WiFiUS: Message and CSI Sharing for Cellular Interference Management with Backhaul Constraints
WiFiUS:用于具有回程约束的蜂窝干扰管理的消息和 CSI 共享
基本信息
- 批准号:1457168
- 负责人:
- 金额:$ 27万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2015
- 资助国家:美国
- 起止时间:2015-03-01 至 2018-02-28
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The past decade has witnessed significant growth in the use of cellular networks, reflecting increased data demands. This has been the driver of recent research for new ways of managing interference in wireless networks. The focus of this project is to explore the potential benefits of exploiting anticipated infrastructure enhancements, particularly in terms of a more flexible use of the backhaul network connecting the base-stations, through the lens of information-theoretic models of single hop wireless networks. The goal is to show how centralized channel-aware decisions for assigning backhaul resources, by sharing messages and channel state information, can lead to rate gains and simplification of interference management schemes in network models that prove relevant to practial deployments.The project connects three research thrusts. The first is to study the fundamental limits of the rate of communication in large interference networks with a rate-limited backhaul that allows for sharing messages between base stations in both downlink and uplink scenarios. This study uses high level channel state information to identify the topology of the network and carry out a degrees of freedom based analysis and design of message sharing schemes. The second thrust builds on the first thrust to design distributed multi-antenna interference control and resource management schemes using more detailed channel state information and exchange. The third thrust addresses interference management in dynamic networks, accounting for dynamics in topology due to fading as well as due to users entering and leaving the cellular network. An important component of this thrust is the joint optimization of the rate-limited backhaul for message sharing and channel state information exchange.Research on interference management, coordination and related resource allocation will advance our understanding of how to significantly improve the energy and spectral efficiency of evolving wireless networks. While this project will advance the science and engineering of wireless networking, it should also impact the national and international wireless industry by developing new design principles and methodologies for the design and implementation of future wireless networks. By enabling more efficient use of wireless spectrum, such networks have the potential to improve broadband access across the world and provide the communication infrastructure for numerous new wireless services. Furthermore, these advances are necessary to enable the evolving internet of connected objects or the Internet of Things (IoT). Education initiatives include the involvement of undergraduate students in the research project; integration of the research results developed under this project into graduate and undergraduate curricula; presentation of tutorials on topics related to the project at international conferences, seasonal schools and WiFiUS meetings; and facilitating student exchanges between the two collaborating institutions.
过去十年中,蜂窝网络的使用显著增长,反映了数据需求的增加。 这一直是最近研究无线网络中管理干扰的新方法的驱动力。该项目的重点是探索利用预期的基础设施增强的潜在好处,特别是在一个更灵活的使用回程网络连接的基站,通过单跳无线网络的信息理论模型的透镜。该项目的目标是展示如何通过共享消息和信道状态信息来实现回程资源分配的集中式信道感知决策,从而在与实际部署相关的网络模型中实现速率增益和干扰管理方案的简化。第一个是研究具有速率受限回程的大干扰网络中的通信速率的基本限制,该速率受限回程允许在下行链路和上行链路场景中的基站之间共享消息。本研究使用高层信道状态信息来识别网络拓扑,并对消息共享方案进行基于自由度的分析和设计。第二个推力建立在第一个推力设计分布式多天线干扰控制和资源管理方案,使用更详细的信道状态信息和交换。第三个推力解决了动态网络中的干扰管理,考虑到由于衰落以及由于用户进入和离开蜂窝网络而引起的拓扑动态。其中一个重要的组成部分是联合优化的速率限制回程消息共享和信道状态信息交换的干扰管理,协调和相关的资源分配的研究将推进我们的理解,如何显着提高能源和频谱效率的不断发展的无线网络。虽然该项目将推动无线网络的科学和工程,但它也应该通过为未来无线网络的设计和实施开发新的设计原则和方法来影响国内和国际无线行业。通过更有效地使用无线频谱,这些网络有可能改善全球的宽带接入,并为许多新的无线服务提供通信基础设施。此外,这些进步对于实现不断发展的连接对象互联网或物联网(IoT)是必要的。教育举措包括让本科生参与研究项目;将该项目下开发的研究成果纳入研究生和本科生课程;在国际会议、季节性学校和WiFiUS会议上介绍与该项目有关的专题辅导;以及促进两个合作机构之间的学生交流。
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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Venugopal Veeravalli其他文献
Venugopal Veeravalli的其他文献
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{{ truncateString('Venugopal Veeravalli', 18)}}的其他基金
Collaborative Research: CIF: Medium: Emerging Directions in Robust Learning and Inference
协作研究:CIF:媒介:稳健学习和推理的新兴方向
- 批准号:
2106727 - 财政年份:2021
- 资助金额:
$ 27万 - 项目类别:
Continuing Grant
Efficient Strategies for Pandemic Monitoring and Recovery
流行病监测和恢复的有效策略
- 批准号:
2033900 - 财政年份:2020
- 资助金额:
$ 27万 - 项目类别:
Standard Grant
SpecEES: Collaborative Research: Energy Efficient Dynamic Spectrum Access in Uncoordinated Networks
SpecEES:协作研究:不协调网络中的节能动态频谱接入
- 批准号:
1730882 - 财政年份:2017
- 资助金额:
$ 27万 - 项目类别:
Standard Grant
CIF: Small: Collaborative Research: Network Event Detection with Multistream Observations
CIF:小型:协作研究:通过多流观察进行网络事件检测
- 批准号:
1618658 - 财政年份:2016
- 资助金额:
$ 27万 - 项目类别:
Standard Grant
CIF: Medium: Collaborative Research: Quickest Change Detection Techniques with Signal Processing Applications
CIF:媒介:协作研究:信号处理应用的最快变化检测技术
- 批准号:
1514245 - 财政年份:2015
- 资助金额:
$ 27万 - 项目类别:
Continuing Grant
IF: Student Travel Support for the 2014 IEEE International Symposium on Information Theory
IF:2014 年 IEEE 国际信息论研讨会学生旅行支持
- 批准号:
1434211 - 财政年份:2014
- 资助金额:
$ 27万 - 项目类别:
Standard Grant
Collaborative Research: ATD: Advanced Quickest Multidecision Change Detection-Classification Methods for Threat Assessment in Distributed Sensing Systems
合作研究:ATD:分布式传感系统中威胁评估的先进最快多决策变化检测分类方法
- 批准号:
1222498 - 财政年份:2012
- 资助金额:
$ 27万 - 项目类别:
Continuing Grant
CIF: Large: Collaborative Research: Controlled Sensing, and Distributed Signal Processing and Decision Making in Networked Systems
CIF:大型:协作研究:网络系统中的受控传感、分布式信号处理和决策
- 批准号:
1111342 - 财政年份:2011
- 资助金额:
$ 27万 - 项目类别:
Standard Grant
CIF:Medium:Collaborative Research: Understanding and Managing Interference in Communication Networks
CIF:中:协作研究:理解和管理通信网络中的干扰
- 批准号:
0904619 - 财政年份:2009
- 资助金额:
$ 27万 - 项目类别:
Standard Grant
Collaborative Research: Optimal Changepoint Detection and Identification Algorithms with Applications
协作研究:最优变点检测和识别算法及其应用
- 批准号:
0830169 - 财政年份:2008
- 资助金额:
$ 27万 - 项目类别:
Standard Grant
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