University of Oulu

H. Iwata, K. Umebayashi, A. Al-Tahmeesschi, S. Joshi, M. Lopez-Benitez and J. J. Lehtomaki, "A Study on High-Efficiency Energy Detection-Based Spectrum Measurements," 2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW), Seoul, Korea (South), 2020, pp. 1-6, doi: 10.1109/WCNCW48565.2020.9124906

A study on high-efficiency energy detection-based spectrum neasurements

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Author: Iwata, Hiroki1; Umebayashi, Kenta1; Al-Tahmeesschi, Ahmed1;
Organizations: 1Dept. of Electrical and Electronic Engineering, Tokyo University of Agriculture and Technology, Japan
2Centre for Wireless Communications, University of Oulu
3Dept. of Electrical Engineering and Electronics, University of Liverpool, United Kingdom
4ARIES Research Centre, Antonio de Nebrija University, Spain
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.2 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2020
Publish Date: 2020-10-26


Statistical information in terms of spectrum occupancy is useful for the efficient and smart dynamic spectrum sharing, and it can be obtained by long-term, broadband, and wide-area spectrum measurements. In this paper, we investigate an energy detection (ED)-based spectrum measurements, in which the noise floor (NF) estimation is a key functionality for the appropriate ED threshold setting. Typically, the NF has the slowly time- varying property and frequency-dependency, and several NF estimation algorithms, including forward consecutive mean excision (FCME) algorithm-based method, have been proposed. However, these methods did not deeply consider the slowly time varying property of the NF and is computationally inefficient. Accordingly, we propose a computational complexity reduction algorithm based on NF level change detection. This algorithm is computationally efficient, since it skips the NF estimation process when the NF does not change. In numerical evaluations, we show the efficiency and the validity of the proposed algorithm.

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ISBN: 978-1-7281-5178-6
ISBN Print: 978-1-7281-5179-3
Pages: 1 - 6
Article number: 9124906
DOI: 10.1109/WCNCW48565.2020.9124906
Host publication: 2020 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2020
Conference: IEEE Wireless Communications and Networking Conference Workshops
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This work was supported by the European Commission in the framework of the H2020-EUJ-02-2018 project 5GEnhance (Grant agreement no. 815056) and the Ministry of Internal Affairs and Communications (MIC) of Japan and the JSPS KAKENHI Grant Numbers JP18K04124 and JP18KK0109. The work of J. Lehtomäki was funded by the Infotech Oulu and also by the Academy of Finland 6Genesis Flagship.
EU Grant Number: (815056) 5G-Enhance - 5G Enhanced Mobile Broadband Access Networks in Crowded Environments
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