Comparative End-to-End Delay Analysis of Repetition and RaptorQ Codes for URLLC in Smart Factory Automation

Conference paper


Ramly, A. M. and de Friedensfeld Bernasiński, C. L. 2025. Comparative End-to-End Delay Analysis of Repetition and RaptorQ Codes for URLLC in Smart Factory Automation. 2025 International Conference on Smart Applications, Communications and Networking (SmartNets). 22 - 24 Jul 2025 IEEE. https://doi.org/10.1109/SmartNets65254.2025.11106908
AuthorsRamly, A. M. and de Friedensfeld Bernasiński, C. L.
TypeConference paper
Abstract

Ultra Reliable Low Latency Communication (URLLC) is crucial for industrial factory automation, where stringent delay and reliability requirements must be met. Hence, this paper evaluates the end-to-end delay (E2E) performance of two Forward Error Correction (FEC) techniques such as Repetition codes and RaptorQ codes within a large-scale factory environment. To assess their reliability under challenging conditions, 100 sensors per square kilometer are deployed, and performance is analyzed across two frequency spectrums: 3.5GHz (mid-band) and 28GHz (high band). The results demonstrate that RaptorQ codes consistently meet the strict URLLC latency requirement of 1ms, outperforming Repetition codes in all scenarios. The results indicate that RaptorQ at 3.5GHz achieved a maximum coverage of 420 meters for end-to-end (E2E) delay under perfect CSI, 380 meters with frequency diversity, and 360 meters under imperfect CSI without frequency diversity. The study further highlights the benefits of RaptorQ's systematic encoding in maintaining low-latency communication, especially in dynamic industrial environments.

Year2025
Conference2025 International Conference on Smart Applications, Communications and Networking (SmartNets)
PublisherIEEE
Accepted author manuscript
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Anyone
Publication dates
Online15 Aug 2025
Publication process dates
Deposited16 Sep 2025
ISSN2837-4940
2837-4932
Book title2025 International Conference on Smart Applications, Communications and Networking (SmartNets)
ISBN979-8-3315-1196-8
979-8-3315-1197-5
Digital Object Identifier (DOI)https://doi.org/10.1109/SmartNets65254.2025.11106908
Web address (URL) of conference proceedingshttps://ieeexplore.ieee.org/xpl/conhome/11106382/proceeding
Copyright holder© 2025 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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