Journal of South China University of Technology (Natural Science Edition) ›› 2015, Vol. 43 ›› Issue (9): 34-38,46.doi: 10.3969/j.issn.1000-565X.2015.09.006

• Electronics, Communication & Automation Technology • Previous Articles     Next Articles

Interference Ｒight Trading-Based Power Control Algorithm of Cognitive Ｒadio Networks

Deng Xiao-fang  Guan Quan-sheng  Lin wei-hui  Jiang Sheng-ming    

  1. 1． School of Electronic and Information Engineering，South China University of Technology，Guangzhou 510640，Guangdong，China;2． School of Information and Communication，Guilin University of Electronic Technology，Guilin 541004，Guangxi，China;3． College of Information Engineering，Shanghai Marine University，Shanghai 201306，China
  • Received:2015-02-11 Revised:2015-06-08 Online:2015-09-25 Published:2015-09-07
  • Contact: 官权升(1985-)，男，博士，副教授，主要从事认知无线通信网络研究． E-mail:eeqshguan@ scut.edu.cn
  • About author:邓小芳(1976-)，女，博士生，主要从事认知无线通信网络研究． E-mail: xfdeng@guet.edu.cn
  • Supported by:
    Supported by the National Natural Science Foundation of China(61302058) and the National Program on Key
    Basic Research Project of China(2011CB707003)

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Abstract: In order to promote the fairness and spectrum efficiency of cognitive radio networks (CRNs) and to max-
imize the utility of primary user (PU) and secondary users (SUs)，this paper introduces a game-based non-cooperation trading mechanism，and proposes an interference right trading-based power control algorithm of cognitive radio networks． In the algorithm，PUs that has satisfied their own minimum interference threshold are allowed to trade their interference rights (IRs)，and the interference price is imposed on SUs to earn income as the compensation for the degradation of QoS． Moreover，through the principle of price lever，the non-cooperative game among SUs as well as between PUs and SUs are performed in terms of the interference price and the transmitting power，and thus the interference price and the transmitting power eventually converge to a Nash equilibrium point． Simulation results show that the proposed algorithm is more fair and practical than the traditional one．

Key words: cognitive radio, interference right, power control