Multiple telecommunication endpoints system and testing method thereof based on ai decision

A telecommunication endpoint device, comprising:

• a transmission interface;
• a channel emulator;
• a telecommunication signal module;
• an antenna;
• and
• a control device, being configured to execute the following operations:
• generating a test signal corresponding to a test environment parameter which is set by an artificial intelligence (AI) decision controller via the telecommunication signal module;
• transmitting the test signal to at least one radio frequency (RF) communication device under test via the antenna to perform a communication test with the at least one RF communication device under test;
• receiving a feedback signal from the at least one RF communication device under test via the antenna;
• and
• transmitting the feedback signal to the AI decision controller via the transmission interface to make the AI decision controller perform an efficiency analysis on a result of the communication test.

An artificial intelligence (AI) decision based multiple telecommunication endpoints system, comprising:

• a telecommunication endpoint device being configured to perform a communication test with the at least one radio frequency (RF) communication device under test;
• and
• an AI decision controller being electrically connected to the telecommunication endpoint device to control the communication test, performing an efficiency analysis on a result of the communication test, and generating a decision instruction according to a result of the efficiency analysis, the AI decision controller comprising:
• a telecommunication endpoint simulator, configured to set a test environment parameter of a telecommunication endpoint device, the telecommunication endpoint device generating a test signal corresponding to the test environment parameter;
• a plurality of AI modules which comprising a configuration of a recommendation AI module and a backup AI module, the configuration corresponding to the test environment parameter, wherein each of the AI modules generates a prediction signal corresponding to the test environment parameter respectively;
• a data analysis unit, being configured to perform the efficiency analysis by comparing a feedback signal and each of the prediction signal;
• a decision unit, being configured to generate the decision instruction according to a difference value of each of the prediction signal and the feedback signal so as to adjust the configuration;
• and
• a main controller, being electrically connected to the telecommunication endpoint simulator, the AI modules, the data analysis unit, and the decision unit.