CIF: Small: RUI: Multiple-Antenna Systems in Spatially Distributed Networks with Non-Idealized Assumptions

CIF：小型：RUI：具有非理想化假设的空间分布式网络中的多天线系统

• 批准号: 1117218
• 负责人: Siddhartan Govindasamy
• 金额: $ 12.68万
• 依托单位: Franklin W. Olin College of Engineering
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-07-01 至 2015-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1117218&HistoricalAwards=false
• 关键词: CIF; Small; RUI; Multiple; Antenna

The electromagnetic spectrum is becoming scarce as the usage of wireless communications devices becomes ubiquitous. Current research has shown that by using multiple antennas at each wireless device, significantly higher densities of users can share the electromagnetic spectrum without reducing the performance of individual users. Most existing research in this area however is based on idealized system models that are often unrealistic. This project studies the extent to which the promising performance gains of multi-antenna systems predicted using idealized network models apply to networks models with more realistic assumptions, and is an important bridge between existing theoretical understanding and future practical implementation of a technology that could potentially alleviate the spectral crowding problem significantly.Most existing research on spatially-distributed wireless networks with multi-antenna nodes is based on idealized models such as uniformly random spatial distribution of users, uncorrelated channels between antennas, and the availability of accurate channel-state-information (CSI); assumptions which often do not hold in practice. The investigator is studying the impact of non-uniform node distributions, channel correlations, and inaccurate CSI on the performance of wireless networks with multi-antenna nodes. Specific questions addressed include 1) What spectral efficiencies can be achieved in such networks? 2) To what extent can increasing the number of antennas per user with user density maintain constant perlink data rates in such networks? 3) What are appropriate models for spatial node distribution, channel correlation, and CSI uncertainty for spatially distributed networks? Answers to these questions help improve existing understanding of the performance benefits of multiple-antenna systems in realistic systems and in particular, their potential to alleviate spectral crowding in practice.

随着无线通信设备的使用变得无处不在，电磁频谱变得越来越稀少。当前的研究表明，通过在每个无线设备上使用多个天线，用户的密度明显更高，可以共享电磁频谱，而无需降低单个用户的性能。但是，该领域的大多数现有研究都是基于通常不现实的理想化系统模型。该项目研究了使用理想化网络模型预测的多个Antenna系统的有前途的性能提高的程度，适用于具有更现实的假设的网络模型，这是现有的理论理解与未来实际实施技术实施之间的重要桥梁，该技术可以显着缓解光谱拥挤问题，以显着缓解与空间分散的无线网络，以实现多大分布的多种分发性，以实现多种多数网络，以实现多种多样的分布，是由多个分布的分布式的，即一定的分布式的，是一定的。用户，天线之间的不相关渠道以及准确的渠道状态信息的可用性（CSI）；通常在实践中不存在的假设。研究人员正在研究非均匀节点分布，通道相关性和不准确CSI对具有多端纳纳节点无线网络的性能的影响。解决的具体问题包括1）在此类网络中可以实现哪些光谱效率？ 2）用户密度在多大程度上增加每个用户的天线数量，以维持此类网络中恒定的pellink数据速率？ 3）用于空间节点分布，通道相关性和CSI不确定性的适当模型是什么？这些问题的答案有助于提高对现实系统中多 - 安德滕纳系统的性能益处的现有理解，尤其是它们减轻实践中光谱拥挤的潜力。