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Distributed signal processing for dense 5G IoT platforms: Networking, synchronization, interference detection and radio sensing

机译:密集5G IOT平台的分布式信号处理:网络,同步,干扰检测和无线电感测

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Driven by the fourth industrial revolution (Industry 4.0), future and emerging Internet of Things (IoT) technologies will be required to support unprecedented services and demanding applications for massive machine-type connectivity, with low latency, high reliability and distributed information processing capability. In this article, distributed signal processing methodologies are highlighted as enablers for next generation cloud-assisted IoT systems. The proposed distributed algorithms run inside a wireless cloud network (WCN) platform and are exploited for WCN self-organization, distributed synchronization, networking and sensing. The WCN can lease augmented communication and sensing services to off-the-shelf industrial wireless devices via a dense, self-organizing "cloud" of wireless nodes. The paper introduces, at first, the WCN architecture and illustrates an experimental case study inside a pilot industrial plant. Next, it proposes a re-design of consensus-based algorithms for enabling a selected set of distributed information processing functionalities within the WCN platform, with application in practical loT scenarios. In particular, cooperative communication algorithms are adopted to support reliable communication services. Distributed timing and carrier frequency offset estimation methods are investigated to enable low-latency services through accurate synchronization. Autonomous identification of recurring interference patterns is proposed for multiple access coordination in the shared 5G spectrum. Finally, localization and vision applications based on distributed processing of wireless signals are investigated to support contact-free human-machine interfaces. (C) 2019 Elsevier B.V. All rights reserved.
机译:由第四个工业革命(行业4.0),未来和新兴的东西(IOT)技术推动,将需要支持前所未有的服务和苛刻的应用,以实现大量机床型连接,具有低延迟,高可靠性和分布式信息处理能力。在本文中,分布式信号处理方法被突出显示为下一代云辅助物联网系统的启动器。所提出的分布式算法在无线云网络(WCN)平台内运行,并利用WCN自组织,分布式同步,网络和传感。 WCN可以通过密集的自我组织的无线节点的“云”将增强的通信和传感服务租赁到现成的工业无线设备。本文首先介绍了WCN建筑,并说明了试点工业厂房内的实验案例研究。接下来,它提出了重新设计基于共识的算法,用于启用WCN平台中的选定的分布式信息处理功能,具有在实用的批次方案中的应用程序。特别地,采用协同通信算法来支持可靠的通信服务。研究了分布式定时和载波频率偏移估计方法,通过精确同步实现低延迟服务。提出了共享5G频谱中的多次访问协调的自主识别。最后,研究了基于无线信号的分布式处理的本地化和视觉应用,以支持无接触的人机界面。 (c)2019 Elsevier B.v.保留所有权利。

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