Optimization method and apparatus in unmanned aerial vehicle based communication network

A method of a first communication node, comprising:

• receiving, from a second communication node, an initiation signal indicating to initiate a collection procedure of training data of a neural network;
• in response to the initiation signal, transmitting, to the second communication node, an information signal including network parameters of the first communication node;
• receiving, from the second communication node, the training data in response to the information signal;
• training the neural network using the training data;
• determining optimal network parameters using the trained neural network;
• and
• performing communication with the second communication node using the optimal network parameters.

A method of a second communication node, comprising:

• transmitting, to a first communication node, an initiation signal indicating to initiate a collection procedure of training data for a neural network;
• in response to the initiation signal, receiving, from the first communication node, an information signal including network parameters of the first communication node;
• generating the training data based on the information signal;
• training the neural network using the training data;
• determining optimal network parameters using the trained neural network;
• and
• transmitting information on the optimal network parameters to the first communication terminal.