用于LoRa物理层和冲突解决的开源GNU无线电框架

Weixuan Xiao, G. D. Sousa, N. Rachkidy, A. Guitton
{"title":"用于LoRa物理层和冲突解决的开源GNU无线电框架","authors":"Weixuan Xiao, G. D. Sousa, N. Rachkidy, A. Guitton","doi":"10.1109/VTC2022-Fall57202.2022.10013071","DOIUrl":null,"url":null,"abstract":"LoRa (Long Range) is a physical layer designed for low-power wide area networks. It is widely used to provide long range connectivity to Internet of Things devices. In order to improve the limited throughput of LoRa, researchers have proposed several collision resolution algorithms. However, a common software framework to compare these algorithms is lacking. In this paper, we propose an open-source framework using GNU Radio, mainly designed to test and compare collision resolution algorithms, as well as physical layer algorithms. Our framework can help optimizing the parameters of algorithms according to channel conditions such as very low signal to noise ratio for instance. We also discuss technical implementation issues of existing collision resolution algorithms. Finally, we show how our framework can be used for either real experiments on USRPs, or for simulations with a large number of nodes.","PeriodicalId":326047,"journal":{"name":"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Open-Source GNU Radio Framework for LoRa Physical Layer and Collision Resolution\",\"authors\":\"Weixuan Xiao, G. D. Sousa, N. Rachkidy, A. Guitton\",\"doi\":\"10.1109/VTC2022-Fall57202.2022.10013071\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"LoRa (Long Range) is a physical layer designed for low-power wide area networks. It is widely used to provide long range connectivity to Internet of Things devices. In order to improve the limited throughput of LoRa, researchers have proposed several collision resolution algorithms. However, a common software framework to compare these algorithms is lacking. In this paper, we propose an open-source framework using GNU Radio, mainly designed to test and compare collision resolution algorithms, as well as physical layer algorithms. Our framework can help optimizing the parameters of algorithms according to channel conditions such as very low signal to noise ratio for instance. We also discuss technical implementation issues of existing collision resolution algorithms. Finally, we show how our framework can be used for either real experiments on USRPs, or for simulations with a large number of nodes.\",\"PeriodicalId\":326047,\"journal\":{\"name\":\"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VTC2022-Fall57202.2022.10013071\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VTC2022-Fall57202.2022.10013071","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

LoRa (Long Range)是为低功耗广域网设计的物理层。它被广泛用于为物联网设备提供远程连接。为了改善LoRa有限的吞吐量,研究人员提出了几种冲突解决算法。然而,缺乏一个通用的软件框架来比较这些算法。在本文中,我们提出了一个使用GNU Radio的开源框架,主要用于测试和比较碰撞解决算法,以及物理层算法。我们的框架可以帮助优化算法参数,根据信道条件,如非常低的信噪比,例如。我们还讨论了现有碰撞解决算法的技术实现问题。最后,我们展示了如何将我们的框架用于usrp上的实际实验,或用于具有大量节点的模拟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
An Open-Source GNU Radio Framework for LoRa Physical Layer and Collision Resolution
LoRa (Long Range) is a physical layer designed for low-power wide area networks. It is widely used to provide long range connectivity to Internet of Things devices. In order to improve the limited throughput of LoRa, researchers have proposed several collision resolution algorithms. However, a common software framework to compare these algorithms is lacking. In this paper, we propose an open-source framework using GNU Radio, mainly designed to test and compare collision resolution algorithms, as well as physical layer algorithms. Our framework can help optimizing the parameters of algorithms according to channel conditions such as very low signal to noise ratio for instance. We also discuss technical implementation issues of existing collision resolution algorithms. Finally, we show how our framework can be used for either real experiments on USRPs, or for simulations with a large number of nodes.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Non-Orthogonal Neighbor Election Random Access for Distributed 6G Wireless Networks Coverage Performance Analysis of Piggyback Mobile IoT in 5G Vehicular Networks Performance Comparison of Error-Control Schemes in Collaborative Multiple-Input Multiple-Output Systems Valuation-Aware Federated Learning: An Auction-Based Approach for User Selection Design of Robust LoS-MIMO Transmission in HAPS Feeder Link
×
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