US 11,991,091 B2
Network resource pre-allocation method, device, and system, and medium
Danmo Wang, Beijing (CN); Biao Long, Beijing (CN); Yue Sun, Beijing (CN); Jiayifan Liu, Beijing (CN); Liu Liu, Beijing (CN); Mingxue Li, Beijing (CN); Ke Yin, Beijing (CN); Linfeng Zhang, Beijing (CN); Qingyang Wang, Beijing (CN); Bo Wang, Beijing (CN); Ye Zhao, Beijing (CN); and Lei Cao, Beijing (CN)
Assigned to CHINA TELECOM CORPORATION LIMITED, Beijing (CN)
Appl. No. 17/921,252
Filed by CHINA TELECOM CORPORATION LIMITED, Beijing (CN)
PCT Filed Apr. 25, 2021, PCT No. PCT/CN2021/089722
§ 371(c)(1), (2) Date Oct. 25, 2022,
PCT Pub. No. WO2021/218873, PCT Pub. Date Nov. 4, 2021.
Claims priority of application No. 202010344798.7 (CN), filed on Apr. 27, 2020.
Prior Publication US 2023/0188475 A1, Jun. 15, 2023
Int. Cl. H04L 47/80 (2022.01); H04L 47/83 (2022.01)
CPC H04L 47/805 (2013.01) [H04L 47/83 (2022.05)] 9 Claims
OG exemplary drawing
 
1. A network resource pre-allocation method, comprising:
a network data analysis function (NWDAF) acquiring historical record information of a user accessing a service, and generating user service preference prediction and suggestion information according to the historical record information;
wherein the generating user service preference prediction and suggestion information according to the historical record information comprising:
the NWDAF acquiring preset user parameter information, grouping users based on the user parameter information and generating a plurality of groups, wherein the user parameter information comprises gender, user rating, education level, age and occupation; the NWDAF acquiring service preference information corresponding to the group users; and the NWDAF acquiring statistic and prediction information of the user service preference according to the historical record information and the service preference information; and
the NWDAF sending the user service preference prediction and suggestion information to a network function (NF) so that the NF pre-allocates a network resource according to the user service preference prediction and suggestion information; wherein;
the service comprises voice service and video service; and the user service preference prediction and suggestion information comprises a service that the user will use in a future time period, and suggestion information for a radio access technology (RAT) type or frequency used for this service.