AI Empowered Wireless Communications: From Bits to Semantics

IF 23.2 1区计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

Proceedings of the IEEE Pub Date : 2024-08-20 DOI:10.1109/JPROC.2024.3437730

Zhijin Qin;Le Liang;Zijing Wang;Shi Jin;Xiaoming Tao;Wen Tong;Geoffrey Ye Li

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引用次数: 0

Abstract

Artificial intelligence (AI) and machine learning (ML) have shown tremendous potential in reshaping the landscape of wireless communications and are, therefore, widely expected to be an indispensable part of the next-generation wireless network. This article presents an overview of how AI/ML and wireless communications interact synergistically to improve system performance and provides useful tips and tricks on realizing such performance gains when training AI/ML models. In particular, we discuss in detail the use of AI/ML to revolutionize key physical layer and lower medium access control (MAC) layer functionalities in traditional wireless communication systems. In addition, we provide a comprehensive overview of the AI/ML-enabled semantic communication systems, including key techniques from data generation to transmission. We also investigate the role of AI/ML as an optimization tool to facilitate the design of efficient resource allocation algorithms in wireless communication networks at both bit and semantic levels. Finally, we analyze major challenges and roadblocks in applying AI/ML in practical wireless system design and share our thoughts and insights on potential solutions.

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人工智能赋能无线通信：从比特到语义

人工智能（AI）和机器学习（ML）在重塑无线通信格局方面展现出巨大的潜力，因此被广泛认为是下一代无线网络不可或缺的一部分。本文概述了人工智能/ML 与无线通信如何协同互动以提高系统性能，并提供了在训练人工智能/ML 模型时实现性能提升的有用技巧和窍门。特别是，我们详细讨论了如何利用人工智能/ML 彻底改变传统无线通信系统中的关键物理层和较低的介质访问控制 (MAC) 层功能。此外，我们还全面概述了人工智能/ML 支持的语义通信系统，包括从数据生成到传输的关键技术。我们还研究了人工智能/移动语言作为优化工具在比特和语义层面上促进无线通信网络中高效资源分配算法设计的作用。最后，我们分析了在实际无线系统设计中应用人工智能/移动语言的主要挑战和障碍，并分享了我们对潜在解决方案的想法和见解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Proceedings of the IEEE 工程技术-工程：电子与电气

CiteScore

46.40

自引率

1.00%

发文量

160

审稿时长

3-8 weeks

期刊介绍： Proceedings of the IEEE is the leading journal to provide in-depth review, survey, and tutorial coverage of the technical developments in electronics, electrical and computer engineering, and computer science. Consistently ranked as one of the top journals by Impact Factor, Article Influence Score and more, the journal serves as a trusted resource for engineers around the world.