4th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications

Research Article

Optimal power allocation in joint spectrum underlay and overlay cognitive radio networks

  • @INPROCEEDINGS{10.1109/CROWNCOM.2009.5189342,
        author={Haipeng  Yao and Zheng  Zhou and He  Liu and Luyong  Zhang},
        title={Optimal power allocation in joint spectrum underlay and overlay cognitive radio networks},
        proceedings={4th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications},
        publisher={IEEE},
        proceedings_a={CROWNCOM},
        year={2009},
        month={8},
        keywords={Spectrum sharing strategy cognitive radio interference constrains optimal power allocation.},
        doi={10.1109/CROWNCOM.2009.5189342}
    }
    
  • Haipeng Yao
    Zheng Zhou
    He Liu
    Luyong Zhang
    Year: 2009
    Optimal power allocation in joint spectrum underlay and overlay cognitive radio networks
    CROWNCOM
    IEEE
    DOI: 10.1109/CROWNCOM.2009.5189342
Haipeng Yao1,*, Zheng Zhou1,*, He Liu1, Luyong Zhang1
  • 1: Key Lab of Universal Wireless Communications, MOE, Wireless Network Lab, Beijing University of Posts and Telecommunications, Beijing, P.R.China
*Contact email: yaohaipengbupt@gmail.com, zzhou@bupt.edu.cn

Abstract

In this paper, we investigate the optimal power allocation strategy in the joint spectrum overlay and underlay cognitive radio network where a licensee and multiple unlicensed users coexist and operate in the same spectrum. We propose an optimal power allocation scheme which achieves the maximum system utility while satisfying the QoS requirement of SUs and interference constrains of the PU. Particularly, since the unlicensed users adopting the overlay strategy do not necessarily have perfect sensing knowledge regarding the licensee, we modify the optimal power allocation scheme with the imperfect sensing knowledge. Moreover, we propose a QoS sensitivity based admission control algorithm to deal with the case that the optimal power allocation scheme is infeasible. The simulation results show that the proposed algorithm achieves better performance.