NeTS-ProWin: COLLABORATIVE RESEARCH: A new taxonomy for cooperative wireless networking
NetS-ProWin:协作研究:协作无线网络的新分类法
基本信息
- 批准号:0626751
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2006
- 资助国家:美国
- 起止时间:2006-09-15 至 2009-04-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
It is well documented how cooperative links can offer considerable performance gains at the physical layer, but it is unclear what kind of network support would be required to attain the sought gains. Cooperative links violate the simple collision model for broadcast transmission, a model that has been instrumental so far in allowing the parallel evolution of communication theory and network theory. Recognizing the absence of a correct taxonomy to use cooperative links at the network and multiple access layer, the objective of this collaborative project is to investigate theoretically and experimentally the interplay between a cooperative decentralized physical layer and the wireless network architecture as a whole. More specifically, the project will develop viable link abstractions, multiple access protocols, end-to-end network transport models, appropriate algorithms to support the introduction in wireless mobile networks of two technologies that are rapidly advancing: 1) cooperative transmission, that consists of multiple network nodes operating as a decentralized multi-antenna modem and, 2) distributed source coding, that allows the decentralized compression of correlated observations and, thus, is relevant to the design of a decentralized receiver.The project will also use the GNU software radio platform to test cooperative links and assess their feasibility and degradation when facing real limitations of transceiver synchronization, carrier offset, clock jitter and computation delays. Algorithms and theoretical results will be disseminated through the standard tools of research publications. Experimental results will be also documented online where the software will be shared to serve as an educational tool as well as to foster new technological advances in mesh networks.This project will bring future wireless networks closer to achieving the physical limits of communications.
协作链路如何在物理层提供可观的性能增益已有充分记录,但尚不清楚需要什么样的网络支持才能获得所寻求的增益。 协作链路违反了广播传输的简单冲突模型,该模型迄今为止在允许通信理论和网络理论的并行发展方面发挥了重要作用。认识到在网络和多接入层使用协作链路缺乏正确的分类法,该协作项目的目标是从理论上和实验上研究协作分散物理层与整个无线网络架构之间的相互作用。更具体地说,该项目将开发可行的链路抽象、多接入协议、端到端网络传输模型、适当的算法,以支持在无线移动网络中引入两种快速发展的技术:1)协作传输,包括多个网络节点作为分散式多天线调制解调器运行,2) 分布式源编码,允许相关观测值的分散式压缩,因此与分散式接收器的设计相关。该项目还将使用 GNU 软件无线电测试合作链接并评估其可行性和退化的平台当面临收发器同步、载波偏移、时钟抖动和计算延迟的实际限制时。算法和理论结果将通过研究出版物的标准工具传播。实验结果也将在线记录,该软件将作为教育工具进行共享,并促进网状网络的新技术进步。该项目将使未来的无线网络更接近实现通信的物理极限。
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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Anna Scaglione其他文献
Localization of Data Injection Attacks on Distributed M-Estimation
对分布式 M 估计的数据注入攻击的本地化
- DOI:
10.1109/dsw.2019.8755572 - 发表时间:
2019-06-01 - 期刊:
- 影响因子:0
- 作者:
O. Shalom;Amir Leshem;Anna Scaglione - 通讯作者:
Anna Scaglione
Stochastic Dynamic Network Utility Maximization with Application to Disaster Response
随机动态网络效用最大化及其在灾难响应中的应用
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Anna Scaglione;Nurullah Karakoç - 通讯作者:
Nurullah Karakoç
Optimal adaptive precoding for frequency-selective Nagakami-m fading channels
频率选择性 Nagakami-m 衰落信道的最优自适应预编码
- DOI:
10.1109/vetecf.2000.886308 - 发表时间:
2000-09-24 - 期刊:
- 影响因子:0
- 作者:
Anna Scaglione;S. Barbarossa;G. Giannakis - 通讯作者:
G. Giannakis
Network-Constrained Reinforcement Learning for Optimal EV Charging Control
用于最佳电动汽车充电控制的网络约束强化学习
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Tong Wu;Anna Scaglione;Adrian;Daniel Arnold;S. Peisert - 通讯作者:
S. Peisert
Blind equalization using cost function matched to the signal constellation
使用与信号星座匹配的成本函数进行盲均衡
- DOI:
10.1109/acssc.1997.680438 - 发表时间:
1997-11-02 - 期刊:
- 影响因子:0
- 作者:
S. Barbarossa;Anna Scaglione - 通讯作者:
Anna Scaglione
Anna Scaglione的其他文献
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{{ truncateString('Anna Scaglione', 18)}}的其他基金
Travel Grant: Urban Tech Academy meeting on electrified multimodal transportation
旅行补助金:城市技术学院关于电气化多式联运的会议
- 批准号:
2336001 - 财政年份:2023
- 资助金额:
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Standard Grant
I-Corps: Geospatial Trend Detection for Hydro-power and Critical Infrastructure Design
I-Corps:水电和关键基础设施设计的地理空间趋势检测
- 批准号:
2344120 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Standard Grant
Advancing Graph Signal Processing Techniques for Monitoring and Control of Electric Distribution Power Systems
先进的图形信号处理技术用于配电电力系统的监测和控制
- 批准号:
2210012 - 财政年份:2022
- 资助金额:
-- - 项目类别:
Standard Grant
CCF-BSF: CIF: Small: Identification and Isolation of Malicious Behavior in Multi-Agent Optimization Algorithms
CCF-BSF:CIF:小:多代理优化算法中恶意行为的识别和隔离
- 批准号:
1714672 - 财政年份:2017
- 资助金额:
-- - 项目类别:
Standard Grant
EAGER: The Identification of Social Systems Trust: Theory and Experimental Validation
EAGER:社会系统信任的识别:理论与实验验证
- 批准号:
1553746 - 财政年份:2015
- 资助金额:
-- - 项目类别:
Standard Grant
Collaborative Research: EAGER: Renewables: A function space theory for continuous-time flexibility scheduling in electricity markets
合作研究:EAGER:可再生能源:电力市场连续时间灵活性调度的函数空间理论
- 批准号:
1549923 - 财政年份:2015
- 资助金额:
-- - 项目类别:
Standard Grant
CIF: Large: Collaborative Research: Cooperation and Learning Over Cognitive Networks
CIF:大型:协作研究:认知网络上的合作与学习
- 批准号:
1531050 - 财政年份:2014
- 资助金额:
-- - 项目类别:
Continuing Grant
CCF: Small: Online Learning and Exploitation of the Radio Frequency Spectrum with Sub-Nyquist Sampling
CCF:小型:采用亚奈奎斯特采样的射频频谱在线学习和利用
- 批准号:
1534957 - 财政年份:2014
- 资助金额:
-- - 项目类别:
Standard Grant
CCF: Small: Online Learning and Exploitation of the Radio Frequency Spectrum with Sub-Nyquist Sampling
CCF:小型:采用亚奈奎斯特采样的射频频谱在线学习和利用
- 批准号:
1320065 - 财政年份:2013
- 资助金额:
-- - 项目类别:
Standard Grant
CIF: Large: Collaborative Research: Cooperation and Learning Over Cognitive Networks
CIF:大型:协作研究:认知网络上的合作与学习
- 批准号:
1011811 - 财政年份:2010
- 资助金额:
-- - 项目类别:
Continuing Grant
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