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:0904239
- 负责人:
- 金额:$ 49.1万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2008
- 资助国家:美国
- 起止时间:2008-08-15 至 2012-08-31
- 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.
有充分记录的合作链接如何在物理层提供可观的性能提高,但是目前尚不清楚获得哪种网络支持才能获得所寻求的收益。 合作链接违反了用于广播传输的简单碰撞模型,该模型迄今已在允许传播理论和网络理论的并行演变方面具有重要作用。认识到缺乏正确的分类法无法在网络和多个访问层上使用合作链接,因此该协作项目的目的是在理论上和实验上研究合作分散的物理层与整个无线网络体系结构之间的相互作用。更具体地说,该项目将开发可行的链接摘要,多个访问协议,端到端网络传输模型,适当的算法,以支持两种快速前进的技术的无线移动网络中的介绍:1)合作传输,合成多个网络节点,由多个网络节点作为运行的多个网络节点,从而允许分散的多端antenna调制解器和2)分散分散的分散分散的源代码,并将该项目还将使用GNU软件无线电平台来测试合作链接并评估其可行性和退化,当面对收发器同步,运营商偏移,时钟抖动和计算延迟时,该项目还将评估其可行性和退化。算法和理论结果将通过研究出版物的标准工具传播。实验结果还将在线记录在线记录,该软件将作为一种教育工具共享,并促进网络网络中的新技术进步。该项目将使未来的无线网络更接近实现通信的物理限制。
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
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
2020 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2020, Austin, TX, USA, March 23-27, 2020
2020 IEEE 国际普适计算和通信研讨会研讨会,PerCom Workshops 2020,美国德克萨斯州奥斯汀,2020 年 3 月 23-27 日
- DOI:
- 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
Yuan Lai;Gonzalo J. Martinez;Stephen M. Mattingly;Shayan Mirjafari;Subigya Nepal;Andrew T Campbell;A. Dey;Aaron D. Striegel;Marco Jansen;Fatjon Seraj;Wei Wang;P. Havinga;Kaijie Zhang;Zhiwen Yu;Dong Zhang;Zhu Wang;Bin Guo;Julian Graf;Katrin Neubauer;Sebastian Fischer;Rudolf Hackenberg;Elliott Wen;Gerald Weber;Javier Rojo;Daniel Flores;J. García;J. M. Murillo;Javier Berrocal;Mingyu Hou;Tianyu Kang;Li Guo;Edison Thomaz;Beichen Yang;Min Sun;Xiaoyan Hong;Xiaoming Guo;P. Barsocchi;A. Crivello;Michele Girolami;Fabio Mavilia;Vivek Chandel;Shivam Singhal;Avik Ghose;Tetsushi Matsuda;Toru Inada;Susumu Ishihara;Luay Alawneh;Belal Mohsen;Mohammad Al;Ahmed S. Shatnawi;Mahmoud Al;N. B. Rabah;Eoin Brophy;W. Muehlhausen;A. Smeaton;Tomás E. Ward;S. Maskey;S. Badsha;Shamik Sengupta;Ibrahim Khalil;Stanisław Saganowski;Anna Dutkowiak;A. Dziadek;Maciej Dziezyc;Joanna Komoszynska;Weronika Michalska;Adam G. Polak;Michal Ujma;Przemysław Kazienko;Nurullah Karakoç;Anna Scaglione;Fatemeh Mirzaei;Jonathan Lam;Roberto Manduchi;R. K. Ramakrishnan;R. Gavas;Lalit Venkata Subramaninan Viraraghavan;Kumar Hissaria;Arpan Pal;P. Balamuralidhar;S. Ditton;Ali Tekeoglu;K. Bekiroglu;Seshadhri Srinivasan;E. Tonkin;Miquel Perello Nieto;Haixia Bi;Antonis Vafeas;Yuri Tani;M. Garcia;A. Konios;M. A. Mustafa;C. Nugent;G. Morrison;Noah Sieck;Cameron Calpin;Mohammad S. Almalag;M. M. Sandhu;Kai Geissdoerfer;Sara Khalifa;Raja Jurdak;Marius Portmann;Brano Kusy;Alwyn Burger;Chao Qian;Gregor Schiele;Domenik Helms;Peter Zdankin;Marian Waltereit;V. Matkovic;Torben Weis;Syafiq Al Atiiq;Christian Gehrmann;Jae Woong Lee;Sumi Helal;Mathias Mormul;Christoph Stach;L. Krupp;G. Bahle;Agnes Gruenerbl;P. Lukowicz;Nicholas Handaja;Brent Lagesse;Clémentine Gritti;Dennis Przytarski;Bernhard Mitschang;Yeongjun Jeon;Kukho Heo;Soon Ju Kang;Sandeep Biplav Srivastava;Singh Sandha;Vaskar Raychoudhury;Sukanya Randhawa;V. Kapoor;Anmol Agrawal;Young D. Kwon;Kirill A. Shatilov;Lik;Serkan Kumyol;Kit;Yui;Pan Hui;Brittany Lewis;Joshua Hebert;Krishna Venkatasubramanian;Matthew Provost;Kelly Charlebois;Kristina Yordanova;Albert Hein;T. Kirste;Lien;Jun;Wei;Casper Van Gheluwe;I. Šemanjski;Suzanne Hendrikse;S. Gautama;Furqan Jameel;Zheng Chang;Riku Jäntti;Sergio Laso;M. Linaje;Ikram Ullah;N. Meratnia;Steven M. Hernandez;Eyuphan Bulut;Amiah Gooding;Matthew Martin;Maxwell Minard;Smruthi Sandhanam;Travis Stanger;Yana Alexandrova;Ashfaq Khokhar;Goce Trajcevski;Utsav Goswami;Kevin Wang;Gabriel Nguyen;Federico Montori;L. Bedogni;Gianluca Iselli;L. Bononi;Saptaparni Kumar;Haochen Pan;Roger Wang;Lewis Tseng;K. Hirayama;S. Saiki;Masahide Nakamura;Kiyoshi Yasuda;Samy El;Ismail Arai;Ahmad Salman;B. B. Park;Yuya Sano;Yuito Sugata;Teruhiro Mizumoto;H. Suwa;K. Yasumoto;P. Kouris;Marietta Sionti;Chrysovalantis Korfitis;Stella Markantonatou;Naima Khan;Nirmalya Roy;D. Jaiswal;D. Chatterjee;Ramesh Kumar;Ana Cristina Franco;Da Silva;Pascal Hirmer;Jan Schneider;Seda Ulusal;Matheus Tavares;Tomokazu Matsui;Kosei Onishi;Shinya Misaki;Manato Fujimoto;Hayata Satake;Yuki Kobayashi;Ryotaro Tani;Hiroshi Shigeno;Avijoy Chakma;Abu Zaher;Md Faridee;M Sajjad Hossain;Cleo Forman;Pablo Thiel;Raymond Ptucha;Miguel Dominguez;Cecilia Ovesdotter Alm;S. Mozgai;Arno Hartholt;Albert Rizzo - 通讯作者:
Albert Rizzo
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
Routing and data compression in sensor networks: stochastic models for sensor data that guarantee scalability
- DOI:
10.1109/isit.2003.1228188 - 发表时间:
2003-09 - 期刊:
- 影响因子:0
- 作者:
Anna Scaglione - 通讯作者:
Anna Scaglione
Statistical analysis of the capacity of MIMO frequency selective Rayleigh fading channels with arbitrary number of inputs and outputs
- DOI:
10.1109/isit.2002.1023550 - 发表时间:
2002-06 - 期刊:
- 影响因子:0
- 作者:
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
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:
$ 49.1万 - 项目类别:
Standard Grant
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:
$ 49.1万 - 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:
$ 49.1万 - 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:
$ 49.1万 - 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:
$ 49.1万 - 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:
$ 49.1万 - 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:
1534957 - 财政年份:2014
- 资助金额:
$ 49.1万 - 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:
$ 49.1万 - 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:
1320065 - 财政年份:2013
- 资助金额:
$ 49.1万 - 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:
$ 49.1万 - 项目类别:
Continuing Grant
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