No-regret learning in collaborative spectrum sensing with malicious nodes

Quanyan Zhu, Zhu Han, Tamer Başar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In cognitive radio networks, spectrum sensing is a key component to detect spectrum holes (i.e., channels not used by any primary user). Collaborative spectrum sensing among the cognitive radio nodes is expected to improve the fidelity of primary user detection. However, malicious nodes can significantly impair the collaborative spectrum sensing by sending wrong reports to the fusion center. To overcome this problem, we propose in this paper no-regret learning to study the nonconstructive secondary users caused by either evil-intention or altruistical incapability. We investigate learning scenarios under both perfect observation and partial monitoring and propose two algorithms, for which we also establish some convergence properties. Moreover, we analyze the case in which the nature is assumed to be a player to develop a game-theoretical point of view towards the no-regret learning algorithms. Illustrative examples and simulation results demonstrate that the proposed schemes can assist the users to figure out the malicious nodes in a distributed way.

Original languageEnglish (US)
Title of host publication2010 IEEE International Conference on Communications, ICC 2010
DOIs
StatePublished - Aug 13 2010
Event2010 IEEE International Conference on Communications, ICC 2010 - Cape Town, South Africa
Duration: May 23 2010May 27 2010

Publication series

NameIEEE International Conference on Communications
ISSN (Print)0536-1486

Other

Other2010 IEEE International Conference on Communications, ICC 2010
CountrySouth Africa
CityCape Town
Period5/23/105/27/10

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ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Cite this

Zhu, Q., Han, Z., & Başar, T. (2010). No-regret learning in collaborative spectrum sensing with malicious nodes. In 2010 IEEE International Conference on Communications, ICC 2010 [5502580] (IEEE International Conference on Communications). https://doi.org/10.1109/ICC.2010.5502580