TY - JOUR
T1 - 6G 无线覆盖扩展技术
AU - Xu, Xiaodong
AU - Han, Shujun
AU - Zhao, Yun
AU - Wang, Jingxian
AU - He, Ruisi
AU - Wang, Desheng
AU - Hou, Yanzhao
AU - Fei, Zesong
AU - Zhang, Xuefei
AU - Hou, Liming
AU - Guo, Jing
AU - Ai, Bo
AU - Niu, Yong
AU - Xiong, Ke
AU - Wang, Fanggang
AU - Zhang, Jiayi
AU - Shen, Xia
AU - Du, Ying
AU - Liu, Ling
AU - Du, Qinghe
AU - Wang, Bizhu
AU - Sun, Mengying
AU - Zhang, Jingxuan
AU - Tan, Li
N1 - Publisher Copyright:
© 2024 Science China Press. All rights reserved.
PY - 2024/5
Y1 - 2024/5
N2 - 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.
AB - 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.
KW - 6G
KW - key technologies
KW - metrics
KW - networking architecture
KW - wireless coverage extension
UR - http://www.scopus.com/inward/record.url?scp=85194945863&partnerID=8YFLogxK
U2 - 10.1360/SSI-2023-0346
DO - 10.1360/SSI-2023-0346
M3 - 文章
AN - SCOPUS:85194945863
SN - 1674-7267
VL - 54
SP - 1144
EP - 1176
JO - Scientia Sinica Informationis
JF - Scientia Sinica Informationis
IS - 5
ER -