7th International Conference on Cognitive Radio Oriented Wireless Networks

Research Article

Per-Node Throughput Performance of Overlapping Cognitive Radio Networks

Download561 downloads
  • @INPROCEEDINGS{10.4108/icst.crowncom.2012.248460,
        author={Jari Nieminen and Lijun Qian and Riku J\aa{}ntti},
        title={Per-Node Throughput Performance of Overlapping Cognitive Radio Networks},
        proceedings={7th International Conference on Cognitive Radio Oriented Wireless Networks},
        publisher={IEEE},
        proceedings_a={CROWNCOM},
        year={2012},
        month={7},
        keywords={overlapping cr networks throughput performance bounds},
        doi={10.4108/icst.crowncom.2012.248460}
    }
    
  • Jari Nieminen
    Lijun Qian
    Riku Jäntti
    Year: 2012
    Per-Node Throughput Performance of Overlapping Cognitive Radio Networks
    CROWNCOM
    IEEE
    DOI: 10.4108/icst.crowncom.2012.248460
Jari Nieminen1,*, Lijun Qian2, Riku Jäntti1
  • 1: Department of Communications and Networking, Aalto University, Finland
  • 2: Department of Electrical and Computer Engineering, Prairie View A&M University, Texas A&M University System, USA
*Contact email: jari.nieminen@aalto.fi

Abstract

Multiple Cognitive Radio (CR) networks may exist in the same spatial domain in many cases. In this paper we consider two uncoordinated and geographically overlapping CR networks coexisting together with a primary network. We specifically study the achievable per-node throughput performance of the CR networks. Firstly, an interference model is specified which models the situation. By using this model we derive the per-node throughput for overlapping CR networks. Furthermore, the upper bound for the probability of false alarm, which is required to achieve a certain throughput, is deduced. The results of this paper illustrate how the different CR network parameters, such as network density, transmission probability, and sensing performance, affect the achievable per-node throughput in overlapping CR networks. In addition, these results serve as guidance for the deployment of multiple CR networks.