迈向超越5G的未来无线网络,专注于室内定位

Q. Ahmed, M. Hafeez, F. Khan, P. Lazaridis
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引用次数: 13

摘要

未来的无线网络(FWNs)将需要将人工智能嵌入到5G以外的通信系统中,以便:(i)更智能地使用网络生成的数据;(ii)网络运营商的自动启用;以及(iii)服务提供商适应流量模式、安全风险和用户行为的变化。这些规定可以为安全可靠的下一代无线生态系统铺平道路。本文首先回顾了FWNs的现有和新兴方面,考虑了增强多天线和数据转发技术的方面;基于人工智能的现实天线阵自适应数字波束形成技术毫米波波段的通信;基于区块链的频谱管理和共享方法;以及利用机器学习提高体验质量,以维持5G以外生态系统的盈利运营。然后,本文的重点转向探索FWNs的本地化场景,并确定在设计室内本地化FWNs时哪些关键参数将发挥不可或缺的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards Beyond 5G Future Wireless Networks with focus towards Indoor Localization
Future wireless networks (FWNs) will require embedding artificial intelligence into beyond 5G communication systems for (i) smarter use of network-generated data; (ii) automated enabling of network operators; and (iii) service providers to adapt to changes in traffic patterns, security risks and user behaviour. These provisions can pave the way towards safe and reliable next-generation wireless ecosystems. The paper first reviews existing and emerging aspects of FWNs considering aspects for enhanced multi-antenna and data forwarding techniques; use of artificial intelligence for novel adaptive digital beamforming techniques for realistic antenna arrays; communications in the millimetre-wave bands; blockchain-based approach to spectrum management and sharing; and use of machine learning for enhanced quality of experience to sustain profitable operation of beyond 5G ecosystems. The focus of the paper is then steered towards exploring localization scenarios for FWNs and determining which key parameters will play an integral part when designing an indoor localized FWNs.
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