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MIMO System Technology for Wireless Communications最新文献

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Feedback Techniques for MIMO Channels MIMO信道的反馈技术
Pub Date : 2018-10-03 DOI: 10.1201/9781420005929.ch5
D. Love, R. Heath
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引用次数: 3
Antenna Selection in MIMO Systems MIMO系统中的天线选择
Pub Date : 2018-10-03 DOI: 10.1201/9781420005929.ch6
N. Mehta, A. Molisch
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引用次数: 2
Theory and Practice of MIMO Wireless Communication Systems MIMO无线通信系统的理论与实践
Pub Date : 2018-10-03 DOI: 10.1201/9781315222011-2
D. Zarbouti, G. Tsoulos, D. Kaklamani
CONTENTS Summary 30 2.1 Shannon’s Capacity Formula 30 2.2 Extended Capacity Formula for MIMO Channels 31 2.2.1 General Capacity Formula 31 2.2.2 Transformation of the MIMO Channel into n SISO Subchannels 32 2.2.3 No CSI at the Transmitter 34 2.2.4 CSI at the Transmitter 35 2.2.5 Channel Estimation at the Transmitter 35 2.3 Remarks on the Extended Shannon Capacity Formula 36 2.3.1 Bounds on MIMO Capacity 36 2.3.2 Capacity of Orthogonal Channels 38 2.3.3 Effective Degrees of Freedom 38 2.4 Capacity of SIMO — MISO Channels 39 2.5 Stochastic Channels 40 2.5.1 Ergodic Capacity 40 2.5.2 Outage Capacity 41 2.6 MIMO Capacity with Rice and Rayleigh Channels 41 2.6.1 MIMO Channel Matrix for Rayleigh Propagation Conditions 42 2.6.2 MIMO Channel Matrix for Ricean Propagation Conditions ...43 2.6.3 Channel Matrix with Spatial Fading Correlation 45 2.7 Simulations 47 2.7.1 MIMO Capacity for a Rayleigh Channel without Spatial Fading Correlation 48 2.7.2 MIMO Capacity for a Rayleigh Channel with Spatial Fading Correlation 49 2.7.3 MIMO Capacity for a Ricean Channel 50
内容总结30 2.1香农公式的能力30 2.2扩展容量公式。文中通道31 2.2.1一般容量公式31 2.2.2 MIMO信道转换为n的输出子信道32 2.2.3没有CSI发射机34 2.2.4 CSI发射机35 2.2.5信道估计的发射机35 2.3评价扩展香农容量公式2.3.2 36 2.3.1 MIMO容量界限36正交通道容量38 2.3.3有效自由度38 2.4SIMO - MISO信道容量39 2.5随机信道40 2.5.1遍历容量40 2.5.2中断容量41 2.6 Rice和Rayleigh信道的MIMO容量41 2.6.1 Rayleigh传播条件下的MIMO信道矩阵42 2.6.2 Rice传播条件下的MIMO信道矩阵…43 2.7.1无空间衰落相关的瑞利信道的MIMO容量48 2.7.2有空间衰落相关的瑞利信道的MIMO容量49 2.7.3 Ricean信道的MIMO容量50
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引用次数: 2
Introduction to Space–Time Coding 空时编码简介
Pub Date : 2018-10-03 DOI: 10.1201/9781315222011-4
A. Valkanas, A. Poularikas
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引用次数: 0
Performance of Multi-User Spatial Multiplexing with Measured Channel Data 测量信道数据的多用户空间复用性能
Pub Date : 2018-10-03 DOI: 10.1201/9781315222011-7
Q. Spencer, J. Wallace, C. Peel, T. Svantesson, A. Swindlehurst, Harry B. Lee, Ajay Gumalla
The application of MIMO processing techniques in channels that are shared among multiple users is a relatively new problem that is increasingly important as MIMO transmission is put into practical use. In this chapter we specifically consider the multi-user downlink, where a base station with multiple antennas transmits simultaneously to more than one user. We begin with an overview of some of the multi-user MIMO transmission schemes that have been proposed up to this point, then demonstrate how they might be expected to perform by applying the algorithms to measurement data from indoor and outdoor propagation environments. Specifically, we compare the number of simultaneous users the channel will support for the two different environments, the amount of separation of the users necessary to achieve maximum throughput, and the quality of channel information available to the base station when the users are mobile. In both environments, full multi-user diversity is achieved at relatively short distances on the order of one meter. The total number of simultaneous users in outdoor environments is limited compared to uncorrelated channels due to the relatively sparse multipath structure of the channel. The distances at which channel information becomes too old to be useful to the transmitter appears to be similar for both types of channels.
MIMO处理技术在多用户共享信道中的应用是一个相对较新的问题,随着MIMO传输的实际应用,这个问题变得越来越重要。在本章中,我们特别考虑多用户下行链路,其中具有多个天线的基站同时向多个用户传输。我们首先概述到目前为止提出的一些多用户MIMO传输方案,然后通过将算法应用于室内和室外传播环境的测量数据来演示它们的预期性能。具体来说,我们比较了两种不同环境下信道支持的同时用户数量,实现最大吞吐量所需的用户分离量,以及用户移动时基站可用信道信息的质量。在这两种环境中,完全的多用户分集可以在相对较短的距离内实现,大约为一米。由于信道的多径结构相对稀疏,室外环境下的同时用户总数与不相关信道相比受到限制。对于两种类型的信道,信道信息变得太旧而无法对发射机有用的距离似乎是相似的。
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引用次数: 6
Gigabit Mobile Communications Using Real-Time MIMO-OFDM Signal Processing 使用实时MIMO-OFDM信号处理的千兆移动通信
Pub Date : 2018-10-03 DOI: 10.1201/9781315222011-11
V. Jungnickel, A. Forck, T. Haustein, C. Juchems, W. Zirwas
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引用次数: 0
Multi-Antenna Testbeds for Wireless Communications 无线通信多天线试验台
Pub Date : 2018-10-03 DOI: 10.1201/9781420005929.ch10
R. Rao, C. Oberli, S. Lang, D. Browne, Weijun Zhu, M. Fitz, B. Daneshrad
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引用次数: 2
Spatio-Temporal Propagation Modeling 时空传播建模
Pub Date : 2018-10-03 DOI: 10.1201/9781315222011-1
G. Athanasiadou
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引用次数: 2
Multiuser MIMO for UTRA FDD 多用户MIMO用于UTRA FDD
Pub Date : 2018-10-03 DOI: 10.1201/9781420005929.ch8
Jyri Hämäläinen, R. Wichman, M. Kuusela, E. Tiirola, K. Pajukoski
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引用次数: 1
Multifunctional Reconfigurable Microelectro-mechanical Systems Integrated Antennas for Multiple Input Multiple Output Systems 多输入多输出系统的多功能可重构微机电系统集成天线
Pub Date : 2018-10-03 DOI: 10.1201/9781315222011-9
B. Cetiner
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引用次数: 0
期刊
MIMO System Technology for Wireless Communications
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