US 12,218,805 B2
Information processing method, method for generating and training module, electronic device, and medium
Dajiang Wang, Shenzhen (CN); Youdao Ye, Shenzhen (CN); Xikun Yang, Shenzhen (CN); Weiqing Li, Shenzhen (CN); and Zhenyu Wang, Shenzhen (CN)
Assigned to ZTE CORPORATION, Shenzhen (CN)
Appl. No. 18/253,130
Filed by ZTE CORPORATION, Shenzhen (CN)
PCT Filed Sep. 7, 2021, PCT No. PCT/CN2021/116968
§ 371(c)(1), (2) Date May 16, 2023,
PCT Pub. No. WO2022/105374, PCT Pub. Date May 27, 2022.
Claims priority of application No. 202011312980.0 (CN), filed on Nov. 20, 2020.
Prior Publication US 2024/0015077 A1, Jan. 11, 2024
Int. Cl. G06F 15/173 (2006.01); H04L 41/14 (2022.01); H04L 41/147 (2022.01)
CPC H04L 41/147 (2013.01) [H04L 41/145 (2013.01)] 17 Claims
OG exemplary drawing
 
1. A method for information processing, comprising,
acquiring a transmission parameter of service information in a network,
wherein the transmission parameter is indicative of transmission performance of the service information in the network; and
generating a Graph Convolutional Network (GCN) model according to transmission path information of the service information in the network, the transmission path information comprises head node information and end node information, and generating the GCN model according to the transmission path information of the service information in the network comprises,
creating a plurality of input nodes according to the head node information and the end node information;
connecting at least two input nodes among the plurality of input nodes having a same-source relationship or a same-destination relationship, to acquire the GCN model; and
predicting transmission performance of the transmission parameter by means of a pre-trained network model,
wherein the network model comprises the GCN model, so as to be consistent with a network topology for transmitting service information;
the GCN model comprises the plurality of input nodes configured to input at least one transmission parameter, the plurality of input nodes corresponds to the transmission path information; and each of the plurality of input nodes corresponds to a respective one of a plurality of service transmission paths in the network topology comprising a plurality of network nodes with a service transmission path formed between adjacent ones of the plurality of network nodes; and
at least two input nodes of the plurality of input nodes having a same-source relationship or a same-destination relationship are connected; wherein the same-source relationship indicates at least two of the plurality of service transmission paths have a same source node, the same-destination relationship at least two of the plurality of service transmission paths have a same destination node.