Abstract
Future cellular systems are expected to revolutionize today's industrial ecosystem by satisfying the stringent requirements of ultra-high reliability and extremely low latency. Along these lines, the core technology to support the next-generation factory automation deployments is the use of millimeter-wave (mmWave) communication that operates at extremely high frequencies (i.e., from 10 to 100 GHz). However, characterizing the radio propagation behavior in realistic factory environments is challenging due to shorter mmWave wavelengths, which make channel properties be sensitive to the actual topology and size of the surrounding objects. For these reasons, this paper studies the important mmWave channel properties for two distinct types of factories, namely, light industry and heavy industry. These represent the extreme cases of factory classification based on the level of technology, the density and the size of the equipment, and the goods produced. Accordingly, we assess the candidate mmWave frequencies of 28 and 60 GHz for licensed-and unlicensed-band communication, respectively. After analyzing the signal propagation (e.g., in terms of path loss) and the line-of-sight (LoS) probability, our understanding is that in a factory automation environment the presence of metallic equipment and various objects produces many dissimilarities in the mmWave channel properties, thus making them difficult to describe with conventional empirical or stochastic models. Our findings suggest that the deployment of the practical mmWave systems in indoor industrial environments should not therefore rely on past propagation studies available in the literature blindly but might take into account more accurate and reliable evaluation of the environment that is possible with ray-based simulations.
| Original language | English |
|---|---|
| Title of host publication | 2018 IEEE Wireless Communications and Networking Conference, WCNC 2018 |
| Publisher | IEEE |
| Pages | 1-6 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781538617342 |
| DOIs | |
| Publication status | Published - 8 Jun 2018 |
| Publication type | A4 Article in conference proceedings |
| Event | IEEE Wireless Communications and Networking Conference - Duration: 1 Jan 1900 → … |
Publication series
| Name | |
|---|---|
| ISSN (Electronic) | 1558-2612 |
Conference
| Conference | IEEE Wireless Communications and Networking Conference |
|---|---|
| Period | 1/01/00 → … |
Funding
ACKNOWLEDGMENT This work was supported by the Academy of Finland (projects WiFiUS and PRISMA) and by the project TAKE-5: The 5th Evolution Take of Wireless Communication Networks, funded by Tekes.
Keywords
- 5G systems
- Factory automation
- Industrial IoT
- MmWave communication
- Radio channel properties
- Ray-based modeling
Publication forum classification
- Publication forum level 1
ASJC Scopus subject areas
- General Engineering
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