Game Theory-Based Channel Allocation in Cognitive Radio Networks

Cognitive radio is an optimistic technology to implement the concept of dynamic spectrum access and provide a flexible way to share the spectrum among the primary and secondary users. In this paper, a game theoretic-based model is presented using the concept of Nash Equilibrium for spectrum sharing. In this model, interference and number of radios on each link are considered as parameters for designing the game. An algorithm for channel allocation among the users is also presented. From the simulation analysis, it is observed that the system performs satisfactorily in terms of network utilization. Also, the Taguichi method is applied and an analysis of variance (ANOVA) is performed, proving that the design parameters taken into consideration in our proposed method are impactful.

[1]  Xinbing Wang,et al.  Spectrum Sharing in Cognitive Radio Networks—An Auction-Based Approach , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[2]  Madhan Shridhar Phadke,et al.  Quality Engineering Using Robust Design , 1989 .

[3]  Tapan P. Bagchi,et al.  Taguchi methods explained : practical steps to robust design , 1993 .

[4]  Simon Haykin,et al.  Cognitive radio: brain-empowered wireless communications , 2005, IEEE Journal on Selected Areas in Communications.

[5]  Yuguang Fang,et al.  Stochastic Channel Selection in Cognitive Radio Networks , 2007, IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference.

[6]  Amjad Ali,et al.  A novel channel indexing-based channel selection algorithm for cognitive radio networks , 2013, 2013 International Conference on ICT Convergence (ICTC).

[7]  Jang-Ping Sheu,et al.  Interference-aware channel allocation algorithm with game theoretic approach for cognitive radio networks , 2014, 2014 20th IEEE International Conference on Parallel and Distributed Systems (ICPADS).

[8]  Sherali Zeadally,et al.  Spectrum Assignment in Cognitive Radio Networks: A Comprehensive Survey , 2013, IEEE Communications Surveys & Tutorials.

[9]  Hao Nan,et al.  Policy-based Dynamic Channel Selection Architecture for Cognitive Radio Networks , 2007, 2007 Second International Conference on Communications and Networking in China.

[10]  Ian F. Akyildiz,et al.  NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey , 2006, Comput. Networks.

[11]  Dusit Niyato,et al.  Competitive spectrum sharing in cognitive radio networks: a dynamic game approach , 2008, IEEE Transactions on Wireless Communications.

[12]  Allen B. MacKenzie,et al.  Game Theory for Wireless Engineers , 2006, Game Theory for Wireless Engineers.

[13]  Eric Maskin,et al.  Nash and dominant strategy implementation in economic environments , 1982 .

[14]  Xiaoying Gan,et al.  Cooperative Spectrum Sharing in Cognitive Radio Networks: A Game-Theoretic Approach , 2010, 2010 IEEE International Conference on Communications.