6th International ICST Conference on Communications and Networking in China

Research Article

Cooperative Spectrum Sensing with Diversity Reception in Cognitive Radios

  • @INPROCEEDINGS{10.1109/ChinaCom.2011.6158151,
        author={Hongjian SUN and Arumugam Nallanathan and Jing Jiang and Cheng-Xiang Wang},
        title={Cooperative Spectrum Sensing with Diversity Reception in Cognitive Radios},
        proceedings={6th International ICST Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2012},
        month={3},
        keywords={cognitive radio spectrum sensing energy detection nakagami m fading},
        doi={10.1109/ChinaCom.2011.6158151}
    }
    
  • Hongjian SUN
    Arumugam Nallanathan
    Jing Jiang
    Cheng-Xiang Wang
    Year: 2012
    Cooperative Spectrum Sensing with Diversity Reception in Cognitive Radios
    CHINACOM
    IEEE
    DOI: 10.1109/ChinaCom.2011.6158151
Hongjian SUN1,*, Arumugam Nallanathan1, Jing Jiang2, Cheng-Xiang Wang3
  • 1: Department of Electronic Engineering, King's College London
  • 2: Institute for Digital Communications, University of Edinburgh
  • 3: School of Engineering and Physical Sciences, Heriot-Watt University
*Contact email: hongjian.sun@kcl.ac.uk

Abstract

Cognitive radio (CR) is a promising technology that is capable of exploiting the scarcity of radio spectrum. One of the most important challenges for a CR system is to perform spectrum sensing in a fading environment. Diversity reception techniques are often used to combat the detrimental effects of fading channels. In this paper, we derive representations for the average probabilities of detection and false alarm when using energy detection with different diversity reception schemes over Nakagami-m fading channels. These expressions are then proved to have lower computational complexity than those proposed in the literature. The performance of different diversity reception schemes is compared for finding a proper cooperative strategy under different constraints. Simulation results show that with the aid of channel state information (CSI), maximum ratio combining gives an upper bound of the detection performance. Without CSI, square-law combining offers the best detection performance.