面向工业物联网应用的低功率广域网认知无线电

A. Onumanyi, A. Abu-Mahfouz, G. Hancke
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引用次数: 7

摘要

本文讨论了基于通用网络架构和物理层前端模型的认知无线电(CR)在低功耗广域网(LPWAN)中的集成。从本质上讲,由于大多数现有的LPWAN技术本质上是专有的,因此有必要提出可能刺激更新发展的见解,以增强许多基于物联网(IoT)的应用,包括工业物联网(IIoT)应用,如智能工厂、智能计量和智能城市架构。一般来说,本文将使那些可能寻求开发CR-LPWAN系统以增强基于物联网的应用的研究人员受益。
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Towards Cognitive Radio in Low Power Wide Area Network for Industrial IoT Applications
In this paper, we have discussed the integration of Cognitive Radio (CR) in Low Power Wide Area Network (LPWAN) based on a generic network architecture and a PHY layer front-end model. Essentially, since most existing LPWAN technologies are proprietary in nature, it is necessary to present insights that may spur newer developments to enhance many Internet of Things (IoT)-based applications, including Industrial IoT (IIoT) applications such as smart factories, smart metering, and smart city architectures. Generally, this paper will benefit researchers who may be seeking to develop CR-LPWAN systems towards enhancing IoT-based applications.
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