Proactive radar protection system in shared spectrum via forecasting secondary user power levels |
|
Author: | Sone, Su P.1; Lehtomäki, Janne1; Khan, Zaheer1; |
Organizations: |
1Centre for Wireless Communications (CWC), University of Oulu, 90014 Oulu, Finlad 2Umebayashi Laboratory, Department of Electrical and Electronic Engineering, Tokyo University of Agriculture and Technology, Tokyo 184-8588, Japan |
Format: | article |
Version: | published version |
Access: | open |
Online Access: | PDF Full Text (PDF, 1.1 MB) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe2022082656512 |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers,
2022
|
Publish Date: | 2022-08-26 |
Description: |
AbstractSpectrum sharing in radar bands with interference forecasting for enhanced radar protection can help design proactive resource allocation solutions which can achieve high data rates for wireless communication networks on one hand and help protect the incumbent radar systems. We consider radar spectrum sharing in 5.6GHz where a weather radar operates as a primary system and the dominant secondary system is an enterprise network consisting of access points (APs) in a university campus. Our work models transmit the power of the APs as a time series with multinomial distribution based on real collected data. The aggregated interference due to the transmissions from the APs at the radar is forecasted using a long short-term memory (LSTM) based neural network. Monte Carlo dropout is utilized to generate prediction intervals that capture the uncertainties in the interference from the APs. Finally, by using both average and upper limits of predicted interference time series a cloud-assisted efficient sharing and radar protection algorithm is proposed. Tracking the rotating radar is not required in the proposed system. The results show that the proposed efficient sharing and radar protection system ensures better radar protection and increased throughput for wireless communication users. see all
|
Series: |
IEEE access |
ISSN: | 2169-3536 |
ISSN-E: | 2169-3536 |
ISSN-L: | 2169-3536 |
Volume: | 10 |
Pages: | 40367 - 40380 |
DOI: | 10.1109/access.2022.3166844 |
OADOI: | https://oadoi.org/10.1109/access.2022.3166844 |
Type of Publication: |
A1 Journal article – refereed |
Field of Science: |
213 Electronic, automation and communications engineering, electronics |
Subjects: | |
Funding: |
This work was supported in part by the Infotech Oulu, and in part by the Academy of Finland 6Genesis Flagship under Grant 318927. |
Academy of Finland Grant Number: |
318927 |
Detailed Information: |
318927 (Academy of Finland Funding decision) |
Copyright information: |
© The Author(s) 2022. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/. |
https://creativecommons.org/licenses/by/4.0/ |