Throughput Analysis of Incremental Redundancy Hybrid ARQ for FSO-Based Satellite Systems

Hoang D. Le, V. Mai, Chuyen T. Nguyen, A. Pham
{"title":"Throughput Analysis of Incremental Redundancy Hybrid ARQ for FSO-Based Satellite Systems","authors":"Hoang D. Le, V. Mai, Chuyen T. Nguyen, A. Pham","doi":"10.1109/VTCFall.2019.8891163","DOIUrl":null,"url":null,"abstract":"This paper studies the error-control protocol design for free-space optical (FSO) burst transmission in satellite communication systems. Specifically, we model and analyze the throughput performance of LEO-to-ground FSO systems over atmospheric turbulence channels when incremental redundancy hybrid automatic repeat request (IR-HARQ) protocols, which combine rate-compatible punctured convolutional (RCPC) code and sliding window ARQ, are employed. For this purpose, the time-varying behavior of atmospheric turbulence channels is first captured by a finite-state Markov chain. Then, the channel model is used to develop the burst loss model for IR-HARQ in order to analytically derive the system throughput. The results quantitatively show the impact of atmospheric turbulence on the throughput performance and support the optimal selection of system parameters. Monte Carlo simulations are also performed to validate the accuracy of theoretical derivations.","PeriodicalId":6713,"journal":{"name":"2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)","volume":"2 1","pages":"1-5"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VTCFall.2019.8891163","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12

Abstract

This paper studies the error-control protocol design for free-space optical (FSO) burst transmission in satellite communication systems. Specifically, we model and analyze the throughput performance of LEO-to-ground FSO systems over atmospheric turbulence channels when incremental redundancy hybrid automatic repeat request (IR-HARQ) protocols, which combine rate-compatible punctured convolutional (RCPC) code and sliding window ARQ, are employed. For this purpose, the time-varying behavior of atmospheric turbulence channels is first captured by a finite-state Markov chain. Then, the channel model is used to develop the burst loss model for IR-HARQ in order to analytically derive the system throughput. The results quantitatively show the impact of atmospheric turbulence on the throughput performance and support the optimal selection of system parameters. Monte Carlo simulations are also performed to validate the accuracy of theoretical derivations.
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
基于fso的卫星系统增量冗余混合ARQ吞吐量分析
研究了卫星通信系统中自由空间光突发传输的差错控制协议设计。具体来说,我们在大气湍流信道上建模并分析了采用增量冗余混合自动重复请求(IR-HARQ)协议时leo -ground FSO系统的吞吐量性能,该协议结合了速率兼容穿孔卷积(RCPC)编码和滑动窗口ARQ。为此,首先用有限状态马尔可夫链捕获大气湍流通道的时变行为。然后,利用信道模型建立IR-HARQ突发损耗模型,以解析导出系统吞吐量。结果定量显示了大气湍流对吞吐性能的影响,为系统参数的优化选择提供了依据。为了验证理论推导的准确性,还进行了蒙特卡罗模拟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
0
期刊最新文献
Towards Emergency Braking as a Fail-Safe State in Platooning: A Simulative Approach Online Task Offloading with Bandit Learning in Fog-Assisted IoT Systems Hybrid Localization: A Low Cost, Low Complexity Approach Based on Wi-Fi and Odometry Residual Energy Optimization for MIMO SWIPT Two-Way Relaying System Traffic Forecast in Mobile Networks: Classification System Using Machine Learning
×
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