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Guaranteeing QoS using Unlicensed TV White Spaces for Smart Grid Applications

机译:使用未经许可的电视空白区域为智能电网保证Qos  应用

摘要

In this paper, we consider the utilization of TV White Spaces (TVWS) by smallCognitive Radio (CR) network operators to support the communication needs ofvarious smart grid applications. We first propose a multi-tier communicationnetwork architecture for smart metering applications in dense urbanenvironments. Our measurement campaign, without any competition from other CRoperators, reveals that the communication architecture can achieve more than1Mbps data rates using the free unlicensed TVWS spectrum. However, anticipatingstiff competition for the unlicensed TVWS spectrum among CR operators and tosupport smart grid applications with stringent Quality of Service (QoS)requirements, we further exploit the novel idea of high priority channels (HPC)that the CR operator can temporarily lease by paying a small fee. This posesseveral new challenges for the CR operators, such as, their economic viabilitywhile providing QoS guarantees. We develop a real-time decision supportframework with several adjustable parameters for the CR operators that enablesthem to tradeoff HPC leasing cost and QoS. The developed algorithms are simplerules that provide significant opportunities to the CR operators to maintain abalance between spectrum cost and QoS depending on dynamic spectrumavailability and smart grid application requirements.
机译:在本文中,我们考虑小型认知无线电(CR)网络运营商利用电视空白空间(TVWS)来满足各种智能电网应用程序的通信需求。我们首先提出一种用于密集城市环境中智能电表应用的多层通信网络架构。我们的测量活动在没有其他CRoperator竞争的情况下显示,该通信体系结构可以使用免费的未经许可的TVWS频谱实现超过1Mbps的数据速率。但是,由于预期CR运营商之间会竞争无牌TVWS频谱,并为了满足严格的服务质量(QoS)要求来支持智能电网应用,我们进一步采用了CR运营商可以通过支付一定费用来临时租用的高优先级信道(HPC)的新想法。小费。这给CR运营商带来了许多新的挑战,例如在提供QoS保证的同时,其经济可行性。我们为CR运营商开发了具有多个可调参数的实时决策支持框架,使他们能够权衡HPC租赁成本和QoS。所开发的算法是简单规则,可为CR运营商提供大量机会,以根据动态频谱可用性和智能电网应用需求,在频谱成本和QoS之间保持平衡。

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