Intelligent Cognitive Radio Architecture Applying Machine Learning and Reconfigurability

Jari Nurmi; Darshika G. Perera

doi:10.1109/NorCAS53631.2021.9599858

Intelligent Cognitive Radio Architecture Applying Machine Learning and Reconfigurability

Jari Nurmi, Darshika G. Perera

Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

3 Citations (Scopus)

76 Downloads (Pure)

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 language	English
Title of host publication	2021 IEEE Nordic Circuits and Systems Conference (NorCAS)
Publisher	IEEE
Number of pages	6
ISBN (Electronic)	978-1-6654-0712-0
ISBN (Print)	978-1-6654-0713-7
DOIs	https://doi.org/10.1109/NorCAS53631.2021.9599858
Publication status	Published - 2021
Publication type	A4 Article in conference proceedings
Event	IEEE Nordic Circuits and Systems Conference - Duration: 26 Oct 2021 → 27 Oct 2021

Conference

Conference	IEEE Nordic Circuits and Systems Conference
Period	26/10/21 → 27/10/21

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Publication forum level 1

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10.1109/NorCAS53631.2021.9599858

Intelligent Cognitive Radio Architecture
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Accepted author manuscript, 609 KBLicence: Unspecified

https://urn.fi/URN:NBN:fi:tuni-202111298774Licence: Unspecified

Cite this

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title = "Intelligent Cognitive Radio Architecture Applying Machine Learning and Reconfigurability",

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.",

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AU - Perera, Darshika G.

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AB - 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.

U2 - 10.1109/NorCAS53631.2021.9599858

DO - 10.1109/NorCAS53631.2021.9599858

M3 - Conference contribution

SN - 978-1-6654-0713-7

BT - 2021 IEEE Nordic Circuits and Systems Conference (NorCAS)

PB - IEEE

T2 - IEEE Nordic Circuits and Systems Conference

Y2 - 26 October 2021 through 27 October 2021

ER -

Intelligent Cognitive Radio Architecture Applying Machine Learning and Reconfigurability

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