课题基金 / 基金详情

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
无线设备和服务的普及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理解和管理干扰。本合作项目研究通信网络中的干扰现象,为如何在实际运行条件下处理干扰提供理论基础。该研究解决了几个长期存在的开放性问题;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。本课题课题涉及面广,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,因此收发器应该利用这种结构。另一方面,在某些情况下,干扰基本上可以忽略而不影响系统吞吐量,最近在高斯干扰信道和速率容量研究方面的突破证明了这一点。该项目表明存在不同的干扰管理机制,并为各种多用户通信系统提供了分析方法。该项目的变革性在于其雄心勃勃的目标,即为如何处理复杂网络中的干扰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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