Spectrum Decision in Cognitive Radio Networks: A Survey

The ongoing development of mobile communication networks to support a wide range of superfast broadband services has led to massive capacity demand. This problem is expected to be a significant concern during the deployment of the 5G wireless networks. The demand for additional spectrum to accommodate mobile services supporting higher data rates and having lower latency requirements, as well as the need to provide ubiquitous connectivity with the advent of the Internet of Things (IoT) sector, is likely to considerably exceed the supply, based on the current policy of exclusive spectrum allocation to mobile cellular systems. Hence, the imminent spectrum shortage has introduced a new impetus to identify practical solutions to make the most efficient use of the scarce licensed bands in a shared manner. Recently, the concept of dynamic spectrum sharing has received considerable attention from regulatory bodies and governments globally, as it could potentially open new opportunities for mobile operators to exploit spectrum bands whenever they are underutilised by their owners, subject to service level agreements. Although various sharing paradigms have been proposed and discussed, the impact and performance gains of different schemes can be scenario-specific and vary depending on the nature of the sharing parties, the level of sharing and spectrum access scheme. In this survey, we describe the main concepts of dynamic spectrum sharing, different sharing scenarios, as well as the major challenges associated with sharing licensed bands. Finally, we conclude this survey paper with open research challenges and suggest some future research directions

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“…" Spectrum Decision in Cognitive Radio Networks: A Survey" [35] => An overview of CRNs is presented. => Spectrum assignment in CRNs is discussed.…”

Section: Taxonomy Of Spectrum Access Methods and Authorisation Rmentioning

confidence: 99%

“…In [35] and [36], the authors provide a comprehensive survey of challenges related to the spectrum decision/assignment in CRNs, including spectrum characterisation process and primary-system activity modelling, spectrum selection, and reconfiguration.…”

Section: A) Review Of the State-of-the-art (Sota) Survey Articlesmentioning

confidence: 99%

Licensed Spectrum Sharing Schemes for Mobile Operators: A Survey and Outlook

Tehrani

Vahid

Triantafyllopoulou

et al. 2016

IEEE Commun. Surv. Tutorials

191

119

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“…Deciding on the best spectrum band among the available bands under the QoS requirements of the applications is referred to as spectrum decision [8], [67]. In the first step of spectrum decision, statistical PU information and local readings from CRs are used to characterise each band (spectrum characterisation).…”

Section: A Spectrum Decisionmentioning

confidence: 99%

“…6. Spectrum selection is influenced by the underlying CRN topology [67]. In centralised, infrastructure based CRNs with a point-to-multipoint topology the spectrum selection is normally performed at the base station (BS) or access point (AP).…”

Section: ) Spectrum Selectionmentioning

confidence: 99%

Using Cognitive Radio for Interference-Resistant Industrial Wireless Sensor Networks: An Overview

Chiwewe

Mbuya

Hancke

2015

IEEE Trans. Ind. Inf.

138

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Abstract-Industrial wireless sensor networks have to contend with environments that are usually harsh and time varying. Industrial wireless technology, such as WirelessHART and ISA 100.11a, also operates in a frequency spectrum utilised by many other wireless technologies, and with wireless applications rapidly growing it is possible that multiple heterogeneous wireless systems would need to operate in overlapping spatiotemporal regions. Interference such as noise or other wireless devices affects connectivity and reduces communication link quality. This negatively affects reliability and latency, which are core requirements of industrial communication. Building wireless networks that are resistant to noise in industrial environments and can coexist with competing wireless devices in an increasingly crowded frequency spectrum is challenging. To meet these challenges, we need to consider the benefits that approaches finding success in other application areas can offer industrial communication. Cognitive radio methods offer a potential solution to improve resistance of industrial wireless sensor networks to interference. Integrating cognitive radio principles into the lower layers of industrial wireless sensor networks can enable devices to detect and avoid interference and potentially opens the possibility of utilising free radio spectrum for additional communication channels. This improves resistance to noise and increases redundancy in terms of channels per network node or adding additional nodes. In this paper, we summarise cognitive radio methods relevant to industrial applications, covering cognitive radio architecture, spectrum access and interference management, spectrum sensing, dynamic spectrum access, game theory and cognitive radio network security.Index Terms-Cognitive radio, industrial wireless sensor networks, Internet of Things, spectrum management, spectrum sensing.

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“…Several survey papers exist in the literature in the context of CR communications covering a wide range of areas such as spectrum occupancy measurement campaigns [8], Spectrum Sensing (SS) [9]- [13], spectrum management [14], emerging applications [15], spectrum decision [16], spectrum assignment [17], spectrum access strategies [18], resource allocation [19], [20], machine-learning techniques [21] and CR networks [22]. However, to the best of authors' knowledge, no contributions have been reported in the direction of providing a comprehensive review of the existing CR approaches considering practical imperfections.…”

Section: Introductionmentioning

confidence: 99%

Cognitive Radio Techniques Under Practical Imperfections: A Survey

Sharma

Bogale

Chatzinotas

et al. 2015

IEEE Commun. Surv. Tutorials

197

111

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Abstract-Cognitive Radio (CR) has been considered as a potential candidate for addressing the spectrum scarcity problem of future wireless networks. Since its conception, several researchers, academic institutions, industries, regulatory and standardization bodies have put their significant efforts towards the realization of CR technology. However, as this technology adapts its transmission based on the surrounding radio environment, several practical issues may need to be considered. In practice, several imperfections such as noise uncertainty, channel/interference uncertainty, transceiver hardware imperfections, signal uncertainty, synchronization issues, etc. may severely deteriorate the performance of a CR system. To this end, the investigation of realistic solutions towards combating various practical imperfections is very important for successful implementation of the cognitive technology. In this direction, first, this survey paper provides an overview of the enabling techniques for CR communications. Subsequently, it discusses the main imperfections that may occur in the most widely used CR paradigms and then reviews the existing approaches towards addressing these imperfections. Finally, it provides some interesting open research issues.

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Spectrum Decision in Cognitive Radio Networks: A Survey

Cited by 286 publications

References 83 publications

Licensed Spectrum Sharing Schemes for Mobile Operators: A Survey and Outlook

Licensed Spectrum Sharing Schemes for Mobile Operators: A Survey and Outlook

Using Cognitive Radio for Interference-Resistant Industrial Wireless Sensor Networks: An Overview

Cognitive Radio Techniques Under Practical Imperfections: A Survey

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