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Impact of Indoor Multipath Channels on Timing Advance for URLLC in Industrial IoT
School of Electrical Engineering & Computer Science (SEECS), National University of Sciences & Technology (NUST), Pakistan.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Systems and Technology. (Communication Systems and Networks (CSN))ORCID iD: 0000-0003-3717-7793
School of Electrical Engineering & Computer Science (SEECS), National University of Sciences & Technology (NUST), Pakistan.
Department of Electrical Engineering, Georgia Southern University, USA.
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2020 (English)In: 2020 IEEE International Conference on Communications Workshops (ICC Workshops), IEEE, 2020Conference paper, Published paper (Refereed)
Abstract [en]

In 5G radio access networks, emerging machine type communication in industrial automation, smart grids, automotives, and other applications has increased the importance of establishing accurate time reference up to the device level. For instance, executing real-time isochronous operations in collaborating robots, monitoring, and fault localization in smart grids require ultra-tight synchronization among the devices. To establish time synchronization, however, the time dissemination procedure must accurately estimate and compensate for the base station (BS) to user equipment (UE) propagation delays. In this paper, we use the timing advance (TA) mechanism as an estimator for the time of arrival (TOA) for adjusting the effects of propagation delay in synchronization procedures. We study the impact of TA binning on TOA estimation, and analyze how multipath channels deteriorate the estimation accuracy. Our analysis shows that multipath channels could introduce large errors in TOA, however, averaging the multiple consecutive TA values, in static device deployments, can bring the errors to an acceptable level, i.e., less than 1 microsecond.

Place, publisher, year, edition, pages
IEEE, 2020.
National Category
Computer Engineering Communication Systems
Identifiers
URN: urn:nbn:se:miun:diva-39637DOI: 10.1109/ICCWorkshops49005.2020.9145066ISI: 000607199300024Scopus ID: 2-s2.0-85090285774ISBN: 978-1-7281-7440-2 (electronic)OAI: oai:DiVA.org:miun-39637DiVA, id: diva2:1459063
Conference
2020 IEEE International Conference on Communications Workshops (ICC Workshops)
Projects
NIIT
Funder
Knowledge FoundationAvailable from: 2020-08-19 Created: 2020-08-19 Last updated: 2021-02-11Bibliographically approved

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Mahmood, AamirGidlund, Mikael

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
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More languages
Output format
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