Coalition Formation Games for Collaborative Spectrum SensingReportar como inadecuado

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1 UiO - University of Oslo 2 University of Houston 3 University of Illinois at Urbana-Champaign Urbana 4 Chaire Radio Flexible Alcatel-Lucent-Supélec Chaire Radio Flexible - Chaire Radio Flexible Alcatel-Lucent-Supélec

Abstract : Collaborative Spectrum Sensing CSS between secondary users SUs in cognitive networks exhibits an inherent tradeoff between minimizing the probability of missing the detection of the primary user PU and maintaining a reasonable false alarm probability e.g., for maintaining a good spectrum utilization. In this paper, we study the impact of this tradeoff on the network structure and the cooperative incentives of the SUs that seek to cooperate for improving their detection performance. We model the CSS problem as a non-transferable coalitional game, and we propose distributed algorithms for coalition formation. First, we construct a distributed coalition formation CF algorithm that allows the SUs to self-organize into disjoint coalitions while accounting for the CSS tradeoff. Then, the CF algorithm is complemented with a coalitional voting game for enabling distributed coalition formation with detection probability guarantees CF-PD when required by the PU. The CF-PD algorithm allows the SUs to form minimal winning coalitions MWCs, i.e., coalitions that achieve the target detection probability with minimal costs. For both algorithms, we study and prove various properties pertaining to network structure, adaptation to mobility and stability. Simulation results show that CF reduces the average probability of miss per SU up to 88:45% relative to the non-cooperative case, while maintaining a desired false alarm. For CF-PD, the results show that up to 87:25% of the SUs achieve the required detection probability through MWCs.

Autor: Walid Saad - Han Zhu - Tamer Basar - Merouane Debbah - Are Hjorungnes -



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