CIF:Small: Covariance Arbitrage: Unlocking the Full Value of Correlation Diversity in Multiuser Wireless Networks

CIF:Small：协方差套利：释放多用户无线网络中相关多样性的全部价值

基本信息

批准号：
1718551
负责人：
Aria Nosratinia
金额：
$ 39.93万
依托单位：
University of Texas at Dallas
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2017
资助国家：
美国
起止时间：
2017-12-15 至 2021-11-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1718551&HistoricalAwards=false
关键词：
CIF Small Covariance Arbitrage Unlocking

项目摘要

In many emerging wireless communication technologies, the acquiring and transport of information about the state of the wireless channels has evolved into a first-order issue in the design and operation of the system. A prime example is observed in massive MIMO, especially the frequency-division duplex variety. This requires careful handling of channel resources that are used for training versus data transmission. The project is dedicated to a careful analysis of phenomena involving channel spatial correlations and synthesis of novel solutions that benefit from them, leading to more efficient channel training and transmission especially in scenarios where said efficiency can have a critical impact on wireless system performance. The research is complemented by educational and outreach activities, including training of graduate and undergraduate students.In massive MIMO, scattering properties of physical channels produce rank-deficient covariance matrices, opening the door to a number of interesting proposals for recapturing efficiency of channel training notably to use medium- to long-term covariance eigenspaces for pre-beamforming. The variation between covariance properties of wireless nodes also occurs in scenarios other than massive MIMO. The proposed activity is dedicated to the building of a theory of correlation diversity in wireless networks animated by the idea that, much like a trader's arbitrage, it is possible to profit from differences of covariance eigenspaces, either via overlap or via separation of eigenspaces. The proposed activity aims to open a wider domain of applicability than present covariance-based techniques whose best gains are under certain antenna configurations, number of receivers, and covariance rank behavior. The proposed activity also ties in with close counterparts that are found in the time- and frequency-domain, providing an opening to a comprehensive theory of covariance and coherence disparity.

在许多新兴的无线通信技术中，有关无线通道状态的信息的获取和运输已演变为系统设计和操作中的一阶问题。在大量的MIMO中观察到一个主要的例子，尤其是频划分的双链体品种。这需要仔细处理用于培训与数据传输的通道资源。该项目致力于对涉及渠道空间相关性的现象进行仔细的分析，并综合了受益于它们的新解决方案，从而导致更有效的渠道训练和传播，尤其是在所述效率可以对无线系统性能产生关键影响的情况下。这项研究得到了教育和推广活动的补充，包括对研究生和本科生的培训。在大量的MIMO中，物理渠道的散射特性产生了缺陷的协方差矩阵，为恢复许多有趣的提案，以便在频道培训中恢复许多有趣的提案，以便在长期到长期的协方差eigranize eigranience eigebense eigenspace for Prebeamspace进行培训。无线节点的协方差属性之间的变化也发生在大型MIMO以外的其他情况下。所提出的活动致力于建立无线网络中相关性多样性理论，该理论是通过这样的想法动画的，即，就像交易者的套利一样，可以通过重叠或通过特征者的分离来从协方差特征空间的差异中获利。所提出的活动旨在与目前基于协方差的技术打开更广泛的适用性领域，这些技术的最佳收益是在某些天线配置，接收器数量和协方差等级行为下。所提出的活动还与在时间和频域中发现的紧密对应物联系在一起，从而开放了综合的协方差和相干差异理论。