System and method of managing data connections to a communication network using tiered devices and telemetry data

A method of managing data connections to a communication network;

• comprising:
• with the execution of computer code associated with an evolved packet core by a processor, initiating a tiered communication network access policy by:
• detecting the connection of each of a plurality of endpoint devices to a communication network via one of a plurality of access points;
• and
• determining if a communication channel among a plurality of communication channels is available on the communication network for each of the endpoint devices based on a tier assigned to each of the endpoint devices;
• with the execution of computer code associated with a telemetry data module:
• receiving telemetry data descriptive of the use characteristics of the endpoint devices;
• and
• executing a machine learning algorithm using the telemetry data to generate a network prediction model;
• and
• with the execution of computer code associated with a reallocation module:
• based on the tier assigned to the endpoint device, determining which communication channel among a plurality of communication channels to allow the endpoint device to access the communication network with;
• and
• predicting network resource use across the communication channels of the communication network based on the network prediction model and, with the reallocation module, reallocate endpoint devices based on the predicted network resource use.

A communication network backend server, comprising:

• a processor;
• a memory;
• a telemetry data module including computer code executed by the processor to maintain a telemetry database and to receive telemetry data from a plurality of endpoint devices communicatively coupled to the communication network backend server via a communication network, the telemetry data including data descriptive of the use characteristics of each of the plurality of endpoint devices;
• an evolved packet core including computer code executed by the processor to initiate a tiered communication network access policy by:
• detecting the connection of each of a plurality of endpoint devices to a communication network via a first access point of a plurality of access points;
• and
• determining if a communication channel among a plurality of communication channels is available on the communication network for each of the endpoint devices based on a tier assigned to each of the endpoint devices;
• a machine learning module including computer code executed by the processor to:
• receive the telemetry data;
• and
• execute a machine learning algorithm using the telemetry data to generate a network prediction model;
• an access point management module including computer code executed by the processor to:
• receive metadata from a first endpoint device among the plurality of endpoint devices, the metadata comprising use characteristics of the first endpoint device among the plurality of endpoint devices;
• pass the metadata through an access point prediction module including computer code executed by the processor to develop an access point prediction;
• and
• reallocate the first endpoint device to a second access point among the plurality of access points based on the prediction from the access point prediction module.