1st International ICST Workshop on Cognitive Wireless Networks

Research Article

Efficient spectrum sharing and power control in cognitive radio networks

  • @INPROCEEDINGS{10.1145/1577382.1577384,
        author={Miao Ma and Danny H. K. Tsang},
        title={Efficient spectrum sharing and power control in cognitive radio networks},
        proceedings={1st International ICST Workshop on Cognitive Wireless Networks},
        publisher={ACM},
        proceedings_a={CWNETS},
        year={2007},
        month={8},
        keywords={Cognitive radio spectrum sharing power control transmission range interference range},
        doi={10.1145/1577382.1577384}
    }
    
  • Miao Ma
    Danny H. K. Tsang
    Year: 2007
    Efficient spectrum sharing and power control in cognitive radio networks
    CWNETS
    ACM
    DOI: 10.1145/1577382.1577384
Miao Ma1,*, Danny H. K. Tsang1,*
  • 1: Department of Electronic and Computer Engineering The Hong Kong University of Science and Technology Clear Water Bay, Kowloon, Hong Kong
*Contact email: eemma@ust.hk, eetsang@ust.hk

Abstract

Cognitive radio technology solves the spectrum under utilization problem by enabling the secondary users access the spectrum holes opportunistically. In this paper, we are interested in how to share the spectrum holes among the secondary users, with the objective of maximizing the total spectrum utilization. We present a cross-layer design including spectrum sharing and power control. Spectrum sharing determines which neighbor a node will communicate with and which channel this communication will take place; power control decides which power level a node will use. We propose a Binary Integer Linear Programming (BILP) formulation, and use LINGO to find the optimal solution. With the assumption that all nodes transmit at a same power level, we find that there exists an optimal common power level at which the total spectrum utilization is maximized. Numerical results demonstrate that, using the optimal common power level not only improves the total spectrum utilization, but also reduces the complexity of the BILP problem.