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Ultra-Reliable Communications for Industrial Internet of Things: Design Considerations and Channel Modeling

 
: Yang, J.Y.; Ai, B.; You, I.; Imran, M.; Wang, L.; Guan, K.; He, D.P.; Zhong, Z.; Keusgen, W.

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IEEE Network 33 (2019), Nr.4, S.104-111
ISSN: 0890-8044
ISSN: 1055-6877
Englisch
Zeitschriftenaufsatz
Fraunhofer HHI ()

Abstract
Factory automation is the next industrial revolution. 5G and IIoT are enabling smart factories to seamlessly create a network of wirelessly connected machines and people that can instantaneously collect, analyze, and distribute real-time data. A 5G-enabled communication network for IIOT will boost overall efficiency, launching a new era of market opportunities and economic growth. This article presents the 5G-enabled system architecture and ultra-reliable use cases in smart factories associated with automated warehouses. In particular, for URLLC-based cases, key techniques and their corresponding solutions, including diversity for high reliability, short packets for low latency, and on-the-fly channel estimation and decoding for fast receiver processing, are discussed. Then the channel modeling requirements concerning technologies and systems are also identified in industrial scenarios. Ray tracing channel simulation can meet such requirements well, and based on that, the channel characteristic analysis is presented at 28 and 60 GHz for licensed and unlicensed band frequencies to exploit the available degrees of freedom in the channels.

: http://publica.fraunhofer.de/dokumente/N-565287.html