Towards physical layer identification of cognitive radio devices

Seth Andrews, Ryan M. Gerdes, Ming Li

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

7 Scopus citations

Abstract

Increasing demand has led to wireless spectrum shortages, with many parts of the existing spectrum being heavily used. Dynamic spectrum access (DSA) has been proposed to allow cognitive radio networks to use existing spectrum more efficiently. It will allow secondary users to transmit on already allocated spectrum on a non-interference basis. Cognitive radios are able to change bandwidth and other transmission characteristics to take greater advantage of this spectrum. It is necessary to identify all devices on the network in order to enforce spectrum access rules. Manufacturing variation cause minute differences in signals from supposedly identical devices. Physical layer identification (also called device fingerprinting) techniques allow identification of devices based on small but unique variation due to these imperfections. Fingerprinting is very sensitive to any changes in the signal capture setup or the device's environment. The changes in bandwidth that would occur in a DSA system cause device fingerprinting to fail. In this paper we extend current device identification methods to include identification of devices with changing bandwidth. Experimental results are demonstrated on a collection of over 50 transmitters, with a significant improvement over current methods.

Original languageEnglish (US)
Title of host publication2017 IEEE Conference on Communications and Network Security, CNS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-9
Number of pages9
ISBN (Electronic)9781538606834
DOIs
StatePublished - Dec 19 2017
Externally publishedYes
Event2017 IEEE Conference on Communications and Network Security, CNS 2017 - Las Vegas, United States
Duration: Oct 9 2017Oct 11 2017

Publication series

Name2017 IEEE Conference on Communications and Network Security, CNS 2017
Volume2017-January

Other

Other2017 IEEE Conference on Communications and Network Security, CNS 2017
Country/TerritoryUnited States
CityLas Vegas
Period10/9/1710/11/17

ASJC Scopus subject areas

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

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