cogcom 15(2): e1

Research Article

Performance Analysis on the Coexistence of Multiple Cognitive Radio Networks

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  • @ARTICLE{10.4108/cogcom.1.2.e1,
        author={Lijun Qian and Oluwaseyi Omotere and Riku J\aa{}ntti},
        title={Performance Analysis on the Coexistence of Multiple Cognitive Radio Networks},
        journal={EAI Endorsed Transactions on Cognitive Communications},
        volume={1},
        number={2},
        publisher={ICST},
        journal_a={COGCOM},
        year={2015},
        month={5},
        keywords={Multiple cognitive radio networks, achievable rate},
        doi={10.4108/cogcom.1.2.e1}
    }
    
  • Lijun Qian
    Oluwaseyi Omotere
    Riku Jäntti
    Year: 2015
    Performance Analysis on the Coexistence of Multiple Cognitive Radio Networks
    COGCOM
    ICST
    DOI: 10.4108/cogcom.1.2.e1
Lijun Qian1,*, Oluwaseyi Omotere1, Riku Jäntti2
  • 1: Department of Electrical and Computer Engineering, Prairie View A&M University, Texas A&M University
  • 2: Department of Communications and Networking, Aalto University, P.O. Box 13000, 00076 Aalto, Finland
*Contact email: liqian@pvamu.edu

Abstract

The demand for wireless services is growing on a daily basis while spectral resources to support this growth are static. Therefore, there is need for the adoption of a new spectrum sharing paradigm. Cognitive Radio (CR) is a revolutionary technology aiming to increase spectrum utilization through dynamic spectrum access, as well as mitigating interference among multiple coexisting wireless networks. In many practical scenarios, multiple CR networks may coexist in the same geographical area, and they may interfere with each other and also have to yield to the primary user (PU). In this study, we investigate how much throughput a node in a CR network can achieve in the presence of another CR network and a PU. The results of this study illustrate how the transmission probability and sensing performance affect the achievable throughput of a node in coexisting CR networks. In addition, these results may serve as guidance for the deployment of multiple CR networks.