Quality of service based radar resource management for synchronisation problems

Tobias Müller, Sebastian Durst, Pascal Marquardt, S. Brüggenwirth
{"title":"Quality of service based radar resource management for synchronisation problems","authors":"Tobias Müller, Sebastian Durst, Pascal Marquardt, S. Brüggenwirth","doi":"10.1109/WiSNeT56959.2023.10046264","DOIUrl":null,"url":null,"abstract":"An intelligent radar resource management is an essential building block of any modern radar system. The quality of service based resource allocation model (Q-RAM) provides a framework for profound and quantifiable decision-making but lacks a representation of inter-task dependencies that can e.g. arise for tracking and synchronisation tasks. As a consequence, synchronisation is usually performed in fixed non-optimal patterns. We present an extension of Q-RAM which enables the resource allocation to consider complex inter-task dependencies and can produce adaptive and intelligent synchronisation schemes. The provided experimental results demonstrate a significant improvement over traditional strategies.","PeriodicalId":186233,"journal":{"name":"2023 IEEE Topical Conference on Wireless Sensors and Sensor Networks","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE Topical Conference on Wireless Sensors and Sensor Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WiSNeT56959.2023.10046264","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

An intelligent radar resource management is an essential building block of any modern radar system. The quality of service based resource allocation model (Q-RAM) provides a framework for profound and quantifiable decision-making but lacks a representation of inter-task dependencies that can e.g. arise for tracking and synchronisation tasks. As a consequence, synchronisation is usually performed in fixed non-optimal patterns. We present an extension of Q-RAM which enables the resource allocation to consider complex inter-task dependencies and can produce adaptive and intelligent synchronisation schemes. The provided experimental results demonstrate a significant improvement over traditional strategies.
基于服务质量的雷达资源同步管理
智能雷达资源管理是任何现代雷达系统的重要组成部分。基于服务质量的资源分配模型(Q-RAM)为深刻和可量化的决策提供了一个框架,但缺乏任务间依赖关系的表示,例如跟踪和同步任务。因此,同步通常以固定的非最佳模式执行。我们提出了Q-RAM的扩展,使资源分配能够考虑复杂的任务间依赖关系,并可以产生自适应和智能同步方案。所提供的实验结果表明,与传统策略相比,该策略有显著的改进。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信