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Efficient PHY Layer Abstraction for 5G NR Sidelink in ns-3

  • Liu Cao
  • , Lyutianyang Zhang
  • , Sumit Roy
  • University of Washington

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

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.

源语言英语
主期刊名Proceedings of the 2023 Workshop on ns-3, WNS3 2023
出版商Association for Computing Machinery
115-120
页数6
ISBN(电子版)9798400707476
DOI
出版状态已出版 - 28 6月 2023
已对外发布
活动15th Workshop on Network Simulator, WNS3 2023 - Arlington, 美国
期限: 28 6月 202329 6月 2023

出版系列

姓名ACM International Conference Proceeding Series

会议

会议15th Workshop on Network Simulator, WNS3 2023
国家/地区美国
Arlington
时期28/06/2329/06/23

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