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CIF: Small: Interference Modeling and Management for Heterogenous Networks

CIF: Small: Interference Modeling and Management for Heterogenous Networks
CIF:小型:异构网络的干扰建模和管理
批准号:
1218338
负责人:
Robert Heath
金额:
$31.33万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-09-01 至 2015-08-31

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中文摘要
翻译
蜂窝系统的基础设施部署正变得更加异构化,包括随机部署地点和更多种类的基础设施。通过混合使用宏基站、微微基站和毫微微基站,以及固定中继站和分布式天线,异质网络有可能突破容量瓶颈。虽然前景看好,但这种潜力尚未实现,因为新的基础设施创造了一个不同的和具有挑战性的分布式干扰环境。这项研究开发了新的数学工具,利用随机几何和随机形状的概念来简化蜂窝系统的分析,以建模随机干扰源位置的影响,并考虑到重要的环境因素。它使用这些工具来分析和开发针对不同拟议技术的干扰管理策略,包括具有异质干扰的小蜂窝网络和具有多个天线的大蜂窝网络。分析和算法的一个主要主题是使用天线来避免、消除、对准和以其他方式减轻干扰的影响--即使发射机之间可能存在有限的协调。所提出的理论和算法预计将在不同领域产生更广泛的影响。考虑到网络几何结构,数学工具和基础理论将影响对通信系统的理解和设计。信号处理算法将为对多天线通信技术的新理解铺平道路。行业影响将通过WICAT/无线网络和通信集团的工业附属公司将研究成果纳入其无线网络技术而发生。该项目将促进研究生在课程项目中的培训,并将通过公众示范接触社区。
英文摘要
Cellular system infrastructure deployment is becoming more heterogeneous including random deployment locations and more kinds of infrastructure. Using a mixture of macro, pico, and femto base stations, as well as fixed relay stations and distributed antennas, heterogeneous networks have the potential to break through the capacity bottleneck. While holding great promise, this potential has yet to be realized since the new infrastructure creates a different and challenging distributed interference environment.This research develops new mathematical tools to enable a simplified analysis of cellular systems exploiting concepts from stochastic geometry and random shapes, to model the impact of random interference source locations, accounting for important environmental considerations. It uses these tools to analyze and develop interference management strategies for different proposed technologies including small cell networks with heterogeneous interference and large cell networks with many antennas. A main theme in the analysis and algorithms is the use of antennas to avoid, cancel, align, and otherwise mitigate the effects of interference -- even with limited coordination possible among transmitters.Broader impacts of the proposed theory and algorithms are expected in diverse areas. The mathematical tools and fundamental theory will impact the understanding and design of communication systems taking into account the network geometry. The signal processing algorithms will pave the way for a new understanding of multiple antenna communication techniques. Industry impact will occur through the WICAT / Wireless Networking and Communications Group industrial affiliates incorporating research results into their wireless networking technologies. The project will foster the training of graduate students in course projects and will reach out to the community through public demonstrations.
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