High-Efficiency FCME-Based Noise Power Estimation for Long-Term and Wide-Band Spectrum Measurements

Statistics in terms of spectrum occupancy are useful for efficient and smart dynamic spectrum sharing, and the statistics can be obtained by long-term and wide-band spectrum measurements. In this paper, we investigate noise floor (NF) estimation for energy detection (ED)-based long-term and wide-ban...

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Autores principales:	Hiroki Iwata, Kenta Umebayashi, Ahmed Al-Tahmeesschi, Janne Lehtomaki
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Noise floor estimation energy detection dynamic spectrum access spectrum measurement Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/3fa766d616c04bc08b43821ff3adee6b
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spelling	oai:doaj.org-article:3fa766d616c04bc08b43821ff3adee6b2021-11-18T00:01:16ZHigh-Efficiency FCME-Based Noise Power Estimation for Long-Term and Wide-Band Spectrum Measurements2169-353610.1109/ACCESS.2021.3124905https://doaj.org/article/3fa766d616c04bc08b43821ff3adee6b2021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9598855/https://doaj.org/toc/2169-3536Statistics in terms of spectrum occupancy are useful for efficient and smart dynamic spectrum sharing, and the statistics can be obtained by long-term and wide-band spectrum measurements. In this paper, we investigate noise floor (NF) estimation for energy detection (ED)-based long-term and wide-band spectrum measurements since the NF estimation heavily affects the ED performance and eventually the accuracy of the statistics in terms of spectrum occupancy. Specifically, we address the following NF estimation problems simultaneously for the first time in the spectrum measurement field: (1) <italic>slow</italic> time-varying property of the NF, (2) frequency dependency of the NF, (3) the NF estimation in the presence of the signal, and (4) the computational cost of the NF estimation. Firstly, we apply Forward consecutive mean excision (FCME) algorithm-based NF estimation to deal with the above three problems ((1), (2) and (3)) successfully. Second, we propose and apply an NF level change detection on top of the FCME algorithm-based NF estimation to deal with the fourth problem. The proposed NF level change detection exploits the <italic>slow</italic> time-varying property of the NF. Specifically, only if the significant NF level change is detected, the FCME algorithm-based NF estimation is performed to reduce the redundant NF estimations. In numerical evaluations, we show the efficiency and the validity of the NF level change detection for the NF estimation problems, and compare the NF estimation performance with the method without the NF level change detection.Hiroki IwataKenta UmebayashiAhmed Al-TahmeesschiJanne LehtomakiIEEEarticleNoise floor estimationenergy detectiondynamic spectrum accessspectrum measurementElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 149883-149893 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Noise floor estimation energy detection dynamic spectrum access spectrum measurement Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Noise floor estimation energy detection dynamic spectrum access spectrum measurement Electrical engineering. Electronics. Nuclear engineering TK1-9971 Hiroki Iwata Kenta Umebayashi Ahmed Al-Tahmeesschi Janne Lehtomaki High-Efficiency FCME-Based Noise Power Estimation for Long-Term and Wide-Band Spectrum Measurements
description	Statistics in terms of spectrum occupancy are useful for efficient and smart dynamic spectrum sharing, and the statistics can be obtained by long-term and wide-band spectrum measurements. In this paper, we investigate noise floor (NF) estimation for energy detection (ED)-based long-term and wide-band spectrum measurements since the NF estimation heavily affects the ED performance and eventually the accuracy of the statistics in terms of spectrum occupancy. Specifically, we address the following NF estimation problems simultaneously for the first time in the spectrum measurement field: (1) <italic>slow</italic> time-varying property of the NF, (2) frequency dependency of the NF, (3) the NF estimation in the presence of the signal, and (4) the computational cost of the NF estimation. Firstly, we apply Forward consecutive mean excision (FCME) algorithm-based NF estimation to deal with the above three problems ((1), (2) and (3)) successfully. Second, we propose and apply an NF level change detection on top of the FCME algorithm-based NF estimation to deal with the fourth problem. The proposed NF level change detection exploits the <italic>slow</italic> time-varying property of the NF. Specifically, only if the significant NF level change is detected, the FCME algorithm-based NF estimation is performed to reduce the redundant NF estimations. In numerical evaluations, we show the efficiency and the validity of the NF level change detection for the NF estimation problems, and compare the NF estimation performance with the method without the NF level change detection.
format	article
author	Hiroki Iwata Kenta Umebayashi Ahmed Al-Tahmeesschi Janne Lehtomaki
author_facet	Hiroki Iwata Kenta Umebayashi Ahmed Al-Tahmeesschi Janne Lehtomaki
author_sort	Hiroki Iwata
title	High-Efficiency FCME-Based Noise Power Estimation for Long-Term and Wide-Band Spectrum Measurements
title_short	High-Efficiency FCME-Based Noise Power Estimation for Long-Term and Wide-Band Spectrum Measurements
title_full	High-Efficiency FCME-Based Noise Power Estimation for Long-Term and Wide-Band Spectrum Measurements
title_fullStr	High-Efficiency FCME-Based Noise Power Estimation for Long-Term and Wide-Band Spectrum Measurements
title_full_unstemmed	High-Efficiency FCME-Based Noise Power Estimation for Long-Term and Wide-Band Spectrum Measurements
title_sort	high-efficiency fcme-based noise power estimation for long-term and wide-band spectrum measurements
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/3fa766d616c04bc08b43821ff3adee6b
work_keys_str_mv	AT hirokiiwata highefficiencyfcmebasednoisepowerestimationforlongtermandwidebandspectrummeasurements AT kentaumebayashi highefficiencyfcmebasednoisepowerestimationforlongtermandwidebandspectrummeasurements AT ahmedaltahmeesschi highefficiencyfcmebasednoisepowerestimationforlongtermandwidebandspectrummeasurements AT jannelehtomaki highefficiencyfcmebasednoisepowerestimationforlongtermandwidebandspectrummeasurements
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High-Efficiency FCME-Based Noise Power Estimation for Long-Term and Wide-Band Spectrum Measurements

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