Cognitive Radio Systems by Wei Wang PDF

By Wei Wang

ISBN-10: 9533070218

ISBN-13: 9789533070216

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2005, Baltimore, USA). Adaptive channel allocation spectrum etiquette for cognitive radio networks, Proceedings of IEEE Dyspan 2005, pp. 269– 278. , Agusti, R. & Giupponi, L. (17-20 April, Dublin, Ireland). A Novel On-Demand Cognitive Pilot Channel enabling Dynamic Spectrum Allocation, Proceedings of IEEE Dyspan 2007. , Erkip, E. & Aazhang, B. (2003). User cooperation diversity. part i. system description, IEEE Transactions on Communications 51(11): 1927–1938. ; Jafar, S. (2007). The throughput potential of cognitive radio: A theoretical perspective, IEEE Communications Magazine 45(5): 73–79.

E. C. van der Meulen, “Three-terminal communication channels,” Adv. Appl. , vol. 3, pp. 120–154, 1971. 20. Maric, R. Yates, and G. Kramer, “The strong interference channel with unidirectional cooperation,” in Information Theory and Applications ITA Inaugural Workshop, Feb. 2006. 21. N. Devroye, P. Mitran, and V. Tarokh, “Achievable rates in cognitive radio channels,” in 39th Annual Conf. on Information Sciences and Systems (CISS), Mar. 2005. 22. S. Jafar and S. Srinivasa, “Capacity limits of cognitive radio with distributed dynamic spectral activity,” in Proc.

The most well known equilibrium concept in game theory is the Nash equilibrium. The Nash equilibrium is a joint strategy where no player can increase its utility by unilaterally deviating. That is: Definition 1: A strategy profile s ∈ S is a Nash equilibrium if ui (si , s−i ) ≥ ui (si , s−i ), ∀si ∈ Si , ∀i ∈ N. An alternative interpretation of the definition of Nash equilibrium is that it is a mutual best response from each player to other players’ strategies. Definition 2: The best response br (s−i ) of player i to the profile of strategies s−i is a strategy si such that: bri (s−i ) = argmaxsi ∈Si ui (si , s−i )).

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Cognitive Radio Systems by Wei Wang

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