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工厂自动化场景下IEEE 802.11be不同信道编码技术的比较

Comparison between Different Channel Coding Techniques for IEEE 802.11be within Factory Automation Scenarios.

作者信息

Fanari Lorenzo, Iradier Eneko, Bilbao Iñigo, Cabrera Rufino, Montalban Jon, Angueira Pablo

机构信息

Department of Communication Engineering, University of the Basque Country (UPV/EHU), 48013 Bilbao, Spain.

出版信息

Sensors (Basel). 2021 Oct 29;21(21):7209. doi: 10.3390/s21217209.

DOI:10.3390/s21217209
PMID:34770516
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8587646/
Abstract

This paper presents improvements in the physical layer reliability of the IEEE 802.11be standard. Most wireless system proposals do not fulfill the stringent requirements of Factory Automation use cases. The harsh propagation features of industrial environments usually require time retransmission techniques to guarantee link reliability. At the same time, retransmissions compromise latency. IEEE 802.11be, the upcoming WLAN standard, is being considered for Factory Automation (FA) communications. 802.11be addresses specifically latency and reliability difficulties, typical in the previous 802.11 standards. This paper evaluates different channel coding techniques potentially applicable in IEEE 802.11be. The methods suggested here are the following: WLAN LDPC, WLAN Convolutional Codes (CC), New Radio (NR) Polar, and Long Term Evolution (LTE)-based Turbo Codes. The tests consider an IEEE 802.11be prototype under the Additive White Gaussian Noise (AWGN) channel and industrial channel models. The results suggest that the best performing codes in factory automation cases are the WLAN LDPCs and New Radio Polar Codes.

摘要

本文介绍了IEEE 802.11be标准在物理层可靠性方面的改进。大多数无线系统提案无法满足工厂自动化用例的严格要求。工业环境恶劣的传播特性通常需要采用重传技术来保证链路可靠性。与此同时,重传会影响延迟。即将推出的WLAN标准IEEE 802.11be正被考虑用于工厂自动化(FA)通信。802.11be专门解决了前几代802.11标准中典型的延迟和可靠性难题。本文评估了可能适用于IEEE 802.11be的不同信道编码技术。这里提出的方法如下:WLAN低密度奇偶校验码(LDPC)、WLAN卷积码(CC)、新无线电(NR)极化码以及基于长期演进(LTE)的Turbo码。测试考虑了在加性高斯白噪声(AWGN)信道和工业信道模型下的IEEE 802.11be原型。结果表明,在工厂自动化场景中性能最佳的编码是WLAN LDPC码和新无线电极化码。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a18c/8587646/acec7c8f440e/sensors-21-07209-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a18c/8587646/5e076ca0628f/sensors-21-07209-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a18c/8587646/bc5cd115a8bf/sensors-21-07209-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a18c/8587646/11565591c792/sensors-21-07209-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a18c/8587646/136ece340889/sensors-21-07209-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a18c/8587646/f35b76874c3a/sensors-21-07209-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a18c/8587646/49b83d9e4993/sensors-21-07209-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a18c/8587646/7213d7889ff9/sensors-21-07209-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a18c/8587646/4b523449e2d5/sensors-21-07209-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a18c/8587646/acec7c8f440e/sensors-21-07209-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a18c/8587646/5e076ca0628f/sensors-21-07209-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a18c/8587646/bc5cd115a8bf/sensors-21-07209-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a18c/8587646/11565591c792/sensors-21-07209-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a18c/8587646/136ece340889/sensors-21-07209-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a18c/8587646/f35b76874c3a/sensors-21-07209-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a18c/8587646/49b83d9e4993/sensors-21-07209-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a18c/8587646/7213d7889ff9/sensors-21-07209-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a18c/8587646/4b523449e2d5/sensors-21-07209-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a18c/8587646/acec7c8f440e/sensors-21-07209-g009.jpg

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