Optimal Crowdsourced Channel Monitoring in Cognitive Radio Networks

Ahmed M. Salama, Ming Li, Dejun Yang

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

4 Scopus citations

Abstract

Crowdsourcing is an emerging paradigm for spectrum access rule enforcement in dynamic spectrum sharing, which leverages a large number of mobile users to help monitoring and detecting spectrum violations and misuse. Its main advantages compared with traditional dedicated monitoring architecture includes enhanced coverage, effectiveness and lower costs. However, how to optimally assign mobile users to monitor the channel usage has not been studied in the crowdsourced setting. The main challenges are: the large number of channels to monitor while mobile users may not be available all the time, the need to consider monitoring costs and incentives, as well as the uncertainty of each channel's traffic patterns. In this paper, we tackle such challenges by formulating a stochastic optimization problem that optimizes the spectrum monitoring task for crowdsourced mobile users. We consider the availability pattern of the mobile users and we assume they are given payments as incentives for participating in monitoring. Simulations show that our method outperforms the risk-averse scenario and has a small gap with the solution under perfect information.

Original languageEnglish (US)
Title of host publication2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781509050192
DOIs
StatePublished - Jul 1 2017
Event2017 IEEE Global Communications Conference, GLOBECOM 2017 - Singapore, Singapore
Duration: Dec 4 2017Dec 8 2017

Publication series

Name2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings
Volume2018-January

Conference

Conference2017 IEEE Global Communications Conference, GLOBECOM 2017
Country/TerritorySingapore
CitySingapore
Period12/4/1712/8/17

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Safety, Risk, Reliability and Quality

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