Adaptive threshold techniques for cognitive radio‐based low power wide area network

dc.contributor.authorOnumanyi, A.J. (Adeiza)
dc.contributor.authorAbu-Mahfouz, Adnan Mohammed
dc.contributor.authorHancke, Gerhard P.
dc.date.accessioned2020-05-07T09:57:53Z
dc.date.issued2020-04
dc.description.abstractSome low power wide area network (LPWAN) developers such as Sigfox, Weightless, and Nwave, have recently commenced the integration of cognitive radio (CR) techniques in their respective LPWAN technologies, generally termed CR‐LPWAN systems. Their objective is to overcome specific limitations associated with LPWANs such as spectra congestion and interference, which in turn will improve the performance of many Internet of Things (IoT)‐based applications. However, in order to be effective under dynamic sensing conditions, CR‐LPWAN systems are typically required to adopt adaptive threshold techniques (ATTs) in order to improve their sensing performance. Consequently, in this article, we have investigated some of these notable ATTs to determine their suitability for CR‐LPWAN systems. To accomplish this goal, first, we describe a network architecture and physical layer model suitable for the effective integration of CR in LPWAN. Then, some specific ATTs were investigated following this model based on an experimental setup constructed using the B200 Universal Software Radio Peripheral kit. Several tests were conducted, and our findings suggest that no single ATT was able to perform best under all sensing conditions. Thus, CR‐LPWAN developers may be required to select a suitable ATT only based on the specific condition(s) for which the IoT application is designed. Nevertheless, some ATTs such as the forward consecutive mean excision algorithm, the histogram partitioning algorithm and the nonparametric amplitude quantization method achieved noteworthy performances under a broad range of tested conditions. Our findings will be beneficial to developers who may be interested in deploying effective ATTs for CR‐LPWAN systems.en_ZA
dc.description.departmentElectrical, Electronic and Computer Engineeringen_ZA
dc.description.embargo2021-04-01
dc.description.librarianhj2020en_ZA
dc.description.urihttp://wileyonlinelibrary.com/journal/etten_ZA
dc.identifier.citationOnumanyi AJ, Abu-Mahfouz AM, Hancke GP. Adaptive threshold techniques for cognitive radio-based low power wide area network. Transactions on Emerging Telecommunications Technologies 2020;31:e3908. https://doi.org/10.1002/ett.3908.en_ZA
dc.identifier.issn2161-3915 (online)
dc.identifier.other10.1002/ett.3908
dc.identifier.urihttp://hdl.handle.net/2263/74509
dc.language.isoenen_ZA
dc.publisherWileyen_ZA
dc.rights© 2020 John Wiley & Sons Lt d. This is the pre-peer reviewed version of the following article : Adaptive threshold techniques for cognitive radio-based low power wide area network. Transactions on Emerging Telecommunications Technologies 2020;31:e3908. https://doi.org/10.1002/ett.3908. The definite version is available at : http://wileyonlinelibrary.com/journal/ett.en_ZA
dc.subjectLow power wide area network (LPWAN)en_ZA
dc.subjectCognitive radio (CR)en_ZA
dc.subjectAdaptive threshold technique (ATT)en_ZA
dc.titleAdaptive threshold techniques for cognitive radio‐based low power wide area networken_ZA
dc.typePostprint Articleen_ZA

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