Machine learning (ML) optimization for 5G connected and automated mobility (CAM) services

A data processing system adapted for 5G connected and automated mobility (CAM) services modeling for optimization, the system comprising:

• a host computing platform comprising one or more computers, each with memory and one or processing units including one or more processing cores;
• and,
• a CAM services optimization module comprising computer program instructions enabled while executing in the memory of at least one of the processing units of the host computing platform to perform:
• defining different 5G communications network configuration parameters configuring a 5G cellular communications network encompassing a geographic region supporting vehicle movements;
• assigning different values to each of the different parameters in different sets of network configurations and correlating each of the different sets with corresponding CAM performance metrics of the vehicle movements;
• storing the correlated sets in a data structure;
• and,
• querying the data structure with a new set of values for the parameters and receiving in response to the querying, correlated ones of the corresponding CAM performance metrics.

A computing device comprising a non-transitory computer readable storage medium having program instructions stored therein, the instructions being executable by at least one processing core of a processing unit to cause the processing unit to perform 5G connected and automated mobility (CAM) services modeling for optimization, including:

• defining different 5G communications network configuration parameters configuring a 5G cellular communications network encompassing a geographic region supporting vehicle movements;
• assigning different values to each of the different parameters in different sets of network configurations and correlating each of the different sets with corresponding CAM performance metrics of the vehicle movements;
• storing the correlated sets in a data structure;
• and,
• querying the data structure with a new set of values for the parameters and receiving in response to the querying, correlated ones of the corresponding CAM performance metrics.