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CIF:Medium:Collaborative Research: Understanding and Managing Interference in Communication Networks

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
负责人:
Venugopal Veeravalli
金额:
$29.93万
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
项目状态:
已结题
起止时间:
2009-07-15 至 2014-06-30

项目摘要

项目成果

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中文摘要
翻译
无线设备和服务的无处不在以及不断增长的带宽需求使得提高频谱利用率势在必行。在多用户网络中提高频谱效率的关键是了解和管理干扰。这一合作项目研究了通信网络中的干扰现象,为在实际运行条件下如何处理干扰奠定了理论基础。这项研究解决了几个长期悬而未决的问题;这些问题的解决方案应该共同促进我们对干扰的理解,并为未来无线网络的设计提供指导。该项目涉及的课题范围广泛,具有重要的理论和实践意义。传统观点认为,由于干扰具有热噪声中不存在的结构,因此收发信机应该利用这种结构。另一方面,存在可以在不损害系统吞吐量的情况下基本上忽略干扰的情况,正如最近在研究高斯干扰信道的和速率容量方面的突破所证明的那样。该项目证明了干扰管理有不同的制度,并为各种多用户通信系统提供了分析手段。该项目的变革性在于其雄心勃勃的目标,即在如何处理复杂网络中的干扰方面建立坚实的理论基础,并为实现最佳性能的系统设计提供指导。
英文摘要
The ubiquity of wireless devices and services and the ever increasing bandwidth demand make it imperative to improve spectrum utilization. Key to improving spectrum efficiency in a multi-user networks is understanding and managing interference. This collaborative project studies the phenomenon of interference in communication networks and develops a theoretical foundation on how to deal with interference under realistic operating conditions. The study addresses several long-standing open problems; solutions to those problems should collectively advance our understanding on interference and provide guidance on the design of future wireless networks. This project pursues a broad range of topics that are of great theoretical and practical significance. Conventional wisdom suggests that, since interference has structure that is not present in thermal noise, this structure should be exploited by transceivers. On the other hand, there are situations where interference can be essentially ignored without compromising system throughput, as evidenced by recent breakthroughs in the study of the sum-rate capacity of Gaussian interference channels. This project demonstrates that there are different regimes for interference management and provide means of analysis for various multi-user communication systems. The transformative nature of this project lies in its ambitious goal of establishing a solid theoretical foundation on how interference should be dealt with in complex networks, and in providing guidance on system designs that achieve optimal performance.
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会议论文
Collaborative Research: CIF: Medium: Emerging Directions in Robust Learning and Inference
Efficient Strategies for Pandemic Monitoring and Recovery
SpecEES: Collaborative Research: Energy Efficient Dynamic Spectrum Access in Uncoordinated Networks
CIF: Small: Collaborative Research: Network Event Detection with Multistream Observations
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