Cognitive Radio in Low Power Wide Area Network for IoT Applications : Recent Approaches, Benefits and Challenges

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21 Scopus Citations
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Detail(s)

Original languageEnglish
Pages (from-to)7489-7498
Journal / PublicationIEEE Transactions on Industrial Informatics
Volume16
Issue number12
Online published28 Nov 2019
Publication statusPublished - Dec 2020

Abstract

Some recent survey statistics suggest that low power wide area networks (LPWANs) are fast becoming the most prevalent communication platform used in many applications of the Internet of Things (IoT). However, because most LPWANs are generally deployed in the presently congested industrial, scientific, and medical bands, they are invariably plagued by problems associated with spectral congestion, such as increased interference, reduced data rates, and spectra inefficiency. These problems are solvable by integrating cognitive radio (CR) technologies in LPWAN (termed CR-LPWAN), for which some pioneering solutions now exist in the literature. Consequently, this article takes an early look at some of these pioneering efforts pertaining to the development of CR-LPWAN systems. We discuss a general network architecture and a physical layer front-end model suitable for CR-LPWAN systems. Then, some notable state-of-the-art approaches for CR-LPWAN systems are discussed. Potential advantages of CR-LPWAN systems for IoT-based applications are also presented, and this article closes with a few research challenges and future research directions in this regard. This article aims to serve as a starting point for most budding researchers who may be interested in the development of effective and efficient CR-LPWAN systems for the enhancement of different IoT-based applications.

Research Area(s)

  • Standards, Internet of Things, Cognitive radio, White spaces, Wireless sensor networks, Informatics, Wide area networks, industrial, low power wide area network (LPWAN), survey, ALGORITHMS

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