@inproceedings{96c2dc27ce8049aea0720e05f2f79381,
title = "Efficient PHY Layer Abstraction for 5G NR Sidelink in ns-3",
abstract = "Physical (PHY) layer abstraction is an effective method to reduce the runtimes compared with link simulations but still accurately characterize the link performance. As a result, PHY layer abstraction for IEEE 802.11 WLAN and 3GPP LTE/5G has been widely configured in the network simulators such as ns-3, which achieve faster system-level simulations quantifying the network performance. Since the first publicly accessible 5G NR Sidelink (SL) link simulator has been recently developed, it provides a possibility of implementing the first PHY layer abstraction on 5G NR SL. This work deploys an efficient PHY layer abstraction method (i.e., EESM-log-SGN) for 5G NR SL based on the offline NR SL link simulation. The obtained layer abstraction which is further stored in ns-3 for use aims at the common 5G NR SL scenario of OFDM unicast single layer mapping in the context of Independent and Identically Distributed (i.i.d.) frequency-selective channels. We provide details about implementation, performance, and validation.",
keywords = "5G NR, EESM-log-SGN, Network Simulator 3 (ns-3), Numerology, PHY Layer Abstraction, Sidelink, TB BLER",
author = "Liu Cao and Lyutianyang Zhang and Sumit Roy",
note = "Publisher Copyright: {\textcopyright} 2023 Owner/Author.; 15th Workshop on Network Simulator, WNS3 2023 ; Conference date: 28-06-2023 Through 29-06-2023",
year = "2023",
month = jun,
day = "28",
doi = "10.1145/3592149.3592163",
language = "英语",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery ",
pages = "115--120",
booktitle = "Proceedings of the 2023 Workshop on ns-3, WNS3 2023",
address = "美国",
}