5G Mobile Technologies and Early 6G Viewpoints

I. Petrov, T. Janevski
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引用次数: 5

Abstract

Design of each successor mobile technology assures improved and advanced functionality features compared to its predecessor. Machine Learning and generally Artificial Intelligence (AI) is becoming necessity for further expansion of the beyond 5G mobile world. AI-assisted IoT services, data collection, analytics and storage should become native in the beyond 5G era. 5G introduces New Radio (NR) in sub-6 GHz bands and also in mmWave bands above 24 GHz, network virtualization and softwarization, which means that Next Generation Core and 5G NR access network are built by using different functions in split user and control planes that introduces the network slicing approach. Enhanced Mobile Broadband (eMBB), massive Machine Type Communication (mMTC) and Ultra-Reliable Low-Latency Communication (URLLC), that are provided via separate network slices as logically separated network partitions are the key 5G services that constantly will increase the traffic volume and the number of connected devices. Terahertz and visible light communication and fundamental technologies like compressed sensing theory, new channel coding, large-scale antenna, flexible spectrum usage, AI-based wireless communication, special technical features as Space-Air-Ground-Sea integrated communication and wireless tactile network are few of the novelties that are expected to become a common network standard available beyond 2030.
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5G移动技术和早期6G视点
每一个后续移动技术的设计都保证了比其前身改进和先进的功能特征。机器学习和人工智能(AI)正在成为5G之后移动世界进一步扩张的必需品。在超5G时代,人工智能辅助的物联网服务、数据收集、分析和存储应该成为原生的。5G在6 GHz以下频段和24 GHz以上毫米波频段引入了新无线电(NR)、网络虚拟化和软件化,这意味着下一代核心和5G NR接入网是通过在分离的用户和控制平面中使用不同的功能来构建的,引入了网络切片方法。增强型移动宽带(eMBB)、大规模机器类型通信(mMTC)和超可靠低延迟通信(URLLC),通过单独的网络切片作为逻辑上分离的网络分区提供,是不断增加流量和连接设备数量的关键5G服务。太赫兹和可见光通信以及压缩感知理论、新信道编码、大规模天线、灵活频谱使用、基于人工智能的无线通信、空间-空-地-海综合通信和无线触觉网络等特殊技术特征等基础技术,有望在2030年以后成为通用网络标准。
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