Telecommunication services systems and methods are disclosed. The telecommunication services systems and methods preferably enable a buyer to certify and activate a used wireless telecommunications device. The systems and methods may also be employed to provide the buyer with specialized pricing options and other customized services.

Systems and methods for dynamically collecting information regarding network events in a 5G network are disclosed. The method includes locally storing event data initially and implementing post-event collection of the locally stored data when one or more collecting nodes become available.

A system for customizing time limits for inmate communications in a correctional facility is disclosed. The system includes a profile subsystem that stores an inmate profile of the inmate and a communication processing subsystem comprising one or more processors configured to receive data of an inmate communication of an inmate, identify a type of communication device of the inmate and a call recipient of the inmate communication based on the data of the inmate communication, retrieve the inmate profile of the inmate form the profile subsystem, identify a plurality of behaviors of the inmate based on the inmate profile, determine a time limit based on at least one of the type of communication device, the call recipient of the inmate communication, and the plurality of behaviors of the inmate, and assign the time limit to the inmate communication of the inmate.

The disclosed system identifies and resolves telecommunication network problems and/or problems with devices utilizing the network. The system segments the user devices into groups having similar characteristics, by grouping together devices more likely to leave the network, and devices less likely to leave the network. Each group of devices has a trained machine learning model, to predict the NEX score for each device. The system focuses on devices with a low NEX score. The system determines whether the problem is with the network and/or the problem is with the device. The system gathers information from network monitoring software and determine which tower caused, for example, the call to drop. The system determines technological capability of the device from the device TAC number. The system suggests solutions to the network problems by suggesting adding a sector, tuning an antenna, etc., or if the device has problems, adjusting phone settings.

The disclosed system identifies and resolves telecommunication network problems and/or problems with devices utilizing the network. The system segments the user devices into groups having similar characteristics, by grouping together devices more likely to leave the network, and devices less likely to leave the network. Each group of devices has a trained machine learning model, to predict the NEX score for each device. The system focuses on devices with a low NEX score. The system determines whether the problem is with the network and/or the problem is with the device. The system gathers information from network monitoring software and determine which tower caused, for example, the call to drop. The system determines technological capability of the device from the device TAC number. The system suggests solutions to the network problems by suggesting adding a sector, tuning an antenna, etc., or if the device has problems, adjusting phone settings.

A data packet processing method and apparatus, where a storage apparatus disposed on a network side stores a correspondence between an identifier and data flow characteristic information. When configuring a policy for a data packet including a first identifier, a network-side device requests the storage apparatus for data flow characteristic information corresponding to the first identifier. A policy and charging enforcement function (PCEF) receives a data packet that is sent by a user equipment (UE), matches the data packet against the data flow characteristic information, and when the data packet matches the data flow characteristic information, executes a policy on the data packet according to policy information corresponding to the first identifier.

Telecommunication services systems and methods are disclosed. The telecommunication services systems and methods preferably enable a buyer to certify and activate a used wireless telecommunications device. The systems and methods may also be employed to provide the buyer with specialized pricing options and other customized services.

The disclosed system identifies and resolves telecommunication network problems and/or problems with devices utilizing the network. The system segments the user devices into groups having similar characteristics, by grouping together devices more likely to leave the network, and devices less likely to leave the network. Each group of devices has a trained machine learning model, to predict the NEX score for each device. The system focuses on devices with a low NEX score. The system determines whether the problem is with the network and/or the problem is with the device. The system gathers information from network monitoring software and determine which tower caused, for example, the call to drop. The system determines technological capability of the device from the device TAC number. The system suggests solutions to the network problems by suggesting adding a sector, tuning an antenna, etc., or if the device has problems, adjusting phone settings.

A system for customizing time limits for inmate communications in a correctional facility is disclosed. The system includes a profile subsystem that stores an inmate profile of the inmate and a communication processing subsystem comprising one or more processors configured to receive data of an inmate communication of an inmate, identify a type of communication device of the inmate and a call recipient of the inmate communication based on the data of the inmate communication, retrieve the inmate profile of the inmate form the profile subsystem, identify a plurality of behaviors of the inmate based on the inmate profile, determine a time limit based on at least one of the type of communication device, the call recipient of the inmate communication, and the plurality of behaviors of the inmate, and assign the time limit to the inmate communication of the inmate.

Aspects of the subject disclosure may include, for example, a processing system including a processor with a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, the operations including: receiving an identity bridge file comprising records from a service provider, wherein each record includes one or more encrypted service identifiers for a customer, a customer location code of the customer, and an address location code of the customer; determining whether a tokenized identifier exists in a cross-reference table; responsive to a determination that the tokenized identifier does not exist in the cross-reference table: a) generating a new tokenized identifier; and b) adding a record to the cross-reference table comprising the new tokenized identifier, the customer location code, the address location code, and the one or more encrypted service identifiers; securing a usage record of a data usage log, wherein the usage record includes a unique usage identifier, wherein the securing comprises replacing the unique usage identifier with a matching tokenized identifier from the cross-reference table, resulting in secured usage records; and providing the secured usage records to data engineering. Other embodiments are disclosed.