Institute of High Performance Computing and Networking, National Research Council of Italy, 80131 Napoli, Italy.
Sensors (Basel). 2021 Dec 31;22(1):309. doi: 10.3390/s22010309.
The current wireless communication infrastructure has to face exponential development in mobile traffic size, which demands high data rate, reliability, and low latency. MIMO systems and their variants (i.e., Multi-User MIMO and Massive MIMO) are the most promising 5G wireless communication systems technology due to their high system throughput and data rate. However, the most significant challenges in MIMO communication are substantial problems in exploiting the multiple-antenna and computational complexity. The recent success of RL and DL introduces novel and powerful tools that mitigate issues in MIMO communication systems. This article focuses on RL and DL techniques for MIMO systems by presenting a comprehensive review on the integration between the two areas. We first briefly provide the necessary background to RL, DL, and MIMO. Second, potential RL and DL applications for different MIMO issues, such as detection, classification, and compression; channel estimation; positioning, sensing, and localization; CSI acquisition and feedback, security, and robustness; mmWave communication and resource allocation, are presented.
当前的无线通信基础设施必须面对移动流量规模的指数级增长，这需要高数据速率、可靠性和低延迟。MIMO 系统及其变体（即多用户 MIMO 和大规模 MIMO）是最有前途的 5G 无线通信系统技术，因为它们具有高系统吞吐量和数据速率。然而，MIMO 通信中最显著的挑战是在利用多天线和计算复杂性方面存在重大问题。RL 和 DL 的最新成功引入了新的强大工具，可以缓解 MIMO 通信系统中的问题。本文通过对这两个领域的综合回顾，重点介绍了用于 MIMO 系统的 RL 和 DL 技术。我们首先简要介绍了 RL、DL 和 MIMO 的必要背景。其次，介绍了 RL 和 DL 在不同 MIMO 问题（如检测、分类和压缩；信道估计；定位、感知和定位；CSI 获取和反馈、安全性和鲁棒性；mmWave 通信和资源分配）中的潜在应用。
