A Survey on MIMO Transmission With Finite Input Signals: Technical Challenges, Advances, and Future Trends
A Survey on MIMO Transmission With Finite Input Signals: Technical Challenges, Advances, and Future Trends
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有限输入信号的 MIMO 传输调查：技术挑战、进展和未来趋势
DOI：
10.1109/jproc.2018.2848363
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发表时间：
2017-04
期刊：
影响因子：
--
通讯作者：
Shi Jin
中科院分区：
文献类型：
--
作者：
Yongpeng Wu;Chengshan Xiao;Zhi Ding;Xiqi Gao;Shi Jin
在广泛的通信应用中，多天线在空间复用和分集传输中起着至关重要的作用。在高速无线多输入多输出(MIMO)系统的设计中，大多数进展都是基于信息论原理，该原理演示了如何有效地传输符合高斯分布的信号。然而，虽然高斯信号是实现容量的，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，基于高斯输入信号的容量实现收发处理可能是相当次优的。针对这一缺点，本文对有限输入信号下的MIMO传输设计进行了全面的综述。首先总结了有限输入信号多输入多输出系统已有的基本结果。然后，以基本的点对点多输入多输出系统为研究对象，研究了基于三个最重要的通信系统准则的传输方案：互信息驱动设计、均方误差驱动设计和分集驱动设计。特别是，首次为适用于即将到来的5G无线网络中的大规模MIMO系统的低复杂度传输方案的设计开发了统一的框架。此外，还提出了基于信道条件在这些准则之间进行切换的自适应传输设计，以制定最佳传输策略。然后给出了针对多用户MIMO场景的有限输入信号传输设计的综述，包括MIMO上行链路传输、MIMO下行链路传输、MIMO干扰信道和MIMO窃听信道。此外，还讨论了其他多天线系统在有限输入信号下的传输设计。最后，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。
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.
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