Efficient swarm intelligent algorithm for power control game in cognitive radio networks

Cognitive radio networks (CRNs) are applied to solve spectrum scarcity. In this study, the authors propose an efficient power control game to improve its performance based on outage probability of primary user in a spectrum-underlay CRN. The interference threshold deduced from outage probability and normalised signal to interference plus noise ratio are used to develop a novel non-linear pricing function, which is a key element of obtaining Pareto improvement in non-cooperative power control game. In addition, an efficient swarm intelligent algorithm originated from eco-group activities is designed in detail to accelerate the convergence speed and improve the energy-efficiency. Theoretical analysis and simulation results are presented to prove the effectiveness and superiority of the proposed power control game.

[1]  Kevin E Lansey,et al.  Optimization of Water Distribution Network Design Using the Shuffled Frog Leaping Algorithm , 2003 .

[2]  Qihui Wu,et al.  Social welfare maximization for SRSNs using bio-inspired community cooperation mechanism , 2012 .

[3]  Samson Lasaulce,et al.  A Repeated Game Formulation of Energy-Efficient Decentralized Power Control , 2010, IEEE Transactions on Wireless Communications.

[4]  H. Vincent Poor,et al.  An energy-efficient approach to power control and receiver design in wireless data networks , 2005, IEEE Transactions on Communications.

[5]  Rachid El Azouzi,et al.  Introducing hierarchy in energy games , 2009, IEEE Transactions on Wireless Communications.

[6]  D. M. Topkis.  Equilibrium Points in Nonzero-Sum n-Person Submodular Games , 1979 .

[7]  David J. Goodman,et al.  Power control for wireless data , 2000, IEEE Wirel. Commun..

[8]  Muzaffar Eusuff,et al.  Shuffled frog-leaping algorithm: a memetic meta-heuristic for discrete optimization , 2006 .

[9]  Keith W. Hipel,et al.  Multiple-Criteria Sorting Using Case-Based Distance Models With an Application in Water Resources Management , 2007, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

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

[11]  Ness B. Shroff,et al.  A utility-based power-control scheme in wireless cellular systems , 2003, TNET.

[12]  Narayan B. Mandayam,et al.  Joint network-centric and user-centric radio resource management in a multicell system , 2005, IEEE Transactions on Communications.

[13]  Azizollah Jamshidi,et al.  Interference impact on the outage capacity of a frequency diversity paradigm in cognitive radio networks , 2012, IET Commun..

[14]  Yuhui Shi,et al.  Power control algorithm in cognitive radio system based on modified Shuffled Frog Leaping Algorithm , 2012 .

[15]  Mingyan Jiang,et al.  Multiobjective optimization by Artificial Fish Swarm Algorithm , 2011, 2011 IEEE International Conference on Computer Science and Automation Engineering.

[16]  Nasir Ghani,et al.  Game-Theoretic Approach for Primary-Secondary User Power Control Under Fast Flat Fading Channels , 2011, IEEE Communications Letters.

[17]  K. J. Ray Liu,et al.  Advances in cognitive radio networks: A survey , 2011, IEEE Journal of Selected Topics in Signal Processing.

[18]  Stefano Buzzi,et al.  A Game-Theoretic Approach to Energy-Efficient Power Control and Receiver Design in Cognitive CDMA Wireless Networks , 2011, IEEE Journal of Selected Topics in Signal Processing.

[19]  Cem U. Saraydar,et al.  Efficient power control via pricing in wireless data networks , 2002, IEEE Trans. Commun..

[20]  K. J. Ray Liu,et al.  COGNITIVE RADIOS FOR DYNAMIC SPECTRUM ACCESS - Dynamic Spectrum Sharing: A Game Theoretical Overview , 2007, IEEE Communications Magazine.

[21]  Li Wang,et al.  A New Game Algorithm for Power Control in Cognitive Radio Networks , 2011, IEEE Transactions on Vehicular Technology.

[22]  Narayan B. Mandayam,et al.  Pricing and power control for joint network-centric and user-centric radio resource management , 2004, IEEE Transactions on Communications.

[23]  Eitan Altman,et al.  S-modular games and power control in wireless networks , 2003, IEEE Trans. Autom. Control..

[24]  Andrea J. Goldsmith,et al.  Breaking Spectrum Gridlock With Cognitive Radios: An Information Theoretic Perspective , 2009, Proceedings of the IEEE.

[25]  Ying-Chang Liang,et al.  Optimal Power Allocation Strategies for Fading Cognitive Radio Channels with Primary User Outage Constraint , 2011, IEEE Journal on Selected Areas in Communications.

[26]  Yusun Chang,et al.  Asynchronous Power Control Game with Channel Outage Constraints in Cognitive Radio Networks , 2011, 2011 IEEE International Conference on Communications (ICC).

[27]  Guevara Noubir,et al.  Utility/pricing-based resource allocation strategy for cognitive radio systems , 2011, 2011 International Conference on Multimedia Computing and Systems.