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A Generalized Matched Filter Framework for Cellular Massive MIMO Networks

蜂窝大规模 MIMO 网络的通用匹配滤波器框架

基本信息

批准号：
325433099
负责人：
Professor Dr.-Ing. Wolfgang K. Utschick
金额：
--
依托单位：
Lehrstuhl für Methoden der Signalverarbeitung (MSV)
依托单位国家：
德国
项目类别：
Research Grants
财政年份：
2016
资助国家：
德国
起止时间：
2015-12-31 至 2021-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/325433099?language=en
关键词：
Generalized Matched Filter Framework Cellular

项目摘要

"Massive MIMO", also referred to as "Very-Large Scale MIMO Systems", stands for a recently introduced new paradigm in wireless communications considered to be an important candidate for the required technological progress necessary for the upcoming 5th generation of mobile communication systems. The huge number of antenna elements causes new benefits as well as challenges in wireless communication systems. One of the main challenges in Massive MIMO systems from the signal processing perspective is a consequence of the limited coherence time of the transmission channel. The desired number of users simultaneously served in neighboring cells of the network typically exceeds the number of channel accesses per coherence block dedicated for training. In other words, it appears to be impossible to train the desired number of channels without reusing training resources, which consequently introduces interference that is referred to as the so called "Pilot Contamination" phenomenon. Pilot Contamination ultimately jeopardizes the Massive MIMO paradigm as it degrades the potential performance gains even for an huge number of base station antennas. The focus of the proposed project is on finding novel concepts to break the "Dimensionality Bottleneck" in cellular Massive MIMO networks - imposed by the limited coherence time of the transmission channel. We will carry out a study of the full potential of beamforming and interference coordination in Massive MIMO networks based on Second-Order Statistics of the CSI and taking into account the requirement of numerically efficient solutions. The analysis will start from a single-cell perspective and continue with a study of multi-cell scenarios. The corresponding resource allocation strategies will have to be jointly designed with the targeted beamforming and interference coordination methods.Since the proposed work packages will be dominantly based on "Second-Order Statistics" of channel states, the acquisition of covariance matrices of channels will obviously play an essential role for the targeted solutions in the course of this project.

“大规模MIMO”，也称为“超大规模MIMO系统”，代表最近引入的无线通信中的新范例，其被认为是即将到来的第五代移动的通信系统所必需的所需技术进步的重要候选。大量的天线元件在无线通信系统中带来了新的益处以及挑战。从信号处理的角度来看，大规模MIMO系统中的主要挑战之一是传输信道的有限相干时间的结果。在网络的相邻小区中同时服务的用户的期望数量通常超过专用于训练的每个相干块的信道接入的数量。换句话说，在不重用训练资源的情况下训练期望数量的信道似乎是不可能的，这因此引入了被称为所谓的“导频污染”现象的干扰。导频污染最终会危及大规模MIMO范例，因为即使对于大量的基站天线，它也会降低潜在的性能增益。所提出的项目的重点是寻找新的概念，以打破蜂窝大规模MIMO网络中的“相干性瓶颈”-由有限的传输信道的相干时间所施加的。我们将开展一项研究的基础上CSI的二阶统计的大规模MIMO网络的波束成形和干扰协调的全部潜力，并考虑到数字有效的解决方案的要求。分析将从单细胞的角度开始，并继续研究多细胞的情况。相应的资源分配策略将不得不与目标波束形成和干扰协调方法联合设计。由于所提出的工作包将主要基于信道状态的“二阶统计量”，因此信道协方差矩阵的获取显然将在本项目过程中对目标解决方案起着至关重要的作用。

项目成果

期刊论文数量（4）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

CHANNEL COVARIANCE IDENTIFICATION IN FDD MASSIVE MIMO SYSTEMS

DOI：
10.1109/globalsip.2018.8646448
发表时间：
2018-09
期刊：
2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP)
影响因子：
0
作者：
José P. González-Coma;Pedro Suárez-Casal;P. M. Castro;L. Castedo;M. Joham
通讯作者：
José P. González-Coma;Pedro Suárez-Casal;P. M. Castro;L. Castedo;M. Joham

A Bilinear Equalizer for Massive MIMO Systems