NeTS: Small: Collaborative Research: Towards Adaptive and Efficient Wireless Computing Networks
NeTS:小型:协作研究:迈向自适应且高效的无线计算网络
基本信息
- 批准号:1813392
- 负责人:
- 金额:$ 25万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-10-01 至 2020-02-29
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Today's mobile devices are not merely smart, they are becoming intelligent as artificial intelligence applications such as Facebook Caffe2 and Google Tensor-Flow Lite are being pushed into mobile devices and as mobiles devices are being integrated into the cloud-fog-mobile architecture. This calls for efficient and adaptive computing/communication co-design of wireless networks to optimize application-level latency (including both communication latency and computing times) and to achieve energy efficiency (considering energy consumed by both communications and computing). This project develops fundamental theories and novel architectures of low-latency, energy-efficient, and computing-centric wireless networks to support emerging mobile intelligence applications. Theories and algorithms developed by the PIs are constantly integrated into the undergraduate and graduate courses taught at the two universities. This project also provides hand-on experiences to undergraduate and high school students with state-of-the-art wireless technologies. Computing/communication co-design, while new for wireless networks, is a central topic in data center networks. However, the proposed solutions, while inspiring, are not directly applicable to wireless computing networks because of the unique features of wireless networks such as wireless interference, channel fading and limited energy. This project focuses on provably optimal mechanisms that dynamically and adaptively schedule computing tasks and data transmissions to meet application-level performance requirements, and consists of three interdependent thrusts: (i) Optimal computing/communication co-design. This thrust develops mathematical models and theoretical limits of wireless computing networks, (ii) Robust computing/communication co-design. This thrust focuses on robust computing and communication co-design that achieves desired performance with imperfect state information and under unavoidable short-term system overload and (iii) Learning-aided adaptive computing/communication co-design. This thrust further improves the performance of wireless computing networks by leveraging both historical data and predictable user behaviors.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.
如今的移动的设备不仅仅是智能的,随着Facebook Caffe 2和Google Tensor-Flow Lite等人工智能应用被推到移动的设备中,以及移动设备被集成到云-雾-移动的架构中,它们正在变得智能化。这就需要无线网络的高效和自适应的计算/通信协同设计,以优化应用级延迟(包括通信延迟和计算时间)并实现能效(考虑通信和计算消耗的能量)。 该项目开发低延迟、节能和以计算为中心的无线网络的基础理论和新型架构,以支持新兴的移动的智能应用。PI开发的理论和算法不断融入这两所大学的本科和研究生课程。该项目还为本科生和高中生提供了最先进的无线技术的实践经验。计算/通信协同设计虽然对于无线网络来说是新的,但却是数据中心网络中的中心主题。然而,所提出的解决方案,虽然鼓舞人心的,是不直接适用于无线计算网络,因为无线网络的独特功能,如无线干扰,信道衰落和有限的能量。该项目的重点是可证明的最佳机制,动态和自适应调度计算任务和数据传输,以满足应用程序级的性能要求,并包括三个相互依存的推力:(i)最佳计算/通信协同设计。这一推力开发了无线计算网络的数学模型和理论极限,(ii)稳健的计算/通信协同设计。这一推力的重点是强大的计算和通信协同设计,实现所需的性能与不完美的状态信息和不可避免的短期系统过载和(iii)学习辅助自适应计算/通信协同设计。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(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
A Mean Field Game Analysis of Distributed MAC in Ultra-Dense Multichannel Wireless Networks
- DOI:10.1145/3323679.3326498
- 发表时间:2019-07
- 期刊:
- 影响因子:0
- 作者:D. Narasimha;S. Shakkottai;Lei Ying
- 通讯作者:D. Narasimha;S. Shakkottai;Lei Ying
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Lei Ying其他文献
YY1 deficiency in beta-cells leads to mitochondrial dysfunction and diabetes in mice
β细胞中的YY1缺陷导致小鼠线粒体功能障碍和糖尿病
- DOI:
10.1016/j.metabol.2020.154353 - 发表时间:
2020 - 期刊:
- 影响因子:9.8
- 作者:
Song Dalong;Yang Qi;Jiang Xiuli;Shan Aijing;Nan Jingminjie;Lei Ying;Ji He;Di Wei;Yang Tianxiao;Wang Tiange;Wang Weiqing;Ning Guang;Cao Yanan - 通讯作者:
Cao Yanan
Data fusion based EKF-UI for real-time simultaneous identification of structural systems and unknown external inputs
基于数据融合的 EKF-UI,用于结构系统和未知外部输入的实时同步识别
- DOI:
10.1016/j.measurement.2016.02.002 - 发表时间:
2016-06 - 期刊:
- 影响因子:5.6
- 作者:
Liu Lijun;Su Ying;Zhu Jiajia;Lei Ying - 通讯作者:
Lei Ying
Improving the Electroluminescent Performance of Blue Light-Emitting Polymers by Side-Chain Modification
通过侧链修饰提高蓝光聚合物的电致发光性能
- DOI:
10.1021/acsami.9b21652 - 发表时间:
2020 - 期刊:
- 影响因子:9.5
- 作者:
Feng Peng;Wenkai Zhong;Zhiming Zhong;Ting Guo;Lei Ying - 通讯作者:
Lei Ying
Sodium arsenite augments sensitivity of Echinococcus granulosus protoscoleces to albendazole.
亚砷酸钠增强细粒棘球绦虫原头节对阿苯达唑的敏感性。
- DOI:
10.1016/j.exppara.2019.02.008 - 发表时间:
2019-05 - 期刊:
- 影响因子:2.1
- 作者:
Xing Guoqiang;Zhang Hui;Liu Chunli;Guo Zhengyi;Yang Xiaoli;Wang Zhuo;Wang Bo;Lei Ying;Yang Rentan;Jian Yufeng;Lv Hailong - 通讯作者:
Lv Hailong
Erythromycin relaxes BALB/c mouse airway smooth muscle
红霉素松弛 BALB/c 小鼠气道平滑肌
- DOI:
10.1016/j.lfs.2019.02.009 - 发表时间:
2019-03 - 期刊:
- 影响因子:6.1
- 作者:
Cai Yan;Lei Ying;Chen Jingguo;Cao Lei;Yang Xudong;Zhang Kanghuai;Cao Yongxiao - 通讯作者:
Cao Yongxiao
Lei Ying的其他文献
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{{ truncateString('Lei Ying', 18)}}的其他基金
Collaborative Research: III: Small: Reconstruction of Diffusion History in Cyber and Human Networks with Applications in Epidemiology and Cybersecurity
合作研究:III:小:重建网络和人类网络中的扩散历史及其在流行病学和网络安全中的应用
- 批准号:
2324769 - 财政年份:2023
- 资助金额:
$ 25万 - 项目类别:
Standard Grant
Collaborative Research: SLES: Safe Distributional-Reinforcement Learning-Enabled Systems: Theories, Algorithms, and Experiments
协作研究:SLES:安全的分布式强化学习系统:理论、算法和实验
- 批准号:
2331780 - 财政年份:2023
- 资助金额:
$ 25万 - 项目类别:
Standard Grant
Collaborative Research: CIF: Small: Nonasymptotic Analysis for Stochastic Networks and Systems: Foundations and Applications
合作研究:CIF:小型:随机网络和系统的非渐近分析:基础和应用
- 批准号:
2207548 - 财政年份:2022
- 资助金额:
$ 25万 - 项目类别:
Standard Grant
Collaborative Research: Towards a Theoretic Foundation for Optimal Deep Graph Learning
协作研究:为最优深度图学习奠定理论基础
- 批准号:
2134081 - 财政年份:2022
- 资助金额:
$ 25万 - 项目类别:
Continuing Grant
NeTS: Small: Collaborative Research: Towards Adaptive and Efficient Wireless Computing Networks
NeTS:小型:协作研究:迈向自适应且高效的无线计算网络
- 批准号:
2002608 - 财政年份:2019
- 资助金额:
$ 25万 - 项目类别:
Standard Grant
III: Small: Towards a Theoretical Foundation for Diffusion Source Localization
III:小:迈向扩散源定位的理论基础
- 批准号:
2003924 - 财政年份:2019
- 资助金额:
$ 25万 - 项目类别:
Standard Grant
SpecEES: Collaborative Research: Leveraging Randomization and Human Behavior for Efficient Large-Scale Distributed Spectrum Access
SpecEES:协作研究:利用随机化和人类行为实现高效的大规模分布式频谱访问
- 批准号:
2001687 - 财政年份:2019
- 资助金额:
$ 25万 - 项目类别:
Standard Grant
SpecEES: Collaborative Research: Leveraging Randomization and Human Behavior for Efficient Large-Scale Distributed Spectrum Access
SpecEES:协作研究:利用随机化和人类行为实现高效的大规模分布式频谱访问
- 批准号:
1824393 - 财政年份:2018
- 资助金额:
$ 25万 - 项目类别:
Standard Grant
III: Small: Towards a Theoretical Foundation for Diffusion Source Localization
III:小:迈向扩散源定位的理论基础
- 批准号:
1715385 - 财政年份:2017
- 资助金额:
$ 25万 - 项目类别:
Standard Grant
Collaborative Research: Resource Allocation for Time-Critical Communications in Wireless Networks
合作研究:无线网络中时间关键型通信的资源分配
- 批准号:
1609202 - 财政年份:2016
- 资助金额:
$ 25万 - 项目类别:
Standard Grant
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