Zobrazeno 1 - 8
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pro vyhledávání: '"Caicedo, Carlos E."'
Publikováno v:
Revista Facultad de Ingeniería Universidad de Antioquia; Apr-Jun2022, Issue 103, p116-129, 14p
Akademický článek
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Akademický článek
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Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783030257477
CrownCom
CrownCom
Cognitive radio (CR) technology with dynamic spectrum management capabilities is widely advocated for utilizing effectively the unused spectrum resources. The main idea behind CR technology is to trigger secondary communications to utilize the unused
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca2e4f0823cf0a87854344e24b264544
https://trepo.tuni.fi/handle/10024/129628
https://trepo.tuni.fi/handle/10024/129628
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783030257477
CrownCom
CrownCom
In this paper, we investigate multi-antenna interference rejection combing (IRC) based black-space cognitive radio (BS-CR) operation in time-varying channels. The idea of BS-CR is to transmit secondary user (SU) signal in the same frequency band with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e64621c42db464dd36d611955ca46ef4
https://doi.org/10.1007/978-3-030-25748-4_13
https://doi.org/10.1007/978-3-030-25748-4_13
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783030257477
CrownCom
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 291
Cognitive Radio-Oriented Wireless Networks 14th EAI International Conference, CrownCom 2019, Poznan, Poland, June 11–12, 2019, Proceedings
CrownCom
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 291
Cognitive Radio-Oriented Wireless Networks 14th EAI International Conference, CrownCom 2019, Poznan, Poland, June 11–12, 2019, Proceedings
Channel-charting (CC) is a machine learning technique for learning a multi-cell radio map, which can be used for cognitive radio-resource-management (RRM) problems. Each base-station (BS) extracts features from the channel-state-information samples (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54a8638df3313a60110fc7456f5ad841