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Low Power Wide Area Network Cognitive Radio and the Internet of Things: Potentials for Integration

机译:低电源广域网认知收音机和物联网:集成的潜力

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摘要

The Internet of Things (IoT) is an emerging paradigm that enables many beneficial and prospective application areas, such as smart metering, smart homes, smart industries, and smart city architectures, to name but a few. These application areas typically comprise end nodes and gateways that are often interconnected by low power wide area network (LPWAN) technologies, which provide low power consumption rates to elongate the battery lifetimes of end nodes, low IoT device development/purchasing costs, long transmission range, and increased scalability, albeit at low data rates. However, most LPWAN technologies are often confronted with a number of physical (PHY) layer challenges, including increased interference, spectral inefficiency, and/or low data rates for which cognitive radio (CR), being a predominantly PHY layer solution, suffices as a potential solution. Consequently, in this article, we survey the potentials of integrating CR in LPWAN for IoT-based applications. First, we present and discuss a detailed list of different state-of-the-art LPWAN technologies; we summarize the most recent LPWAN standardization bodies, alliances, and consortia while emphasizing their disposition towards the integration of CR in LPWAN. We then highlight the concept of CR in LPWAN via a PHY-layer front-end model and discuss the benefits of CR-LPWAN for IoT applications. A number of research challenges and future directions are also presented. This article aims to provide a unique and holistic overview of CR in LPWAN with the intention of emphasizing its potential benefits.
机译:事物互联网(物联网)是一种新兴范式,使许多有益和预期的应用领域能够,例如智能计量,智能家庭,智能行业和智能城市架构,而且少数人。这些应用领域通常包括终端节点和网关通常由低功率广域网(LPWAN)技术互连,这提供了低功耗速率,以延长终端节点的电池寿命,低IOT设备开发/购买成本,传输范围长,并提高可扩展性,尽管在低数据速率下。然而,大多数LPWAN技术通常面临许多物理(PHY)层挑战,包括增加的干扰,光谱效率和/或低数据速率,其中认知无线电(CR)是主要的PHY层解决方案,就像一个潜在的解决方案。因此,在本文中,我们调查了在LPWAN中集成了基于IOT的应用程序的潜力。首先,我们展示并讨论了不同最先进的LPWAN技术的详细列表;我们总结了最近的LPWAN标准化机构,联盟和联盟,同时强调他们对LPWAN中CR的整合。然后,我们通过PHY层前端模型突出了LPWAN中CR的概念,并讨论了CR-LPWAN为物联网应用程序的好处。还提出了许多研究挑战和未来的方向。本文旨在提供LPWAN中的CR独特而全面概述,目的是强调其潜在利益。

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