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Repeated Game-Inspired Spectrum Sharing for Clustering Cognitive Ad Hoc Networks

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  • Cuiran Li
  • Jianli Xie

Abstract

The paper studies the cooperative spectrum sharing among multiple secondary users (SUs) in a clustering cognitive ad hoc network. The problem is formulated as a repeated game with the aim of maximizing the total transmission rate of SUs. Firstly, a clustering formation procedure is proposed to reduce the overhead and delay of game process in cognitive radio network (CRN). Then the repeated game-inspired model for SUs is introduced. With the model, the convergence condition of the proposed spectrum-sharing algorithm is conducted, and the convergence performance is investigated by considering the effects of three key factors: transmission power, discount factor, and convergence coefficient. Furthermore, the fairness of spectrum sharing is analyzed, and numerical results show a significant performance improvement of the proposed strategy when compared to other similar spectrum-sharing algorithms.

Suggested Citation

  • Cuiran Li & Jianli Xie, 2013. "Repeated Game-Inspired Spectrum Sharing for Clustering Cognitive Ad Hoc Networks," International Journal of Distributed Sensor Networks, , vol. 9(3), pages 514037-5140, March.
  • Handle: RePEc:sae:intdis:v:9:y:2013:i:3:p:514037
    DOI: 10.1155/2013/514037
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