US 12,363,048 B2
Congestion control method, apparatus, and system, and computer storage medium
Haonan Ye, Nanjing (CN); Liang Zhang, Nanjing (CN); Jian Cheng, Nanjing (CN); and Jun Wu, Nanjing (CN)
Assigned to HUAWEI TECHNOLOGIES CO., LTD., Shenzhen (CN)
Filed by Huawei Technologies Co., Ltd., Shenzhen (CN)
Filed on Apr. 24, 2023, as Appl. No. 18/305,421.
Application 18/305,421 is a continuation of application No. 17/244,256, filed on Apr. 29, 2021, granted, now 11,671,368.
Claims priority of application No. 202010358527.7 (CN), filed on Apr. 29, 2020.
Prior Publication US 2023/0261993 A1, Aug. 17, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. H04L 47/12 (2022.01); H04L 41/14 (2022.01); H04L 47/11 (2022.01); H04L 47/33 (2022.01)
CPC H04L 47/33 (2013.01) [H04L 41/14 (2013.01); H04L 47/11 (2013.01); H04L 47/12 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method implemented by a network device and comprising:
inputting first network status information of the network device in a first time period into an explicit congestion notification (ECN) inference model;
obtaining, based on the first network status information, an inference result from the ECN inference model, wherein the inference result comprises an original ECN configuration parameter;
sending, to an analysis device that manages the network device, an ECN parameter sample comprising a target ECN configuration parameter, wherein the target ECN configuration parameter is based on the inference result; and
receiving, from the analysis device and based on training with the ECN parameter sample, an updated ECN inference model.