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A Study on Green Energy Powered Cognitive Radio Network for Communication Network Architecture of Smart Grid

机译:智能电网通信网络架构中的绿色能源认知无线电网络研究

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High information rate applications in smart grid can incredibly increase energy consumption, which has incited to an emerging trend of addressing the energy efficiency aspect of communication technology. Green energy powered cognitive radio (Green-CR) network is important technology to meet the high information rate prerequisites as well as to improve spectrum and energy efficiency. However, designing Green-CR networks for smart grid is challenging as it requires not only the optimization of dynamic spectrum access but also the optimal utilization of green energy sources. In this paper, spectrum aware and energy efficient Green-CR network model is introduced to overcome spatio-temporally varying spectrum characteristics and harsh environmental conditions for smart grid applications. Subsequent to presenting fundamental outline standards potential advantages and network architecture of Green-CR, a multi layered approach with small cells for efficient design methodology is proposed to provide energy efficient CR network at the smart grid utility.
机译:智能电网中的高信息速率应用会极大地增加能耗,这引发了解决通信技术能效方面的新兴趋势。绿色能源动力认知无线电(Green-CR)网络是满足高信息速率先决条件以及提高频谱和能效的重要技术。但是,为智能电网设计Green-CR网络面临挑战,因为它不仅需要动态频谱访问的优化,而且还需要绿色能源的最佳利用。在本文中,引入了频谱感知和高能效的Green-CR网络模型,以克服时空变化的频谱特征和恶劣的智能电网应用环境条件。在介绍基本轮廓标准潜在的优势和Green-CR的网络体系结构之后,提出了一种采用小型小区的多层方法进行有效设计的方法,旨在为智能电网公司提供节能CR网络。

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