CAREER: Network Economics: Theory and Architectures for Incentive-engineered Networks

职业:网络经济学:激励工程网络的理论和架构

基本信息

  • 批准号:
    0954116
  • 负责人:
  • 金额:
    $ 42.5万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2010
  • 资助国家:
    美国
  • 起止时间:
    2010-02-01 至 2017-01-31
  • 项目状态:
    已结题

项目摘要

The next generation networks are envisaged to be very large-scale, highly complex systems that handle heterogeneous traffic in diverse environments, are truly distributed and have even greater capacity, reliability and capability. These attributes can be achieved by deploying sophisticated mathematical techniques that require cooperative behavior among the various independent entities that often have economic interests. Such cooperation however, can be hard to achieve in practice leading to suboptimal performance. In this project, we are developing a systematic and foundational theory of network incentives and cooperation that aids in methodical network architecture design for vastly greater capacity, more efficient operation and improved reliability. The theory, mechanisms and architectures for incentive engineered networks that we are developing combine ideas from mathematical economics, game theory, information and queueing theories. The project will have substantial broader impact on the development of science, technology and education by leading to development of the emerging field of network economics, and has broad relevance in improving the efficiency and reliability of networks for communication, transportation, electrical power distribution, and civil infrastructure. The project is developing a new framework of network market design for economics-informed resource allocation on the Internet, non-cooperative multi-user communication theory for cooperative spectrum sharing, and a new incentivized QoS network architecture for QoS provisioning on the Internet. These have the potential to transform existing wireless and communication networks. Conducted research shall be disseminated through a tutorial on networks economic and games that the PI is writing, through classroom teaching and a high school outreach program.
下一代网络被设想为非常大规模的、高度复杂的系统,其处理不同环境中的异构业务,是真正分布式的,并且具有甚至更大的容量、可靠性和能力。这些属性可以通过部署复杂的数学技术来实现,这些技术需要在通常具有经济利益的各种独立实体之间进行合作。然而,这种合作在实践中可能难以实现,导致次优性能。在这个项目中,我们正在开发一个系统的和基础的网络激励和合作的理论,帮助有条不紊的网络架构设计,大大提高容量,更有效的操作和提高可靠性。我们正在开发的激励工程网络的理论、机制和架构联合收割机了数理经济学、博弈论、信息和博弈论的思想。该项目将对科学、技术和教育的发展产生更广泛的影响,促进新兴的网络经济领域的发展,并对提高通信、运输、配电和民用基础设施网络的效率和可靠性具有广泛的意义。该项目正在开发一个新的网络市场设计框架,用于Internet上的经济信息资源分配,用于合作频谱共享的非合作多用户通信理论,以及用于Internet上QoS提供的新的激励QoS网络架构。这些都有可能改变现有的无线和通信网络。进行的研究应通过PI正在编写的网络经济和游戏教程,通过课堂教学和高中推广计划进行传播。

项目成果

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Rahul Jain其他文献

Direct Product Theorems for Communication Complexity via Subdistribution Bounds
通过次分布界限计算通信复杂性的直积定理
A new information-theoretic property about quantum states with an application to privacy in quantum communication ∗
关于量子态的新信息论属性及其在量子通信隐私中的应用*
  • DOI:
  • 发表时间:
    2009
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Rahul Jain;J. Radhakrishnan;P. Sen
  • 通讯作者:
    P. Sen
Direct Product Theorems for Classical Communication Complexity via Subdistribution Bounds
通过次分布界求解经典通信复杂性的直积定理
  • DOI:
  • 发表时间:
    2007
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Rahul Jain
  • 通讯作者:
    Rahul Jain
The Partition Bound for Classical Communication Complexity and Query Complexity
经典通信复杂性和查询复杂性的分区界限
Peptide‐Heterocycle Conjugates as Antifungals Against Cryptococcosis
肽杂环缀合物作为抗隐球菌病的抗真菌药
  • DOI:
    10.1002/ajoc.202200196
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    2.7
  • 作者:
    K. Sharma;K. Sharma;Anurag Kudwal;Shabana I. Khan;Rahul Jain
  • 通讯作者:
    Rahul Jain

Rahul Jain的其他文献

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{{ truncateString('Rahul Jain', 18)}}的其他基金

EAGER: Real-Time: Formal Reinforcement Learning Methods for the Design of Safety-critical Autonomous Systems
EAGER:实时:用于安全关键型自主系统设计的形式强化学习方法
  • 批准号:
    1839842
  • 财政年份:
    2019
  • 资助金额:
    $ 42.5万
  • 项目类别:
    Standard Grant
Online Learning-based Real-time Control of Unknown Autonomous Systems
基于在线学习的未知自治系统实时控制
  • 批准号:
    1810447
  • 财政年份:
    2018
  • 资助金额:
    $ 42.5万
  • 项目类别:
    Standard Grant
AF: Small: A New Approach to Analysis and Design of Algorithms for Stochastic Control and Optimization
AF:小:随机控制和优化算法分析和设计的新方法
  • 批准号:
    1817212
  • 财政年份:
    2018
  • 资助金额:
    $ 42.5万
  • 项目类别:
    Standard Grant
Collaborative Research: Smarter Markets for a Smarter Grid: Pricing Randomness, Flexibility and Risk
协作研究:智能电网的智能市场:定价随机性、灵活性和风险
  • 批准号:
    1611574
  • 财政年份:
    2016
  • 资助金额:
    $ 42.5万
  • 项目类别:
    Standard Grant
NetSE: Small: Cooperation and Incentives in Communication and Social Networks
NetSE:小型:通信和社交网络中的合作和激励
  • 批准号:
    0917410
  • 财政年份:
    2009
  • 资助金额:
    $ 42.5万
  • 项目类别:
    Continuing Grant

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