University of Oulu

S. P. Sone, J. Lehtomäki, Z. Khan, K. Umebayashi and Z. Javed, "Utilizing Uncertainty of Time Series Prediction in Spectrum Sharing with Radar Systems," 2022 30th Telecommunications Forum (TELFOR), Belgrade, Serbia, 2022, pp. 1-4, doi: 10.1109/TELFOR56187.2022.9983725

Utilizing uncertainty of time series prediction in spectrum sharing with radar systems

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Author: Sone, Su Pyae1; Lehtomäki, Janne1; Khan, Zaheer1;
Organizations: 1Centre for Wireless Communications (CWC), University of Oulu, Finland
2Department of Electrical and Electronic Engineering, Tokyo University of Agriculture and Technology (TUAT), Japan
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.9 MB)
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Language: English
Published: IEEE, 2022
Publish Date: 2023-03-23


Interference prediction with neural networks (NNs) can help in proactive resource management for spectrum sharing in 5.6 GHz radar bands. This can achieve high data rates for secondary users (SUs) of the shared spectrum and enhance the protection of the incumbent radar systems. The recently introduced efficient sharing and radar protection (ESRP) system with interference prediction used NN-based long short-term memory (LSTM) and Monte Carlo (MC) dropout to utilize the uncertainties in the interference from the access point (APs). Due to the random nature of radio propagation, the permissible probability of harmful interference at the radar (ε p ) for the ESRP system varies depending on the MC dropout and prediction intervals (PIs) which represents the amount of uncertainty captured in the system. In this work, we use a gated recurrent unit (GRU) which is simpler and faster than LSTM for interference prediction. We also investigate how the different MC dropout values can vary the parameter ε p and improve the radar protection performance of the ESRP system. The results show that radar protection performance can increase by using GRU and the values of MC dropout play an important role in the ESRP system ensuring better radar protection with a small trade-off for throughput of the SUs which are the APs.

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ISBN: 978-1-6654-7273-9
ISBN Print: 978-1-6654-5195-6
DOI: 10.1109/TELFOR56187.2022.9983725
Host publication: 2022 30th Telecommunications Forum (TELFOR)
Conference: Telecommunications Forum
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This work is supported by the Infotech Oulu, Academy of Finland 6Genesis Flagship, the European Commission in the framework of the H2020-EUJ-02-2018 project 5GEnhance, and by "Strategic Information and Communications R&D Promotion Programme (SCOPE)" of Ministry of Internal Affairs and Communications (MIC) of Japan.
EU Grant Number: (815056) 5G-Enhance - 5G Enhanced Mobile Broadband Access Networks in Crowded Environments
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