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

Sähkötekniikka

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

3 Sitaatiot (Scopus)

83 Lataukset (Pure)

Abstrakti

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.

Alkuperäiskieli	Englanti
Otsikko	2021 IEEE Nordic Circuits and Systems Conference (NorCAS)
Kustantaja	IEEE
Sivumäärä	6
ISBN (elektroninen)	978-1-6654-0712-0
ISBN (painettu)	978-1-6654-0713-7
DOI - pysyväislinkit	https://doi.org/10.1109/NorCAS53631.2021.9599858
Tila	Julkaistu - 2021
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	IEEE Nordic Circuits and Systems Conference - Kesto: 26 lokak. 2021 → 27 lokak. 2021

Conference

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

Julkaisufoorumi-taso

Jufo-taso 1

Pääsy asiakirjaan

10.1109/NorCAS53631.2021.9599858

Intelligent Cognitive Radio Architecture
This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.
Accepted author manuscript, 609 KBLisenssi: Unspecified

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

Siteeraa tätä

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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.",

author = "Jari Nurmi and Perera, {Darshika G.}",

year = "2021",

doi = "10.1109/NorCAS53631.2021.9599858",

language = "English",

isbn = "978-1-6654-0713-7",

booktitle = "2021 IEEE Nordic Circuits and Systems Conference (NorCAS)",

publisher = "IEEE",

address = "United States",

note = "IEEE Nordic Circuits and Systems Conference ; Conference date: 26-10-2021 Through 27-10-2021",

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TY - GEN

T1 - Intelligent Cognitive Radio Architecture Applying Machine Learning and Reconfigurability

AU - Nurmi, Jari

AU - Perera, Darshika G.

PY - 2021

Y1 - 2021

N2 - 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.

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

Abstrakti

Conference

Julkaisufoorumi-taso

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