6th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications

Research Article

Location-Aware Spectrum and Power Allocation in Joint Cognitive Communication-Radar Networks

Download687 downloads
  • @INPROCEEDINGS{10.4108/icst.crowncom.2011.245751,
        author={Yogesh Nijsure and Yifan Chen and Chau Yuen and Yong Huat Chew},
        title={Location-Aware Spectrum and Power Allocation in Joint Cognitive Communication-Radar Networks},
        proceedings={6th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications},
        publisher={IEEE},
        proceedings_a={CROWNCOM},
        year={2012},
        month={5},
        keywords={Cognitive radio cognitive radar spectrum sensing power allocation},
        doi={10.4108/icst.crowncom.2011.245751}
    }
    
  • Yogesh Nijsure
    Yifan Chen
    Chau Yuen
    Yong Huat Chew
    Year: 2012
    Location-Aware Spectrum and Power Allocation in Joint Cognitive Communication-Radar Networks
    CROWNCOM
    IEEE
    DOI: 10.4108/icst.crowncom.2011.245751
Yogesh Nijsure1, Yifan Chen1,*, Chau Yuen2, Yong Huat Chew3
  • 1: Newcastle University
  • 2: Singapore University of Technology and Design
  • 3: Institute for Infocomm Research
*Contact email: yifan.chen2@ncl.ac.uk

Abstract

A novel approach to spectrum and power allocation is proposed for joint cognitive communication-radar networks, which aim at integrating cognitive radio (CR-o) and cognitive radar (CR-r) paradigms to achieve intelligent utilization of spectrum resources in wireless networks. This approach exploits the location information offered by CR-r combined with spectrum sensing capability of CR-o to aid spectrum and power allocation by minimizing harmful interference among neighboring devices. Such systems require both coexistence and sharing of perception of radio environment and radar scene. To offer better spectrum resource utilization, entropy of the received signal is employed in order to detect spectrum holes over the network topology. This entropy-based technique also demonstrates superior performance as compared to the conventional method based on energy detection. Simulation results indicate both throughput improvement and interference reduction among neighboring devices.