5G-based wideband cognitive radio system design with cooperative spectrum sensing

Liu, Xin; He, Dongyue; Jia, Min

doi:10.1016/j.phycom.2017.09.010

Cited by 34 publications

(13 citation statements)

References 17 publications

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“…25 However, for CR to effectively manage available frequency spectrum, it has to be able to make an opportunistic decision about it radio environments from previous experiences. 47 Primarily, a CRN or CR related/enabled/assisted network usually comprise of smart devices that are capable of dynamically modifying system parameters for efficient bandwidth utilization. 25 Moreover, these devices are intelligent enough to make opportunistic decision by detecting users' communication needs.…”

Section: Cr: An Overviewmentioning

confidence: 99%

A review of industrial wireless communications, challenges, and solutions: A cognitive radio approach

Oyewobi

Djouani

Kurien

2020

Trans Emerging Tel Tech

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Integral and crucial to performance of wireless sensor networks (WSNs), and specifically industrial wireless sensor network (IWSN) is stable, robust, reliable, and ubiquitous communications system. Though, wired communications system is suitable for industrial communications and is resilient to shadowing and multipath fading effects of industrial‐WSN environments, yet its wireless counterpart is a much preferred industrial communications technology due to reduced cost and high flexibility which it offers in comparison to wired communications. However, overcrowding of the industrial, scientific, and medical band, where IWSN is deployed together with other heterogeneous technologies, as well as resultant scarcity of usable frequency spectrum has restrained exclusive application of wireless technology for industrial communications. Nonetheless, cognitive radio (CR) has ability to increase spectrum utilization efficiency and channel capacity for industrial wireless communications (IWC) through opportunistic/dynamic spectrum access (DSA) technique. In this review article, we examine how DSA can benefit IWC through exploitation of new perspectives of white space definitions in the licensed bands as well as unlicensed bands. While discussing the potential of DSA for IWC, we have considered the unique characteristics of IWC as well as technical challenges and issues imposed by industrial‐WSN. Accordingly, we have suggested and proffered appropriate CR‐based solutions in mitigating some of the challenges where necessary.

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Section: Cr: An Overviewmentioning

confidence: 99%

A review of industrial wireless communications, challenges, and solutions: A cognitive radio approach

Oyewobi

Djouani

Kurien

2020

Trans Emerging Tel Tech

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“…The underlying motivation for using wideband sensing for CR networks is the desire to obtain as much vacant spectrum resources as possible in a simultaneous manner. Much of the focus has been placed in wideband sensing techniques on the signal reconstruction and detection decision making process [13][14][15].…”

Section: Existing Spectrum Sensingmentioning

confidence: 99%

Cognitive‐Empowered Femtocells: An Intelligent Paradigm for Femtocell Networks

Wang

Wong

et al. 2018

Wireless Communications and Mobile Computing

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Deploying femtocells has been taken as an effective solution for removing coverage holes and improving wireless service performance in 3G-beyond wireless networks such as WiMAX and Long Term Evolution (LTE). This article investigates a novel framework of dynamic spectrum management for femtocell networks, called cognitive-empowered femtocells (CEF), aiming at mitigating both cross-tier and intratier interferences with minimum modifications required on the corresponding macrocell network. With the proposed framework, each CEF base station (BS) and the femtocell users can utilize spatiotemporally available radio resources for the access traffic. We conclude that the proposed CEF framework can effectively complement the existing femtocell design and serve as a value-added feature to the state-of-the-art femtocell technologies, while achieving high scalability and interoperability by minimizing the required modifications on the macrocell protocol design.

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“…Energy detection (ED) is a cost-efficient sensing technique that is recommended to be used especially in cooperative sensing, where users collaborate and exchange their sensing information [17]. 5G cooperative sensing based on ED methods has been studied, for example, in [18]. The problem is that conventional ED does not perform well at low SNR values.…”

Section: Introductionmentioning

confidence: 99%

Energy Detection Based Spectrum Sensing for Rural Area Networks

Vartiainen¹,

Karvonen²,

Matinmikko-Blue³

et al. 2020

EAI Endorsed Transactions on Wireless Spectrum

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Remote and rural areas are a challenge to deploy cost-efficient connectivity solutions. 5G technology needs lower frequencies, which calls for spectrum sharing for local networks. Spectrum sensing could complement traditional database approach for spectrum sharing in these areas. This paper studies a windowing based (WIBA) blind spectrum sensing method and compares its performance to a localization algorithm based on double-thresholding (LAD). Both methods are based on energy detection and can be used in any band for detecting rather narrowband signals. Probabilities of detection and false alarm, relative mean square error, number of detected signals and detection distances were evaluated in multipath, multi-signal and rural area channel conditions. The simulation results show tha the WIBA method is suitable for 5G remote areas, due to its good detection performance in low signal-to-noise ratios (SNR) with low complexity. Results also show importance of the detection window selection.

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5G-based wideband cognitive radio system design with cooperative spectrum sensing

Cited by 34 publications

References 17 publications

A review of industrial wireless communications, challenges, and solutions: A cognitive radio approach

A review of industrial wireless communications, challenges, and solutions: A cognitive radio approach

Cognitive‐Empowered Femtocells: An Intelligent Paradigm for Femtocell Networks

Energy Detection Based Spectrum Sensing for Rural Area Networks

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