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".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
본 논문에서는 인지 무선 네트워크에서 선택 다양성 결합을 기반으로 하는 새로운 스펙트럼 감지 기술을 제시합니다. 일반적으로 선택 다이버시티 결합 방식에서는 최적의 요소를 선택하기 위한 주기가 필요하고, 스펙트럼 센싱에서는 목표 신호를 검출하기 위한 주기가 필요하다. 우리는 선택 다양성 결합을 기반으로 한 스펙트럼 감지에 이 두 기간이 모두 필요하다고 생각합니다. 그러나 기존 기술에서는 두 기간을 모두 고려하지 않습니다. 또한 선택 및 신호 감지에 많은 시간을 소비하면 정확도가 높아집니다. 선택 다이버시티 결합 기반 스펙트럼 센싱에 필요한 주기는 두 주기의 합이기 때문에 일정한 주기 동안 선택 다이버시티 결합 기반 스펙트럼 센싱을 개발할 때 그 길이를 고려해야 한다. 이를 참조하여 선택 다양성 결합을 기반으로 한 스펙트럼 센싱 기법에 대해 논의한다. 제시된 설계 기법의 효율성을 검증하기 위해 수치적 예가 표시됩니다.
Shusuke NARIEDA
Mie University
Hiromichi OGASAWARA
Akashi Coll.
Hiroshi NARUSE
Mie University
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부
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
부
@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},}
부
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 -