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: University of Texas at Austin
• 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
• 起止时间: 2012-09-01 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1218338&HistoricalAwards=false
• 关键词: CIF; Small; Interference; Modeling; Management

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.

蜂窝系统基础设施部署变得越来越多，包括随机部署位置和更多类型的基础架构。使用宏，PICO和FEM基站的混合物，以及固定的继电器站和分布式天线，异质网络有可能突破容量的瓶颈。尽管拥有巨大的希望，但这种潜力尚未实现，因为新的基础架构创造了一个不同且具有挑战性的分布式干扰环境。本研究开发了新的数学工具，以简化对蜂窝系统的分析，从而利用随机几何形状和随机形状，从而模拟随机干扰源的影响，以了解重要环境的影响。它使用这些工具来分析和制定针对不同提议的技术的干扰管理策略，包括具有异质干扰的小细胞网络以及与许多天线的大细胞网络。分析和算法的一个主要主题是使用天线避免，取消，对齐和以其他方式减轻干扰的影响 - 即使在发射器之间可能存在有限的协调性。在不同地区，提议的理论和算法的影响力的影响是在不同领域的影响。数学工具和基本理论将影响网络几何形状的通信系统的理解和设计。信号处理算法将为对多个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工业分支机构发生，将研究结果纳入其无线网络技术。该项目将在课程项目中培养研究生的培训，并通过公开示威与社区接触。