7th International Conference on Communications and Networking in China

Research Article

Power Efficiency Maximization Based on Cognitive Relay Transmission

  • @INPROCEEDINGS{10.1109/ChinaCom.2012.6417524,
        author={yaolian song and Guangzeng Feng and Jingmin Tang},
        title={Power Efficiency Maximization Based on Cognitive Relay Transmission},
        proceedings={7th International Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2012},
        month={10},
        keywords={power efficiency; cognitive relay transmission; transmit power; spectrum sensing time},
        doi={10.1109/ChinaCom.2012.6417524}
    }
    
  • yaolian song
    Guangzeng Feng
    Jingmin Tang
    Year: 2012
    Power Efficiency Maximization Based on Cognitive Relay Transmission
    CHINACOM
    IEEE
    DOI: 10.1109/ChinaCom.2012.6417524
yaolian song1,*, Guangzeng Feng2, Jingmin Tang3
  • 1: College of Telecommunications & Information Engineering Nanjing University of Posts and Telecommunications, Nanjing ,China
  • 2: College of Telecommunications & Information Engineering ,Nanjing University of Posts and Telecommunications, Nanjing ,China
  • 3: Faculty of Information Engineering and Automation, Kunming University of Science and Technology Kunming, China
*Contact email: syl719@163.com

Abstract

Cognitive radio is a promising technology, which can overcome the spectrum scarcity problem by enabling unlicensed users to access the licensed spectrum bands. In this paper, we focus on power efficiency maximization of cognitive system by jointly considering the parameters of spectrum sensing time and transmit power. In addition, we propose to investigate power efficiency of cognitive relay transmission scheme based on that of non-relay transmission. Finally, we provide the simulation results to show that the throughput and power efficiency of the proposed approach can be significantly improved compared to that of the non-relay transmission scheme in cognitive radio networks. Furthermore, numerical results demonstrate that there exists the optimal parameters to maximize power efficiency.