US 12,345,849 B2
Method for distinguishing sunny-rainy weather based on time division long-term evolution network
Kang Pu, Changsha (CN); Xichuan Liu, Changsha (CN); and Lei Liu, Changsha (CN)
Assigned to National University of Defense Technology, Changsha (CN)
Filed by National University of Defense Technology, Changsha (CN)
Filed on Dec. 30, 2022, as Appl. No. 18/149,004.
Application 18/149,004 is a continuation of application No. PCT/CN2021/136788, filed on Dec. 9, 2021.
Claims priority of application No. 202111184976.5 (CN), filed on Oct. 12, 2021.
Prior Publication US 2023/0161071 A1, May 25, 2023
Int. Cl. H04L 41/16 (2022.01); G01W 1/06 (2006.01); H04W 24/08 (2009.01)
CPC G01W 1/06 (2013.01) [H04L 41/16 (2013.01); H04W 24/08 (2013.01)] 9 Claims
OG exemplary drawing
 
1. A method for distinguishing sunny-rainy weather based on a time division long-term evolution network, comprising:
constructing a sunny-rainy discrimination model, and inputting a sunny-rainy feature and a sunny-rainy label matrix into the sunny-rainy discrimination model for training; and
analyzing credibility of rainfall events in a coverage area of a base station based on the trained rain-sunny discrimination model.