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.
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},}
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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 -