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缺。目前的研究表明，通过在每个无线设备上使用多个天线，显著更高密度的用户可以共享电磁频谱，而不会降低单个用户的性能。然而，这一领域的大多数现有研究都是基于理想化的系统模型，而这些模型往往是不现实的。该项目研究了使用理想化网络模型预测的多天线系统的有希望的性能收益在多大程度上适用于具有更现实假设的网络模型，并且是现有理论理解和未来可能显著缓解频谱拥塞问题的技术的实际实施之间的重要桥梁。大多数现有的具有多天线节点的空间分布式无线网络的研究基于理想化模型，例如用户的均匀随机空间分布、天线之间的不相关信道以及准确的信道状态信息(CSI)的可用性；这些假设在实践中往往不成立。研究人员正在研究节点分布不均匀、信道相关性和不准确的CSI对多天线节点无线网络性能的影响。具体问题包括：1)在这种网络中可以达到什么频谱效率？2)随着用户密度增加每个用户的天线数量在多大程度上可以在这种网络中保持恒定的上行链路数据速率？3)对于空间分布的网络，什么是合适的模型来描述空间节点分布、信道相关性和CSI不确定性？对这些问题的回答有助于提高现有对多天线系统在现实系统中的性能优势的理解，特别是它们在实践中缓解频谱拥挤的潜力。