The Extended Vienna System-Level Simulator for Reconfigurable Intelligent Surfaces

Le Hao, Stefan Schwarz, M. Rupp
{"title":"The Extended Vienna System-Level Simulator for Reconfigurable Intelligent Surfaces","authors":"Le Hao, Stefan Schwarz, M. Rupp","doi":"10.1109/EuCNC/6GSummit58263.2023.10188354","DOIUrl":null,"url":null,"abstract":"Reconfigurable intelligent surfaces (RISs) have been considered a promising research direction for the next generation of wireless communications. It is essential to perform extensive simulations in a system-level simulator (SLS) to analyze the system performance of RIS-assisted large-scale wireless networks. This paper introduces the RIS-tailored Vienna SLS that utilizes the MATLAB ray tracer to realize RIS-assisted transmissions. A recently published free space pathloss model for RIS (RISFSPL) has been adopted to be compatible with our SLS. In addition, we modified the ray tracing (RT) model based on the RISFSPL model to obtain a more precise pathloss in a realistic environment. In this way, we realize the advantages of both the RISFSPL and RT models. We verified the system performance through simulations in a single-input single-output (SISO) scenario with random and optimized RIS phase shifts. Furthermore, we analyzed the system performance through simulations in a complex scenario that consists of multiple base stations (BSs), RISs, and users.","PeriodicalId":65870,"journal":{"name":"公共管理高层论坛","volume":"1 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"公共管理高层论坛","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1109/EuCNC/6GSummit58263.2023.10188354","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Reconfigurable intelligent surfaces (RISs) have been considered a promising research direction for the next generation of wireless communications. It is essential to perform extensive simulations in a system-level simulator (SLS) to analyze the system performance of RIS-assisted large-scale wireless networks. This paper introduces the RIS-tailored Vienna SLS that utilizes the MATLAB ray tracer to realize RIS-assisted transmissions. A recently published free space pathloss model for RIS (RISFSPL) has been adopted to be compatible with our SLS. In addition, we modified the ray tracing (RT) model based on the RISFSPL model to obtain a more precise pathloss in a realistic environment. In this way, we realize the advantages of both the RISFSPL and RT models. We verified the system performance through simulations in a single-input single-output (SISO) scenario with random and optimized RIS phase shifts. Furthermore, we analyzed the system performance through simulations in a complex scenario that consists of multiple base stations (BSs), RISs, and users.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
可重构智能表面的扩展维也纳系统级模拟器
可重构智能表面(RISs)被认为是下一代无线通信的一个有前途的研究方向。在系统级模拟器(SLS)中进行大量的仿真是分析ris辅助的大规模无线网络系统性能的必要条件。本文介绍了利用MATLAB射线追踪器实现ris辅助传输的专为ris设计的Vienna SLS。最近发表的RIS自由空间路径损失模型(RISFSPL)已被采用以兼容我们的SLS。此外,我们在RISFSPL模型的基础上对射线追踪(RT)模型进行了修正,以获得更精确的真实环境下的路径损失。通过这种方式,我们实现了RISFSPL和RT模型的优点。我们通过在随机和优化的RIS相移的单输入单输出(SISO)场景下的模拟验证了系统的性能。此外,我们通过在由多个基站(BSs)、RISs和用户组成的复杂场景中进行模拟,分析了系统性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
385
期刊最新文献
Undersampling and SNR Degradation in Practical Direct RF Sampling Systems Research Challenges in Trustworthy Artificial Intelligence and Computing for Health: The Case of the PRE-ACT project Inter-Satellite Link Prediction for Non-Terrestrial Networks Using Supervised Learning AI-Powered Edge Computing Evolution for Beyond 5G Communication Networks Phase Modulation-based Fronthaul Network for 5G mmWave FR-2 Signal Transmission over Hybrid Links
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1