NSF-AoF: CNS Core: Small: CRUISE: A Cross-system Architecture Design for Autonomous Wireless Networks based on Lifelong Machine Learning
NSF-AoF:CNS 核心:小型:CRUISE:基于终身机器学习的自主无线网络的跨系统架构设计
基本信息
- 批准号:2225427
- 负责人:
- 金额:$ 28万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-10-01 至 2025-09-30
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
The next generation networking systems (6G and beyond) networks are expected to be massively connected and complex, able to fulfill the requirements of intelligent transportation, industrial automation, and augmented/virtual reality, among others. The highly dynamic nature of these services requires an advanced and autonomous network design that integrates communication, information, and AI which will enable much richer applications. The outcomes of the research will facilitate the integration of robust machine learning solutions with value-added services, thus fostering the creation of new digital ecosystems in other key sectors such as intelligent transportation systems, smart cities, and the Industrial Internet. The results will be disseminated to the scientific community as both individual and joint research publications of the PIs and their Finnish collaborators, and in tutorials, seminars, and workshops.This project aims to advance the design of next-generation networking systems (6G and beyond) by developing a cross-system architecture design methodology that enables the optimal integration of information, communication, and AI. This research will advance the state of the knowledge through the following activities: (i) Development of “Time-Aware Lifelong Learning” algorithms to address the dynamics in wireless networks. (ii) Modeling the tradeoff between complexity and accuracy of the algorithms to predict system parameters in real-time; (iii) Performing multitask learning for real-time resource management; (iv) determination of the level of connectivity reinforcement needed to compensate for the imperfections in the information to meet the high reliability and low latency requirements; (v) development of the methodology to perform the tasks above when processes are temporal in nature.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
下一代网络系统(6 G及以上)网络预计将是大规模连接和复杂的,能够满足智能交通,工业自动化和增强/虚拟现实等的要求。这些服务的高度动态性需要先进的自主网络设计,集成通信,信息和人工智能,从而实现更丰富的应用程序。 研究成果将促进强大的机器学习解决方案与增值服务的整合,从而促进在智能交通系统、智慧城市和工业互联网等其他关键领域创建新的数字生态系统。研究成果将通过PI及其芬兰合作者的个人和联合研究出版物以及教程、研讨会和讲习班向科学界传播。该项目旨在通过开发跨系统架构设计方法来推进下一代网络系统(6 G及以后)的设计,从而实现信息、通信和AI的最佳集成。这项研究将通过以下活动促进知识的发展:(一)开发“时间意识终身学习”算法,以解决无线网络中的动态问题。(ii)对算法的复杂性和准确性之间的权衡进行建模,以实时预测系统参数;(iii)执行实时资源管理的多任务学习;(iv)确定补偿信息中的缺陷以满足高可靠性和低延迟要求所需的连接增强水平;(v)当过程是暂时性的时,开发执行上述任务的方法。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Beatriz Lorenzo其他文献
Service-Oriented Hybrid-Database-Assisted Spectrum Trading: A Blueprint for Future Licensed Spectrum Sharing
面向服务的混合数据库辅助频谱交易:未来许可频谱共享的蓝图
- DOI:
10.1109/mwc.0001.1800592 - 发表时间:
2019-12 - 期刊:
- 影响因子:12.9
- 作者:
Xuanheng Li;Haichuan Ding;Miao Pan;Beatriz Lorenzo;Jie Wang;Yuguang Fang - 通讯作者:
Yuguang Fang
Service-Oriented Hybrid-Database-Assisted Spectrum Trading: A Blueprint for Furture Licensed Spectrum Sharing
面向服务的混合数据库辅助频谱交易:未来许可频谱共享的蓝图
- DOI:
- 发表时间:
2019 - 期刊:
- 影响因子:12.9
- 作者:
Xuanheng Li;Haichuan Ding;Miao Pan;Beatriz Lorenzo;Jie Wang;Yuguang Fang - 通讯作者:
Yuguang Fang
The <em>precision-complexity</em> binomial to achieve the best mathematical-thermodynamic modelling on the Gibbs-function and its effect on the separation processes design
- DOI:
10.1016/j.jiec.2022.01.009 - 发表时间:
2022-04-25 - 期刊:
- 影响因子:
- 作者:
Adriel Sosa;Juan Ortega;Luís Fernández;Beatriz Lorenzo - 通讯作者:
Beatriz Lorenzo
Intelligent Data Transportation in Smart Cities: A Spectrum- Aware Approach
智慧城市中的智能数据传输:频谱感知方法
- DOI:
10.1109/tnet.2018.2871667 - 发表时间:
2018 - 期刊:
- 影响因子:0
- 作者:
Haichuan Ding;Xuanheng Li;Ying Cai;Beatriz Lorenzo;Yuguang Fang - 通讯作者:
Yuguang Fang
LEONS: Multi-Domain Network Slicing Configuration and Orchestration for Satellite-Terrestrial Edge Computing Networks
LEONS:星地边缘计算网络的多域网络切片配置和编排
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
H. H. Esmat;Beatriz Lorenzo;Jianqing Liu - 通讯作者:
Jianqing Liu
Beatriz Lorenzo的其他文献
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{{ truncateString('Beatriz Lorenzo', 18)}}的其他基金
Collaborative Research: CNS Core: Small: Scalable, Flexible, and Dependable Architecture Design for Heterogeneous Internet of Things
合作研究:CNS核心:小型:异构物联网的可扩展、灵活、可靠的架构设计
- 批准号:
2008309 - 财政年份:2020
- 资助金额:
$ 28万 - 项目类别:
Standard Grant
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