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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，关于无线信道的状态的信息的获取和传输已经演变成系统的设计和操作中的首要问题。一个最好的例子是在大规模MIMO中观察到的，特别是频分双工。这需要仔细处理用于训练与数据传输的信道资源。该项目致力于仔细分析涉及信道空间相关性的现象，并合成从中受益的新解决方案，从而实现更有效的信道训练和传输，特别是在所述效率可能对无线系统性能产生关键影响的情况下。该研究是由教育和推广活动，包括培训研究生和本科生的补充。在大规模MIMO，物理信道的散射特性产生秩亏协方差矩阵，打开了大门，一些有趣的建议夺回信道训练的效率，特别是使用中期到长期的协方差特征空间预波束形成。无线节点的协方差属性之间的变化也发生在除了大规模MIMO之外的场景中。拟议的活动是致力于建立一个理论的相关性多样性在无线网络动画的想法，很像一个交易员的套利，这是可能的利润从差异的协方差特征空间，通过重叠或通过分离的特征空间。拟议的活动旨在打开一个更广泛的适用性域比目前的基于协方差的技术，其最佳增益是在某些天线配置，接收器的数量，和协方差秩行为。拟议的活动还与在时域和频域中发现的密切对应物联系在一起，为协方差和相干差异的综合理论提供了一个开放的空间。