The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Cet article présente une nouvelle technique de détection du spectre basée sur la diversité de sélection combinée dans des réseaux radio cognitifs. En général, un schéma de combinaison de diversité de sélection nécessite une période pour sélectionner un élément optimal, et la détection spectrale nécessite une période pour détecter un signal cible. Nous considérons que ces deux périodes sont nécessaires pour la détection spectrale basée sur la combinaison de la diversité de sélection. Cependant, les techniques conventionnelles ne prennent pas en compte les deux périodes. De plus, consacrer beaucoup de temps à la sélection et à la détection des signaux augmente leur précision. Étant donné que la période requise pour la détection spectrale basée sur la combinaison de diversité de sélection est la somme des deux périodes, leurs longueurs doivent être prises en compte lors du développement de la combinaison de diversité de sélection basée sur la détection spectrale pour une période constante. En référence à cela, nous discutons de la technique de détection du spectre basée sur la combinaison de la diversité de sélection. Des exemples numériques sont présentés pour valider l'efficacité des techniques de conception présentées.
Shusuke NARIEDA
Mie University
Hiromichi OGASAWARA
Akashi Coll.
Hiroshi NARUSE
Mie University
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Shusuke NARIEDA, Hiromichi OGASAWARA, Hiroshi NARUSE, "Spectrum Sensing with Selection Diversity Combining in Cognitive Radio" in IEICE TRANSACTIONS on Fundamentals,
vol. E103-A, no. 8, pp. 978-986, August 2020, doi: 10.1587/transfun.2019EAP1167.
Abstract: This paper presents a novel spectrum sensing technique based on selection diversity combining in cognitive radio networks. In general, a selection diversity combining scheme requires a period to select an optimal element, and spectrum sensing requires a period to detect a target signal. We consider that both these periods are required for the spectrum sensing based on selection diversity combining. However, conventional techniques do not consider both the periods. Furthermore, spending a large amount of time in selection and signal detection increases their accuracy. Because the required period for spectrum sensing based on selection diversity combining is the summation of both the periods, their lengths should be considered while developing selection diversity combining based spectrum sensing for a constant period. In reference to this, we discuss the spectrum sensing technique based on selection diversity combining. Numerical examples are shown to validate the effectiveness of the presented design techniques.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2019EAP1167/_p
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@ARTICLE{e103-a_8_978,
author={Shusuke NARIEDA, Hiromichi OGASAWARA, Hiroshi NARUSE, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Spectrum Sensing with Selection Diversity Combining in Cognitive Radio},
year={2020},
volume={E103-A},
number={8},
pages={978-986},
abstract={This paper presents a novel spectrum sensing technique based on selection diversity combining in cognitive radio networks. In general, a selection diversity combining scheme requires a period to select an optimal element, and spectrum sensing requires a period to detect a target signal. We consider that both these periods are required for the spectrum sensing based on selection diversity combining. However, conventional techniques do not consider both the periods. Furthermore, spending a large amount of time in selection and signal detection increases their accuracy. Because the required period for spectrum sensing based on selection diversity combining is the summation of both the periods, their lengths should be considered while developing selection diversity combining based spectrum sensing for a constant period. In reference to this, we discuss the spectrum sensing technique based on selection diversity combining. Numerical examples are shown to validate the effectiveness of the presented design techniques.},
keywords={},
doi={10.1587/transfun.2019EAP1167},
ISSN={1745-1337},
month={August},}
Copier
TY - JOUR
TI - Spectrum Sensing with Selection Diversity Combining in Cognitive Radio
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 978
EP - 986
AU - Shusuke NARIEDA
AU - Hiromichi OGASAWARA
AU - Hiroshi NARUSE
PY - 2020
DO - 10.1587/transfun.2019EAP1167
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E103-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2020
AB - This paper presents a novel spectrum sensing technique based on selection diversity combining in cognitive radio networks. In general, a selection diversity combining scheme requires a period to select an optimal element, and spectrum sensing requires a period to detect a target signal. We consider that both these periods are required for the spectrum sensing based on selection diversity combining. However, conventional techniques do not consider both the periods. Furthermore, spending a large amount of time in selection and signal detection increases their accuracy. Because the required period for spectrum sensing based on selection diversity combining is the summation of both the periods, their lengths should be considered while developing selection diversity combining based spectrum sensing for a constant period. In reference to this, we discuss the spectrum sensing technique based on selection diversity combining. Numerical examples are shown to validate the effectiveness of the presented design techniques.
ER -