NeTS: Medium: Collaborative Research: Unlocking Capacity for Wireless Access Networks through Robust Cooperative Cross-Layer Design
NetS:媒介:协作研究:通过稳健的协作跨层设计释放无线接入网络的容量
基本信息
- 批准号:0905267
- 负责人:
- 金额:$ 16.5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2009
- 资助国家:美国
- 起止时间:2009-09-01 至 2012-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Cooperative networking exploits the broadcast nature of the wireless channel by effectively pooling the overheard information, which is traditionally treated as harmful interference. While there is a mature suite of tools at the physical (PHY) layer to harvest cooperative gains, it is still unclear how these tools can be employed to deliver significant network capacity gains. The goal of this project is to design and implement cross-layer mechanisms for cooperative networking. By integrating PHY layer cooperation with Medium Access Control (MAC) and application layers, the project will provide higher network capacity and improved multimedia quality. The project has two interrelated components investigating basic architectures for next generation cooperative networks: (i) Cooperative data transmission, which focuses on a robust cooperative MAC-PHY incorporating multiple relays under mobility and loose requirements on synchronization and network topology. (ii) Cooperative video transmission, which exploits the synergy between cooperation and layered compression in providing unequal error protection, as well as differential quality in multicast. Apart from potential impacts on the theory and practice of new wireless technologies, this project will train undergraduate and graduate students in all aspects of wireless communications. The impact on industry will be facilitated by the close relationship of NYU-Poly with WICAT member companies. This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).
协作网络通过有效地汇集被窃听的信息来利用无线信道的广播特性,而这些信息传统上被视为有害干扰。虽然在物理(PHY)层有一套成熟的工具可实现合作收益,但如何使用这些工具来显著提高网络容量仍不清楚。本项目的目标是设计和实施用于协作网络的跨层机制。通过将物理层协作与媒体访问控制(MAC)和应用层相结合,该项目将提供更高的网络容量和改善的多媒体质量。该项目有两个相互关联的组成部分,研究下一代协作网络的基本结构:(I)协作数据传输,重点是在移动性和对同步和网络拓扑的松散要求下,结合多个中继的稳健协作MAC-PHY。(Ii)协作视频传输,它利用协作和分层压缩之间的协同作用来提供不平等的差错保护以及多播中的差异化质量。除了对新无线技术的理论和实践的潜在影响外,该项目还将在无线通信的各个方面培训本科生和研究生。纽约大学-保利与WICAT成员公司的密切关系将促进对行业的影响。该奖项是根据2009年《美国复苏和再投资法案》(公法111-5)提供资金的。
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:
$ 16.5万 - 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:
$ 16.5万 - 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:
$ 16.5万 - 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:
$ 16.5万 - 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:
$ 16.5万 - 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:
$ 16.5万 - 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:
$ 16.5万 - 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:
$ 16.5万 - 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:
$ 16.5万 - 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:
$ 16.5万 - 项目类别:
Continuing Grant
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