根据国际电信联盟关于IMT-2030愿景，第6代移动通信系统(the 6th generation mobile networks，6G)的覆盖服务需求将从单场景覆盖向多场景覆盖扩展，6G基础设施的部署也将逐步从2D覆盖向3D覆盖扩展、从局部覆盖向全球覆盖扩展、从中低频段融合使用向更高频段按需开启。上述需求使得6G在提升容量的同时，需要进一步考虑无线覆盖扩展需求。本文针对如何在6G网络结构时空尺度跨度大、全场景业务需求差异大、超密集覆盖能耗大等关键挑战下实现容量和能效约束下的覆盖能力扩展这一重大科学问题，首先提出了面向6G无线覆盖扩展的智能柔性组网架构;其次研究了面向6G无线覆盖扩展的关键技术，包括面向6G广域覆盖的多维立体空天地覆盖扩展技术、面向深度覆盖的超密集异构覆盖扩展技术和面向6G平滑度覆盖的超高速移动覆盖扩展技术;接着分析了基于语义通信的覆盖扩展技术;最后给出了 6G全场景无线覆盖扩展仿真验证，通过定义6G无线覆盖扩展技术指标体系，进行了典型场景的覆盖性能仿真验证。
6G wireless coverage extension technologies
According to the vision of the International Telecommunication Union about IMT-2030,the service demands of 6G will expand from single scenario to multiple scenarios,and the infrastructures of 6G will gradually expand from flat to three-dimensional,from local to global,and from mid-to-low frequency bands to higher frequency bands.This led to wireless coverage extension becoming one of the bottlenecks while increasing the capacity of 6G.This paper aims to achieve coverage extension under capacity and energy efficiency constraints in 6G networks when facing the key challenges of large spatiotemporal scale span of network structure,big differences in all scenario service quality,and high energy consumption of ultra-dense coverage.Firstly,an intelligent flexible networking architecture for 6G wireless coverage extension is proposed.Secondly,the key technologies for 6G wireless coverage extension are studied and summarized,including multi-dimensional and three-dimensional space-air-ground coverage extension technologies for 6G wide area coverage,ultra-dense heterogeneous coverage extension technologies for 6G deep coverage,and ultra high-speed mobile coverage extension technologies for 6G smoothness coverage.Thirdly,the semantic communication-based coverage extension technology is analyzed.Fourthly,simulation evaluation for 6G full scenario wireless coverage extension is provided.By defining the performance measure indicator system for 6G wireless coverage extension,the simulation evaluations of coverage performance for typical scenarios are given.
NETL
NSTL
万方数据
