Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
Cognitive radio (CR) technology is considered to be an effective solution for enhancing overall spectrum efficiency. Using CR technology fully involves the providing of incentives to Primary Radio Networks (PRNs) and revenue to the service provider so that Secondary Base Stations (SBSs) may utilize PRN spectrum bands accordingly. In this paper, a cooperative games with incomplete information for SBSs in a CR network is presented. Each SBS can cooperate with neighboring SBSs in order to improve its view of the spectrum. Moreover, proposed game-theory models assume that the devices have incomplete information about their components, meaning that some players do not completely know the structure of the game. Using the proposed algorithm, each SBS can leave or join the coalition while maximizing its overall utility. The simulation results illustrate that the proposed algorithm allows us to reduce the average payoff per SBS up to 140% relative to a CR network without cooperation among SBSs.
Rocznik
Tom
Strony
106--111
Opis fizyczny
Bibliogr. 23 poz., rys., tab.
Twórcy
autor
- Institute of Computer Science, Faculty of Mathematics and Computer Science, Jagiellonian University, Prof. S. Łojasiewicza st 6, 30-348 Krakow, Poland
Bibliografia
- [1] J. Mitola, “Cognitive Radio: an Integrated Agent Architecture for Software Defined Radio”, Ph. D. Dissertation, Royal Institute of Technology, 2000.
- [2] “Spectrum Policy Task Force”, Federal Communications Commission, Tech. rep., Nov. 2002.
- [3] “Facilitating Opportunities for Flexible, Efficient, and Reliable Spectrum Use Employing Cognitive Radio Technologies”, Federal Communications Commission, Notice of Proposed Rule Making and Order, FCC 03-322, 2003.
- [4] I. F. Akyildiz, W.-Y. Lee, M. C. Vuran, and S. Mohanty, “Next generation/dynamic spectru access/cognitive radio wireless networks: a survey, computer networks”, vol. 50, no. 13, pp. 2127–2159, 2006.
- [5] A. Ghasemi and E. S. Sousa, “Collaborative Spectrum Sensing forOpportunistic Access in Fading Environments”, in Proc. 1st IEEE Symp. New Frontiers Dynam. Spec. Access Netw. IEEE DySPAN 2005, Baltimore, MA, USA, 2005.
- [6] F. F. Digham, M. S. Alouini, and M. K. Simon, “On the energy detection of unknown signals over fading channels”, in Proc. Int. Conf. Commun., Alaska, USA, 2003, pp. 3575–3579.
- [7] W. Zhang and K. B. Letaief, “Cooperative spectrum sensing with transmit and relay diversity in cognitive radio networks”, IEEE Trans. Wireless Commun., vol. 7, no. 12, pp. 4761–4766, 2008.
- [8] P. Houz, S. B. Jemaa, and P. Cordier, “Common pilot channel for network selection”, in Proc. 63rd IEEE Veh. Technol. Conf VTC 2006, Melbourne, Australia, 2006.
- [9] M. Filo, A. Hossain, A. R. Biswas, and R. Piesiewicz, “Cognitive pilot channel: enabler for radio systems coexistence”, in Proc. 2nd Int. Worksh. Cogn. Radio Adv. Spectrum Manag., Aalborg, Denmark, May 2009.
- [10] O. Sallent, J. Perez-Romero, R. Agusti, and P. Cordier, “Cognitive pilot channel enabling spectrum awareness”, in Proc. IEEE Int. Conf. Commun. Worksh. ICC 2009, Dresden, Germany, 2009.
- [11] W. Saad, Z. Han, T. Basr, A. Hjorungnes, Ju Bin Song, “Hedonic coalition formation games for secondary base station cooperation in cognitive radio networks”, in Proc. IEEE Wirel. Commun. Netw. Conf. WCNC 2010, Sydney, Australia, 2010, pp. 1–6.
- [12] W. Saad, Z. Han, M. Debbah, and A. Hjorungnes, “Coalitional games for distributed collaborative spectrum sensing in cognitive radio networks, in Proc. 28th Conf. Comp. Commun. IEEE IFOCOM 2009, Rio de Janeiro, Brazil, 2009, pp. 2114–2122.
- [13] S. M. Perlaza, S. Lasaulce, M. Debbah, and J.- M. Chaufray, “Game Theory for Dynamic Spectrum Sharing”, in Cognitive Radio Net- works: Architecture, Protocols and Standards, Y. Zhang, J. Zheng, AND H. Chen, Eds., Taylor and Francis Group, Auerbach Publications, Boca Raton, FL 2010.
- [14] S. Mathur and L. Sankaranarayanan, “Coalitional games in Gaussian interference interference channels”, in Proc. IEEE Int. Symp. Inf. Theory ISIT 2006, Seattle, WA, USA, 2006, pp. 2210–2214.
- [15] G. Scutari, D. P. Palomar, and S. Barbarossa, “Competitive Design of Multiuser MIMO Systems Based on Game Theory: A Unified View”, IEEE J. Selec. Areas in Commun., vol. 26, no. 7, pp. 1089–115, 2008.
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- [17] D. Fudenberg, J. Tirole, Game Theory. Cambridge, USA: MIT Press, 1991.
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- [20] J. B. Rosen, “Existence and Uniquess of Equilibrium Points of Equilibrium Points for Concave N-person Games”, Econometrica, vol. 33, pp. 520–534, 1965.
- [21] D. Niyato, E. Hossein, and Z. Han, Dynamic Spectrum Access and Management in Cognitive Radio Networks. Cambridge, UK: Cambridge University Press, 2009.
- [22] J. Proakis, Digital Communications. 4th edition. McGraw-Hill, 2000.
- [23] S. Vassaki, A. Panagopoulos, and Ph. Constantinou, “Game-theoretic approach of fair bandwidth allocation in DVB-RCS networks”, in Proc. Int. Worksh. Satel. Space Commun. IWSSC 2009, Siena-Tuscany, Italy, 2009, pp. 321–325, 2009.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-e1c6fbff-5759-434e-81e6-7119f76c7fa4