Vartiainen, J., Karvonen, H., Matinmikko-Blue, M., Mendes, L., Saarnisaari, H., & Matos, A. (2020). Energy Detection Based Spectrum Sensing for Rural Area Networks. EAI Endorsed Transactions on Wireless Spectrum, 4(13), 163923. https://doi.org/10.4108/eai.7-4-2020.163923
Energy detection based spectrum sensing for rural area networks
|Author:||Vartiainen, Johanna1; Karvonen, Heikki1; Matinmikko-Blue, Marja1;|
1Centre for Wireless Communications, University of Oulu, Finland
2Radiocommunications Research Center, Inatel, Brazil
3Federal University of Ceará, Brazil
|Online Access:||PDF Full Text (PDF, 2.2 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2020050725633
European Alliance for Innovation,
|Publish Date:|| 2020-05-07
Remote and rural areas are a challenge to deploy cost-efficient connectivity solutions. 5G technology needs lower frequencies, which calls for spectrum sharing for local networks. Spectrum sensing could complement traditional database approach for spectrum sharing in these areas. This paper studies a windowing based (WIBA) blind spectrum sensing method and compares its performance to a localization algorithm based on double-thresholding (LAD). Both methods are based on energy detection and can be used in any band for detecting rather narrowband signals. Probabilities of detection and false alarm, relative mean square error, number of detected signals and detection distances were evaluated in multipath, multi-signal and rural area channel conditions. The simulation results show tha the WIBA method is suitable for 5G remote areas, due to its good detection performance in low signal-to-noise ratios (SNR) with low complexity. Results also show importance of the detection window selection.
EAI endorsed transactions on wireless spectrum
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This research has received funding from the European Union Horizon 2020 Programme (H2020/2017-2019) under grant agreement N0. 777137 and from the Ministry of Science, Technology and Innovation of Brazil through Rede Nacional de Ensino e Pesquisa (RNP) under the 4th EU-BR Coordinated Call Information and Communication Technologies through 5G-RANGE project. In addition, this research has been financially supported in part by Academy of Finland 6Genesis Flagship (grant 318927) and CNPq-Brasil.
|EU Grant Number:||
(777137) 5GRANGE - Remote area Access Network for 5th GEneration
|Academy of Finland Grant Number:||
318927 (Academy of Finland Funding decision)
Copyright © 2020 J. Vartiainen et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.