Review of 6G Wireless Communication System With Artificial Intelligence

IF 0.5 Q4 TELECOMMUNICATIONS
Suman Turpati, B. Geetha Rani, A. V. Prabu, Amrit Mukherjee, Sudan Jha, K. C. T. Swamy
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引用次数: 0

Abstract

Wireless communication has been in high demand over the last decades. Soon, the globe will be equipped with fifth-generation (5G) communications, which provide an incredible number of additional capabilities compared to fourth-generation communications. An innovative paradigm has evolved with the combination of artificial intelligence (AI) with sixth-generation (6G) communication networks in response to the increasing need for intelligent communication and seamless connection. This integration enables optimum resource allocation and greater efficiency. It also enhances adaptive system performance by incorporating AI across multiple network layers. The next generation of wireless networks must address many fundamental issues, including increasing system capacity, data throughput, latency, security, and quality of service in comparison to 5G. This article provides a through review of the vision of future 6G network AI and wireless communication architecture, touching on their conceptual foundations, inherent difficulties, and potential fields for further study. Some new technologies discussed in this article include AI, terahertz communications, free-space optical networks, blockchain, quantum communications, drones, mobile free communications, integrated sensing and communication, dynamic network slicing, big data analytics, and wireless optical technology. This could all be useful in ensuring the quality of service in the 6G architecture development. Furthermore, we provide a concise overview of the AI standardization process for wireless networks, focusing on essential achievements and current initiatives. We also examine the significant obstacles that 6G's AI and communication integration encountered. Lastly, we provide an overview of prospective future studies that ideally promote advancing and improving AI and 6G communications by describing possible obstacles and possibilities.

基于人工智能的6G无线通信系统综述
在过去的几十年里,无线通信的需求一直很高。很快,全球将配备第五代(5G)通信,与第四代通信相比,它提供了令人难以置信的额外功能。人工智能(AI)与第六代(6G)通信网络相结合,为应对日益增长的智能通信和无缝连接需求,形成了一种创新范式。这种集成可以实现最佳的资源分配和更高的效率。它还通过跨多个网络层整合人工智能来增强自适应系统性能。下一代无线网络必须解决许多基本问题,包括与5G相比增加系统容量、数据吞吐量、延迟、安全性和服务质量。本文全面回顾了未来6G网络人工智能和无线通信架构的愿景,触及了它们的概念基础、固有困难和潜在的进一步研究领域。本文讨论的一些新技术包括人工智能、太赫兹通信、自由空间光网络、区块链、量子通信、无人机、移动自由通信、集成传感与通信、动态网络切片、大数据分析和无线光学技术。这些都有助于确保6G架构开发中的服务质量。此外,我们简要概述了无线网络的人工智能标准化过程,重点介绍了基本成就和当前举措。我们还研究了6G人工智能和通信集成遇到的重大障碍。最后,我们概述了未来的前瞻性研究,通过描述可能的障碍和可能性,理想地促进推进和改善人工智能和6G通信。
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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CiteScore
3.10
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