Intelligent Cognitive Radio Architecture Applying Machine Learning and Reconfigurability

Jari Nurmi, Darshika G. Perera

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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Abstract

This paper presents a cognitive radio architecture incorporating machine learning into its cognition engine. Both the cognition engine and the software-defined transmitter and receiver chains make use of reconfigurable technologies to enable adaptation to the radio operating environment.
Original languageEnglish
Title of host publication2021 IEEE Nordic Circuits and Systems Conference (NorCAS)
PublisherIEEE
Number of pages6
ISBN (Electronic)978-1-6654-0712-0
ISBN (Print)978-1-6654-0713-7
DOIs
Publication statusPublished - 2021
Publication typeA4 Article in conference proceedings
EventIEEE Nordic Circuits and Systems Conference -
Duration: 26 Oct 202127 Oct 2021

Conference

ConferenceIEEE Nordic Circuits and Systems Conference
Period26/10/2127/10/21

Publication forum classification

  • Publication forum level 1

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