A3 Book section, chapters in research books

4G/LTE Networks for Mission-Critical Operations: A Cognitive Radio Approach


LUT Authors / Editors

Publication Details
Authors: Bazzo J. J., Barros S., Takaki R., Carrillo D., Seki J.
Editors of book: Paradisi, A.; Godoy Souza Mello, A.; Lira Figueiredo, F.; Carvalho Figueiredo, R.
Publication year: 2017
Language: English
Title of parent publication: Cognitive Technologies
ISBN: 978-3-319-53752-8
eISBN: 978-3-319-53753-5
JUFO-Level of this publication: 2
Open Access: Not an Open Access publication

Abstract

Cognitive radio is an advanced technology being used to improve the efficiency of spectrum usage, as well as to sense the environment and change its radio parameters to avoid interference with primary users (PU) or secondary users (SU). This strategy can also be applied to avoid jamming interference in military defense networks. Also, while LTE (Long-Term Evolution) technology has been successfully deployed worldwide for broadband civil applications, it has also evolved to support Public Safety and National Defense applications. Security and QoS (Quality of Service) features have proven to be especially useful when applied to the Defense sector, but fail to provide protection against intentional jamming attacks, which can interrupt OTA (Over-the-Air) communications. So far, there is no formal 3GPP (3rd Generation Partnership Project) report addressing the jamming issue, although mechanisms to mitigate OTA vulnerabilities have been proposed in the literature, mainly by authors suggesting changes in the LTE physical layer standard. This paper presents two innovative strategies based on cognitive radio technology to prevent jamming attacks, without the need to implement changes in the 3GPP standard or in the base station/terminal hardware. These advantages can accelerate the deployment and reduce the costs using the same infrastructure equipment. A computational simulation is performed in order to compare scenarios involving Cell Frequency Reconfiguration and Frequency Hopping Strategies. Performance results are shown considering video streaming service with different jamming scenarios.


Last updated on 2019-22-01 at 10:55