal_a={COGCOM},
        year={2016},
        month={9},
        keywords={cognitive radio networks, distributed spectrum sensing, so-cial wireless networks, wireless propagation.},
        doi={10.4108/eai.5-9-2016.151644}
    }
    
  • Natalia Y. Ermolova
    Olav Tirkkonen
    Year: 2016
    Consensus-based Spectrum Sensing in Cognitive Radio Networks
    COGCOM
    EAI
    DOI: 10.4108/eai.5-9-2016.151644
Natalia Y. Ermolova1,*, Olav Tirkkonen1
  • 1: Aalto University, FI-00076, Aalto, Finland
*Contact email: natalia.ermolova@aalto.fi

Abstract

In this work, we analyze a distributed cooperative spectrum sensing scheme where N secondary users (SUs) of a cognitive wireless net-work make a joint decision on the primary user (PU) presence based on an agreement reached through interchanging of SU’s individual decisions. The operational protocol assumes that each SU updates the personal de-cision by using the “K-out-of-N” rule, and the network detects the PU if the nodes reach the consensus. The problem of forming a joint opinion becomes challenging because a SU makes its personal decision based on local observations distorted by a wireless propagation medium. In this paper, we analyze statistics of factors affecting the algorithm efficiency and obtain sufficient conditions of reaching consensus. The presented analysis takes into account possible node disconnections caused by poor propagation conditions.