Dynamic spectrum access with traffic prioritization in Cognitive Radio networks

Safwat, Mahammad A.

doi:10.1109/isncc.2015.7238574

Cited by 5 publications

(2 citation statements)

References 12 publications

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“…In this research, the overlay scheme is adopted where spectrum sensing recognizes the empty channels to be assigned to incoming SUs. In addition to that, it is worth mentioning that the PU has the higher privilege than the SU services [5] so, whenever PU arrives the SU will vacate the channel and perform spectrum handover to a reserved channel to resume its unfinished service if an idle channel is available, otherwise, SU will be forced terminated out of the network [6]. Therefore, the channel reservation strategy is applied extensively to allocate some channels for particular users to enhance the efficiency of the system [6], [7].…”

Section: Introductionmentioning

confidence: 99%

Centralized Dynamic Channel Reservation Mechanism via SDN for CR Networks Spectrum Allocation

et al. 2020

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In cognitive radio networks (CRNs), secondary users (SUs) transmission requests are fulfilled via the use of portions of the licensed bandwidth dedicated to primary users (PUs). Meanwhile, through spectrum sharing of dynamic spectrum access (DSA), the PUs gain either financial benefits or cooperative communications. Due to the fact that the spectrum bandwidth resources are restricted hence; the dynamic allocation requests have become the focus of attention in recent years. Therefore, the dynamic channel reservation (DCR) in CRNs has a significant influence on improving network performance via the adjustment of the optimal number of reserved channels. Also, the centralized control (central controller) with a software-defined network (SDN) can be employed effectively to manage configuration, simplify the complexities, and develop dynamic coordination between the users in the network. In this paper, two algorithms of DCR are investigated to determine the optimal number of reserved channels based on SU retainability or SU channel availability while taking into consideration PU's channel availability minimum limit in both cases. Performance metrics in both cases indicate the enhancement in system quality of service (QoS). Moreover, the results show a significant reduction in SU cost function and network unserviceable probability (), while meeting the QoS requirements of PU through a minor inconsiderable impact on its channel availability and throughput compared to other previous models. In this paper, a proposed DCR algorithm is designed for selecting one of the two modes of operation depending on the incoming traffic requests to attain better performance characteristics. INDEX TERMS Cognitive radio networks, Dynamic channel reservation, Software defined network, Retainability, SU cost function.

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Section: Introductionmentioning

confidence: 99%

Centralized Dynamic Channel Reservation Mechanism via SDN for CR Networks Spectrum Allocation

et al. 2020

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“… There are six algorithms and theories used commonly in SDM: a) Game theory [146]; b) Graph theory [142]; c) Linear programming [91]; d) Heuristics [78]; e) Evolutionary algorithms [147]; and f) Fuzzy logic [194]. [195]; b) Traffic prioritization methods [196]; c) Spectrum leasing strategies [197]; d) Underlay spectrum access strategy [198]; e) Hybrid (Overlay and Underlay) spectrum access strategy [199]; f) MIMO Overlay CRNs [200]; g) MIMO Underlay CRNs [201]; and h) MIMO Hybrid CRNs [202]. It is important to mention that the selection of spectrum access strategy (Overlay, Underlay or Hybrid) is one of a number of spectrum sharing component functions which may be selected according to the expected performance on the selected channel [203].…”

Section: Introduction To the Spectrum Decision Elementsmentioning

confidence: 99%

Comprehensive Survey on Quality of Service Provisioning Approaches in Cognitive Radio Networks: Part One

Fakhrudeen

Alani

2017

Int J Wireless Inf Networks

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Much interest in Cognitive Radio Networks (CRNs) has been raised recently by enabling unlicensed (secondary) users to utilize the unused portions of the licensed spectrum. CRN utilization of residual spectrum bands of Primary (licensed) Networks (PNs) must avoid harmful interference to the users of PNs and other overlapping CRNs. The coexisting of CRNs depends on four components: Spectrum Sensing, Spectrum Decision, Spectrum Sharing, and Spectrum Mobility. Various approaches have been proposed to improve Quality of Service (QoS) provisioning in CRNs within fluctuating spectrum availability. However, CRN implementation poses many technical challenges due to sporadic usage of licensed spectrum bands, which will be increased after deploying CRNs. Unlike traditional surveys of CRNs, this paper addresses QoS provisioning approaches of CRN components and provides an up-to-date comprehensive survey of recent improvement in these approaches. Major features of the open research challenges of each approach are investigated. Due to the extensive nature of the topic, this paper is the first part of the survey which investigates QoS approaches on spectrum sensing and decision components respectively. The remaining approaches of spectrum sharing and mobility components will be investigated in the next part.

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A New Energy Efficiency/Spectrum Efficiency Model for Cooperative Cognitive Radio Network

et al. 2018

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Dynamic spectrum access with traffic prioritization in Cognitive Radio networks

Cited by 5 publications

References 12 publications

Centralized Dynamic Channel Reservation Mechanism via SDN for CR Networks Spectrum Allocation

Centralized Dynamic Channel Reservation Mechanism via SDN for CR Networks Spectrum Allocation

Comprehensive Survey on Quality of Service Provisioning Approaches in Cognitive Radio Networks: Part One

A New Energy Efficiency/Spectrum Efficiency Model for Cooperative Cognitive Radio Network

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