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- W3022129024 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." @default.
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- W3022129024 date "2020-03-01" @default.
- W3022129024 modified "2023-10-17" @default.
- W3022129024 title "Factory Automation: Resource Allocation of an Elevated LiDAR System with URLLC Requirements" @default.
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- W3022129024 doi "https://doi.org/10.1109/6gsummit49458.2020.9083914" @default.
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