Notice of Violation of IEEE Publication PrinciplesCollaborative spectrum sensing using coalitional games in cognitive radio networks

Notice of Violation of IEEE Publication Principles

"Collaborative Spectrum Sensing using Coalitional Games in Cognitive Radio Networks"
by Li Yan, Yang Zhen
in the Proceedings of the 3rd IEEE International Conference on Computer Science and Information Technology (ICCSIT), July 2010, pp. 483-488

After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE\´s Publication Principles.

This paper duplicates large portions of the original text from the paper cited below. The original text was copied without attribution (including appropriate references to the original author(s) and/or paper title) and without permission.

Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following article:

"Coalitional Games for Distributed Collaborative Spectrum Sensing in Cognitive Radio Networks"
by Walid Saad, Zhu Han, Merouane Debbah, Are Hjorungnes, Tamer Basar
in the Proceedings of the IEEE INFOCOM, April 2009, pp. 2114-2122

Collaborative spectrum sensing among secondary users (SUs) in cognitive networks is shown to yield a significant performance improvement. In this paper, we study the dynamics of a network of SUs in order to reduce the interference on the PU through collaborative sensing. While existing literature mainly focused on centralized solutions for collaborative sensing, we propose a collaboration formation through game theory, and propose a distributed algorithm for coalition formation through simple merge-and-split rules. In this algorithm, SUs can auto-nomously collaborate, while maximizing their detection proba-bility taking into account the false alarm as cooperation costs. Simulation results show that the proposed algorithm reduce the average probability of missing the detection of the P- . In addition, we study the maximum number of SUs per formed coalition in the proposed utility model.