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A Survey on MIMO Transmission With Finite Input Signals: Technical Challenges, Advances, and Future Trends

机译:有限输入信号MIMO传输技术课题、进展与未来趋势研究综述

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Multiple antennas have played an essential role in spatial multiplexing and diversity transmission for a wide range of communication applications. Most advances in the design of high-speed wireless multiple-input-multiple-output (MIMO) systems have been based on information-theoretic principles that demonstrate how to efficiently transmit signals conforming to Gaussian distribution. However, although the Gaussian signal is capacity-achieving, practical systems transmit signals belonging to finite and discrete constellations. Therefore, capacity-achieving transceiver processing based on a Gaussian input signal can be quite suboptimal for practical MIMO systems with discrete constellation input signals. To address this shortcoming, this paper aims to provide a comprehensive overview of MIMO transmission design with finite input signals. It first summarizes existing fundamental results for MIMO systems with finite input signals. Next, focusing on basic point-to-point MIMO systems, it examines transmission schemes based on the three most important criteria for communication systems: mutual-information-driven designs, mean-square-error-driven designs, and diversity-driven designs. In particular, a unified framework is developed for the design of low-complexity transmission schemes applicable to massive MIMO systems in forthcoming 5G wireless networks for the first time. Furthermore, adaptive transmission designs are proposed that switch among these criteria based on channel conditions to formulate the best transmission strategy. A survey is then given of transmission designs with finite input signals for multiuser MIMO scenarios, including MIMO uplink transmission, MIMO downlink transmission, MIMO interference channel, and MIMO wiretap channel. Additionally, transmission designs with finite input signals are discussed for other multi-antenna systems. Finally, a number of technical challenges that remain unresolved at the time of writing are highlighted, and future trends in transmission design with finite input signals are discussed.
机译:多天线在广泛的通信应用中的空间复用和分集传输中发挥了重要作用。高速无线多输入多输出 (MIMO) 系统设计的大多数进展都是基于信息理论原理,这些原理演示了如何有效地传输符合高斯分布的信号。然而,尽管高斯信号是容量实现的,但实际系统传输的信号属于有限和离散星座。因此,对于具有离散星座输入信号的实际MIMO系统来说,基于高斯输入信号的容量实现收发器处理可能非常不理想。针对这一缺点,本文旨在全面概述有限输入信号的MIMO传输设计。它首先总结了具有有限输入信号的MIMO系统的现有基本结果。接下来,重点介绍基本的点对点MIMO系统,根据通信系统的三个最重要标准(互信息驱动设计、均方误差驱动设计和分集驱动设计)来研究传输方案。特别是,首次为即将到来的5G无线网络中适用于大规模MIMO系统的低复杂度传输方案设计开发了一个统一的框架。此外,还提出了基于信道条件在这些标准之间切换的自适应传输设计,以制定最佳传输策略。然后,对多用户MIMO场景的有限输入信号传输设计进行了综述,包括MIMO上行传输、MIMO下行传输、MIMO干扰信道和MIMO窃听信道。此外,还讨论了其他多天线系统的有限输入信号传输设计。最后,本文强调了在撰写本文时仍未解决的一些技术挑战,并讨论了有限输入信号传输设计的未来趋势。

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