Factory automation : resource allocation of an elevated LiDAR system with URLLC requirements
Jayaweera, Nalin; Marasinghe, Dileepa; Rajatheva, Nandana; Latva-aho, Matti (2020-05-13)
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
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https://urn.fi/URN:NBN:fi-fe2020051535660
Tiivistelmä
Abstract
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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