Implementing Game Theory in Cognitive Radio Network for Channel Allocation: An Overview

Cognitive radio network has been introduced for better utilization of spectrum in wireless network. With change in environment cognitive radios have to change their operating parameters to achieve certain goals. Traditional approach for resource allocation is not applicable on self organizing networks e.g. Ad-hoc cognitive radio networks (AHCRN). In order to tackle the issues related to spectrum allocation game theory has been used. Game theory analyzes and models the interactions among users and allocates resources to users. In this paper we introduced how game theory has been used to model various interactions among cognitive radios in AHCRN. Game theory can be used at physical layer, data link layer, network layer and at higher layers also.

[1]  Wei Wang,et al.  List-coloring based channel allocation for open-spectrum wireless networks , 2005, VTC-2005-Fall. 2005 IEEE 62nd Vehicular Technology Conference, 2005..

[2]  Ryan W. Thomas,et al.  Cognitive networks , 2005, First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005..

[3]  Michael L. Honig,et al.  Distributed interference compensation for wireless networks , 2006, IEEE Journal on Selected Areas in Communications.

[4]  M. Dufwenberg Game theory. , 2011, Wiley interdisciplinary reviews. Cognitive science.

[5]  Anjali Agarwal,et al.  Comparison of Spectrum Management without Game Theory (SMWG) and with Game Theory (SMG) for Network Performance in Cognitive Radio Network , 2012, 2012 Seventh International Conference on Broadband, Wireless Computing, Communication and Applications.

[6]  K. J. Ray Liu,et al.  Belief-Assisted Pricing for Dynamic Spectrum Allocation in Wireless Networks with Selfish Users , 2006, 2006 3rd Annual IEEE Communications Society on Sensor and Ad Hoc Communications and Networks.

[7]  Chaodit Aswakul,et al.  Improved bandwidth allocation in Cognitive Radio Networks based on game theory , 2013, 2013 10th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology.

[8]  K. J. Ray Liu,et al.  Game theory for cognitive radio networks: An overview , 2010, Comput. Networks.

[9]  Zhiguang Qin,et al.  A cooperative game theory approach to resource allocation in cognitive radio networks , 2010, 2010 2nd IEEE International Conference on Information Management and Engineering.

[10]  Ian F. Akyildiz,et al.  CRAHNs: Cognitive radio ad hoc networks , 2009, Ad Hoc Networks.

[11]  Li Xu,et al.  Dynamic Opportunistic Spectrum Access of Multi-channel Multi-radio Based on Game Theory in Wireless Cognitive Network , 2013, 2013 IEEE 9th International Conference on Mobile Ad-hoc and Sensor Networks.

[12]  Rui Yang,et al.  Non-cooperative spectrum allocation based on game theory in cognitive radio networks , 2010, 2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA).

[13]  R. Gibbons Game theory for applied economists , 1992 .