6G网络和人工智能革命 - - 探索技术,应用和新兴挑战
Robin Chataut1, Mary Nankya2, Robert Akl3
1School of Computing and Engineering, Quinnipiac University, Hamden, CT 06518, USA.
Sensors (Basel, Switzerland)
|March 28, 2024
概括
第六代 (6G) 无线网络将彻底改变连接,将人工智能 (AI) 和机器学习 (ML) 整合到智能,自我优化系统中. 这项探索涵盖了未来6G网络的关键技术,好处和挑战.
科学领域:
- 无线通信无线通信
- 网络工程 网络工程
- 未来的技术 未来的技术
背景情况:
- 移动网络已经从1G发展到5G,这是由于对速度,可靠性和效率的需求日益增加所致.
- 5G网络正在为全球互联的世界奠定基础,促使对下一代系统的研究.
- 无线技术的不断进步需要探索第六代 (6G) 网络.
研究的目的:
- 提供对6G网络的层次探索,详细介绍其关键特性,好处和支持技术.
- 分析尖端创新,如太赫兹通信,超大质量MIMO,AI,ML,量子通信和可重新配置的智能表面.
- 评估这些技术的优势,弱点和当前研究状况,提供对6G潜在应用的见解.
主要方法:
- 对6G网络概念的层次探索.
- 关键启用技术的剖析,包括太赫兹通信,超大质量MIMO,AI,ML,量子通信和可重新配置的智能表面.
- 仔细分析研究,优势,弱点和潜在的应用.
主要成果:
- 6G网络准备整合AI和ML,为增强的移动宽带和智能城市和自主系统等应用程序提供前所未有的功能.
- 诸如太赫兹通信和可重新配置的智能表面等关键启用技术对于6G的发展至关重要.
- 人工智能和机器学习的整合是创建智能,自我优化6G网络的核心.
结论:
- 由AI和ML驱动的6G网络承诺重新定义连接和数字交互,开启智能通信时代.
- 解决技术和监管方面的挑战对于成功部署6G网络至关重要.
- 这项研究作为一个基础资源,突出了6G和AI之间的协同作用,并刺激了这一不断发展的领域的进一步研究.
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