Abstract
We consider in this work a group of secondary users with backlogged traffic to transmit in the primary network. To avoid interfering with the primary user, each secondary user must perform interference-aware spectrum sensing before transmission. Unlike conventional sensing techniques, interference-aware spectrum sensing allows a secondary user to adjust its sensing parameters for optimal performance depending on the probability of interfering with the primary user. While interference-aware sensing can achieve better performance for individual users, challenges arise when secondary users collaborate with each other for cooperative spectrum sensing due to their unequal interference probabilities that result in a conflict for setting the optimal sensing parameters. To model this problem, we consider an interference-aware cooperative sensing game and analyze player behaviors under such a game. We find that there is a unique pure Nash equilibrium of the game, but it tends to deviate from the desirable solution of social optimum. We then design a repeated game based on evolutionary game theory to address this problem. Players in the repeated game have the chance to revenge “uncooperative” players in ensuing repetitions for driving the equilibrium to the social optimum. We show through numerical results that the proposed game of evolution does achieve the desirable performance for interference-aware cooperative sensing in dynamic spectrum access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Bellman, R.: The theory of dynamic programming. Bulletin of the American Mathematical Society 60, 503–516 (1954)
Chow, C.S., Tsitsiklis, J.: An optimal multigrid algorithm for continuous state discrete time stochastic control. In: Proceedings of the 27th IEEE Conference on Decision and Control, vol. 3, pp. 1908–1912 (December 1988)
Cornuejols, G.: Valid inequalities for mixed integer linear programs. Mathematical Programming 112(1), 3–44 (2008)
Datla, D., Wyglinski, A., Minden, G.: A spectrum surveying framework for dynamic spectrum access networks. IEEE Transactions on Vehicular Technology 58(8), 4158–4168 (2009)
Digham, F.F., Alouini, M.S., Simon, M.K.: On the energy detection of unknown signals over fading channels. IEEE Transactions on Communications 55(1), 21–24 (2007)
Ganesan, G., Li, Y.: Cooperative spectrum sensing in cognitive radio networks. In: Proceeding of IEEE DySPAN, Baltimore, MD, USA, pp. 137–143 (November 2005)
Gardner, W.: Signal interception: A unifying theoretical framework for feature detection. IEEE Transactions on Communications 36(8), 897–906 (1988)
Ghasemi, A., Sousa, E.: Collaborative spectrum sensing for opportunistic access in fading environments. In: IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, pp. 131–136 (November 2005)
Huang, S., Liu, X., Ding, Z.: Optimal transmission strategies for dynamic spectrum access in cognitive radio networks. IEEE Transactions on Mobile Computing 8(12), 1636–1648 (2009)
Kay, S.M.: Fundamentals of Statistical Signal Processing: Detection Theory. Prentice Hall (February 1998)
Liang, Y.C., Zeng, Y., Peh, E., Hoang, A.T.: Sensing-throughput tradeoff for cognitive radio networks. IEEE Transactions on Wireless Communications 7(4), 1326–1337 (2008)
Moghimi, F., Nasri, A., Schober, R.: LP-norm spectrum sensing for cognitive radio networks impaired by non-Gaussian noise. In: Proceedings of IEEE Global Telecommunications Conference (GLOBECOM), pp. 1–6 (November 2009)
Peh, E., Liang, Y.C., Guan, Y.L., Zeng, Y.: Optimization of cooperative sensing in cognitive radio networks: A sensing-throughput tradeoff view. IEEE Transactions on Vehicular Technology 58(9), 5294–5299 (2009)
Sahai, A., Tandra, R., Mishra, S.M., Hoven, N.: Fundamental design tradeoffs in cognitive radio systems. In: Proceedings of the First International Workshop on Technology and Policy for Accessing Spectrum (TAPAS), New York, NY, USA (2006)
Tuy, H.: Monotonic optimization: Problems and solution approaches. SIAM Journal on Optimization 11(2), 464–494 (2000)
Weibull, J.W.: Evolutionary Game Theory. MIT Press (1995)
Yucek, T., Arslan, H.: A survey of spectrum sensing algorithms for cognitive radio applications. IEEE Communications Surveys and Tutorials 11(1), 116–130 (2009)
Zhang, T., Wu, Y., Lang, K., Tsang, D.: Optimal scheduling of cooperative spectrum sensing in cognitive radio networks. IEEE Systems Journal 4(4), 535–549 (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Lin, YE., Hsieh, HY. (2012). Evolution of Cooperation: A Case with Interference-Aware Cooperative Spectrum Sensing in Cognitive Radio Networks. In: Jain, R., Kannan, R. (eds) Game Theory for Networks. GameNets 2011. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 75. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30373-9_37
Download citation
DOI: https://doi.org/10.1007/978-3-642-30373-9_37
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-30372-2
Online ISBN: 978-3-642-30373-9
eBook Packages: Computer ScienceComputer Science (R0)