University of Oulu

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

Saved in:
Author: Vartiainen, Johanna1; Karvonen, Heikki1; Matinmikko-Blue, Marja1;
Organizations: 1Centre for Wireless Communications, University of Oulu, Finland
2Radiocommunications Research Center, Inatel, Brazil
3Federal University of Ceará, Brazil
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 2.2 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2020050725633
Language: English
Published: European Alliance for Innovation, 2020
Publish Date: 2020-05-07
Description:

Abstract

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.

see all

Series: EAI endorsed transactions on wireless spectrum
ISSN: 2312-6620
ISSN-E: 2312-6620
ISSN-L: 2312-6620
Volume: 4
Issue: 13
Article number: e6
DOI: 10.4108/eai.7-4-2020.163923
OADOI: https://oadoi.org/10.4108/eai.7-4-2020.163923
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
Funding: 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.
Academy of Finland Grant Number: 318927
Detailed Information: 318927 (Academy of Finland Funding decision)
Copyright information: 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.
  https://creativecommons.org/licenses/by/3.0/