SpecWatch: Adversarial spectrum usage monitoring in CRNs with unknown statistics

Ming Li, Dejun Yang, Jian Lin, Jian Tang

Research output: Chapter in Book/Entry/PoemConference contribution

14 Scopus citations


In cognitive radio networks (CRNs), dynamic spectrum access has been proposed to improve the spectrum utilization, but it also generates spectrum misuse problems. One common solution to these problems is to deploy monitors to detect misbehaviors on certain channel. However, in multi-channel CRNs, it is very costly to deploy monitors on every channel. With a limited number of monitors, we have to decide which channels to monitor. In addition, we need to determine how long to monitor each channel and in which order to monitor, because switching channels incurs costs. Moreover, the information about the misuse behavior is not available a priori. To answer those questions, we model the spectrum usage monitoring problem as an adversarial multi-armed bandit problem with switching costs and design two effective online algorithms, SpecWatch and SpecWatch+. In SpecWatch, we select strategies based on the monitoring history and repeat the same strategy for certain timeslots to reduce switching costs. We prove its expected weak regret, i.e., the performance difference between the solution of SpecWatch and optimal (fixed) solution, is O(T2/3), where T is the time horizon. Whereas, in SpecWatch+, we select strategies more strategically to improve the performance. We show its actual weak regret is O(T2/3) with probability 1-δ, for any δ e (0,1). Both algorithms are evaluated through extensive simulations.

Original languageEnglish (US)
Title of host publicationIEEE INFOCOM 2016 - 35th Annual IEEE International Conference on Computer Communications
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467399531
StatePublished - Jul 27 2016
Event35th Annual IEEE International Conference on Computer Communications, IEEE INFOCOM 2016 - San Francisco, United States
Duration: Apr 10 2016Apr 14 2016

Publication series

NameProceedings - IEEE INFOCOM
ISSN (Print)0743-166X


Other35th Annual IEEE International Conference on Computer Communications, IEEE INFOCOM 2016
Country/TerritoryUnited States
CitySan Francisco

ASJC Scopus subject areas

  • General Computer Science
  • Electrical and Electronic Engineering


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