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Space-time processing for wireless communications

机译:无线通信的时空处理

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Space-time processing can improve network capacity, coverage, and quality by reducing co-channel interference (CCI) while enhancing diversity and array gain. This article focuses largely on the receive (mobile-to-base station) time-division multiple access (TDMA) (nonspread modulation) application for high-mobility networks. We describe a large (macro) cell propagation channel and discuss different physical effects such as path loss, fading delay spread, angle spread, and Doppler spread. We also develop a signal model incorporating channel effects. Both forward-link (transmit) and reverse-link (receive) channels are considered and the relationship between the two is discussed. Single- and multiuser models are treated for four important space-time processing problems, and the underlying spatial and temporal structure are discussed as are different algorithmic approaches to reverse link space-time professing with blind and nonblind methods for single- and multiple-user cases. We cover forward-link space-time algorithms and we outline methods for estimation of multipath parameters. We also discuss applications of space-time processing to CDMA, applications of space-time techniques to current cellular systems, and industry trends.
机译:时空处理可以通过减少同信道干扰(CCI)来提高网络容量,覆盖范围和质量,同时提高分集和阵列增益。本文主要针对高移动性网络的接收(移动到基站)时分多址(TDMA)(非扩展调制)应用程序。我们描述了一个大的(宏)小区传播通道,并讨论了不同的物理效应,例如路径损耗,衰落延迟扩展,角度扩展和多普勒扩展。我们还开发了包含通道效应的信号模型。前向(发送)和反向(接收)通道均被考虑,并且讨论了两者之间的关系。针对四个重要的时空处理问题处理了单用户和多用户模型,并讨论了潜在的时空结构,以及针对单用户和多用户情况使用盲法和非盲法反向链接时空的不同算法方法。我们介绍了前向链接时空算法,并概述了估计多径参数的方法。我们还将讨论时空处理在CDMA中的应用,时空技术在当前蜂窝系统中的应用以及行业趋势。

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