Competitive Spectrum Sharing in Wireless Networks: A Dynamic Non-cooperative Game Approach

  • Omar Raoof
  • Zaineb Al-Banna
  • H. S. Al-Raweshidy
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 308)


“Game Theory” is a promising mathematical tool to improve the utilization of radio frequency spectrum in wireless networks. In this paper, we consider the problem of spectrum sharing between a primary user and a group of secondary users. We formulate our solution in such a way that one of the secondary users will be a secondary primary user by sharing the spectrum offered from the primary user and offer his share to be shared by the rest of the secondary users in the network. A theoretical non-cooperative game model is introduced to study node behavior in wireless networks based on their reputation. The only way for a node to guarantee a share in the spectrum is by enhancing its reputation, which is done by serving other nodes in the network. Game theory can be used by individual selfish nodes to determine their optimal strategy for participation level in the network. Furthermore, game theory produces information about the overall nature of nodes’ interaction and system efficiency, showing how system efficiency can be improved.


Spectrum sharing game theory spectrum pooling non-cooperative game 


  1. 1.
    Nagaraj, S.V.: Entropy-based spectrum sensing in cognitive radio. San Diego State University, 5500 Campanile Dr., San Diego (2008)Google Scholar
  2. 2.
    Arslan, H. (ed.): Cognitive Radio, Software Defined Radio, and Adaptive Wireless Systems, University of South Florida, Tampa. Springer, Heidelberg (2007)Google Scholar
  3. 3.
    Haykin, S.: Cognitive radio: Brain-empowered wireless communications. IEEE J. Select. Areas Comm. 23(2), 201–220 (2005)CrossRefGoogle Scholar
  4. 4.
    Niyato, D., Hossain, E.: Competitive Spectrum Sharing in Cognitive Radio Networks: A Dynamic Game Approach. IEEE Transactions on Wireless Communications 7(7), 2651–2660 (2008)CrossRefGoogle Scholar
  5. 5.
    Niyato, D., Hossain, E.: Equilibrium and Disequilibrium Pricing for Spectrum Trading in Cognitive Radio: A Control-Theoretic Approach. In: IEEE GLOBECOM (2007)Google Scholar
  6. 6.
    Niyato, D., Hossain, E.: Competitive Pricing for Spectrum Sharing in Cognitive Radio Networks: Dynamic Game, Inefficiency of Nash Equilibrium, and Collusion. IEEE Journal on Selected Areas in Communications 26(1), 192–202 (2008)CrossRefGoogle Scholar
  7. 7.
    MacKenzie, A.B., DaSilva, L.A.: Game Theory for Wireless Engineering, 1st edn. (2006)Google Scholar
  8. 8.
    Games 2008, Third World Congress of the Game Theory Society,

Copyright information

© IFIP International Federation for Information Processing 2009

Authors and Affiliations

  • Omar Raoof
    • 1
  • Zaineb Al-Banna
    • 1
  • H. S. Al-Raweshidy
    • 1
  1. 1.Wireless Networks and Communications Centre (WNCC)Brunel UniversityLondonUK

Personalised recommendations