论文标题
人工智能启用了5G及以后的无线网络：最近的进步和未来挑战
Artificial Intelligence Enabled Wireless Networking for 5G and Beyond: Recent Advances and Future Challenges
论文作者
论文摘要
目前正在部署第五代（5G）无线通信网络，预计将在未来十年内开发5G（B5G）网络。人工智能（AI）技术，尤其是机器学习（ML）有可能通过涉及大量在B5G中处理的数据来有效解决非结构化且看似棘手的问题。本文研究了如何利用AI和ML进行B5G网络的设计和操作。我们首先对将AI/ML技术带入B5G无线网络所带来的最新进展和未来挑战进行了全面调查。我们的调查涉及无线网络设计和优化的不同方面，包括渠道测量，建模以及估算，物理层研究以及网络管理和优化。然后，审查了ML算法和对B5G网络的应用程序，然后概述将AI/ML算法应用于B5G网络的标准开发。我们根据将AI/ML应用于B5G网络的未来挑战来总结这项研究。
The fifth generation (5G) wireless communication networks are currently being deployed, and beyond 5G (B5G) networks are expected to be developed over the next decade. Artificial intelligence (AI) technologies and, in particular, machine learning (ML) have the potential to efficiently solve the unstructured and seemingly intractable problems by involving large amounts of data that need to be dealt with in B5G. This article studies how AI and ML can be leveraged for the design and operation of B5G networks. We first provide a comprehensive survey of recent advances and future challenges that result from bringing AI/ML technologies into B5G wireless networks. Our survey touches different aspects of wireless network design and optimization, including channel measurements, modeling, and estimation, physical-layer research, and network management and optimization. Then, ML algorithms and applications to B5G networks are reviewed, followed by an overview of standard developments of applying AI/ML algorithms to B5G networks. We conclude this study by the future challenges on applying AI/ML to B5G networks.
