University of Oulu

N. Jayaweera, D. Marasinghe, N. Rajatheva and M. Latva-Aho, "Factory Automation: Resource Allocation of an Elevated LiDAR System with URLLC Requirements," 2020 2nd 6G Wireless Summit (6G SUMMIT), Levi, Finland, 2020, pp. 1-5, doi: 10.1109/6GSUMMIT49458.2020.9083914

Factory automation : resource allocation of an elevated LiDAR system with URLLC requirements

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Author: Jayaweera, Nalin1; Marasinghe, Dileepa1; Rajatheva, Nandana1;
Organizations: 1Centre for Wireless Communications, Univeristy of Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 1.1 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2020
Publish Date: 2020-05-15


Ultra-reliable and low-latency communications (URLLC) play a vital role in factory automation. To share the situational awareness data collected from the infrastructure as raw or processed data, the system should guarantee the URLLC capability since this is a safety-critical application. In this work, the resource allocation problem for an infrastructure-based communication architecture (Elevated LiDAR system/ELiD) has been considered which can support the autonomous driving in a factory floor. The decoder error probability and the number of channel uses parameterize the reliability and the latency in the considered optimization problems. A maximum decoder error probability minimization problem and a total energy minimization problem have been considered in this work to analytically evaluate the performance of the ELiD system under different vehicle densities.

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ISBN: 978-1-7281-6047-4
ISBN Print: 978-1-7281-6048-1
Pages: 1 - 5
DOI: 10.1109/6GSUMMIT49458.2020.9083914
Host publication: 2020 2nd 6G Wireless Summit (6G SUMMIT)
Conference: 6G Wireless Summit
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
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