H. Iwata, K. Umebayashi, A. Al-Tahmeesschi, M. López-Benítez and J. J. Lehtomäki, "Time and Frequency Varying Noise Floor Estimation for Spectrum Usage Measurement," 2019 IEEE Wireless Communications and Networking Conference Workshop (WCNCW), Marrakech, Morocco, 2019, pp. 1-6. doi: 10.1109/WCNCW.2019.8902886
Time and frequency varying noise floor estimation for spectrum usage measurement
|Author:||Iwata, Hiroki1; Umebayashi, Kenta1; Al-Tahmeesschi, Ahmed1;|
1Dept. of Electrical and Electronic Engineering, Tokyo University of Agriculture and Technology, Japan
2Dept. of Electrical Engineering and Electronics, University of Liverpool, United Kingdom
3Centre for Wireless Communications, University of Oulu
|Online Access:||PDF Full Text (PDF, 0.3 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe202002185705
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2020-02-18
We investigate noise floor (NF) estimation for FFT-ED (Energy Detection based on FFT)-based spectrum usage measurement in the context of smart spectrum access (SSA), in which spectrum usage information of primary users (PUs), such as channel occupancy rate (COR), will be exploited by secondary users (SUs). In FFT-ED, the NF has to be estimated to set a decision threshold for ED appropriately. In general, the NF is frequency-dependent and its level changes with time leading to the need of estimating the NF regularly while performing the spectrum usage measurement. In this paper, we propose an NF estimation method which exploits prior information regarding the shape of NF and forward consecutive mean excision (FCME) algorithm. Numerical and experimental evaluations show the proposed method enables an accurate NF estimation considering the time and frequency dependencies of the NF. Moreover, we show the proposed method can obtain the almost desired detection performance, but can not the comparative method (the original FCME method).
|Pages:||1 - 6|
2019 IEEE Wireless Communications and Networking Conference Workshop (WCNCW), 15-18 April 2019, Marrakech, Morocc
IEEE Wireless Communications and Networking Conference Workshop
|Type of Publication:||
A4 Article in conference proceedings
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
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 M. López-Benítez was supported by British Council under UKIERI DST Thematic Partnerships 2016-17 (ref. DST-198/2017). The work of J. Lehtomäki was supported by the Academy of Finland 6Genesis Flagship (grant no. 318927).
|EU Grant Number:||
(815056) 5G-Enhance - 5G Enhanced Mobile Broadband Access Networks in Crowded Environments
|Academy of Finland Grant Number:||
318927 (Academy of Finland Funding decision)
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