CIF: Small: Interference Modeling and Management for Heterogenous Networks

蜂窝系统基础设施的部署变得更加异构化，包括随机部署位置和更多种类的基础设施。混合使用宏、微、飞基站，以及固定中继站和分布式天线，异构网络有可能突破容量瓶颈。虽然前景光明，但由于新的基础设施创造了一个不同的、具有挑战性的分布式干扰环境，这种潜力尚未实现。本研究开发了新的数学工具来简化细胞系统的分析，利用随机几何和随机形状的概念，模拟随机干扰源位置的影响，考虑重要的环境因素。它使用这些工具来分析和开发不同提议技术的干扰管理策略，包括具有异构干扰的小型蜂窝网络和具有许多天线的大型蜂窝网络。分析和算法中的一个主题是使用天线来避免、取消、对齐和减轻干扰的影响——即使发射机之间的协调可能有限。预计所提出的理论和算法将在不同领域产生更广泛的影响。数学工具和基本理论将影响考虑到网络几何的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。通过无线网络和通信集团的工业分支机构将研究成果纳入其无线网络技术，将对行业产生影响。该项目将在课程项目中培养研究生，并将通过公开示范向社区推广。

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.