Towards Cognitive Radio in Low Power Wide Area Network for Industrial IoT Applications

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

Abstract

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.
面向工业物联网应用的低功率广域网认知无线电
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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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