Artificial intelligence (AI) has become a promising solution for meeting the stringent performance requirements on wireless physical layer in sixth-generation (6G) communication systems, due to its strong ability to learn complex model, achieve end-to-end optimization and adapt to dynamic environments. This article provides a comprehensive review with respect to artificial intelligence for wireless physical-layer technologies (AI4PHY). Specifically, we first analyze the characteristics of the classic AI techniques and their potential applications for physical-layer technologies. Then we study the AI-enhanced designs from the point of view of the basic physical-layer modules, including coding, modulation, multiple access, multiple-input-multiple-output (MIMO), channel estimation, as well as relay transmission. The standardization progress of AI4PHY in 3GPP is also discussed. Based on the current AI4PHY researches, we propose some potential future research directions to inspire and encourage the further exploration.

中文翻译：

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无线物理层技术人工智能 (AI4PHY)：综合调查


人工智能（AI）因其强大的学习复杂模型、实现端到端优化和适应环境的能力，已成为满足第六代（6G）通信系统中无线物理层严格性能要求的有前景的解决方案。动态环境。本文对无线物理层技术 (AI4PHY) 的人工智能进行了全面回顾。具体来说，我们首先分析经典人工智能技术的特点及其在物理层技术的潜在应用。然后，我们从基本物理层模块的角度研究人工智能增强设计，包括编码、调制、多址、多输入多输出（MIMO）、信道估计以及中继传输。还讨论了3GPP中AI4PHY的标准化进展。基于当前的 AI4PHY 研究，我们提出了一些潜在的未来研究方向，以启发和鼓励进一步的探索。