According to an example aspect of the present invention, there is provided a method comprising, receiving, from a first data endpoint of a radio access network, a representation of a local model of the first data endpoint of the radio access network, determining multiple common models for endpoints of the radio access network, selecting, based on the representation of the local model of the first data endpoint, one of said multiple common models for the first data endpoint and transmitting the selected common model to the first data endpoint, any other data endpoint or any other external system which utilizes the selected common model.

Systems, methods, and non-transitory, machine-readable media may facilitate multi-environment cellular network slice testing. A cloud-based test environment may be created and may include multiple cellular network components executed on a cloud-based computing platform. One or more slice testing requests may be received from a service provider system. Responsive to the one or more slice testing requests, one or more network slices may be created, where the one or more network slices may correspond to one or more portions of a cellular network. Slice testing may be performed with the one or more network slices within the cloud-based test environment. Results of the slice testing using the one or more network slices may be obtained.

Systems, methods, and non-transitory, machine-readable media may facilitate multi-environment cellular network slice testing. A cloud-based test environment may be created and may include multiple cellular network components executed on a cloud-based computing platform. One or more slice testing requests may be received from a service provider system. Responsive to the one or more slice testing requests, one or more network slices may be created, where the one or more network slices may correspond to one or more portions of a cellular network. Slice testing may be performed with the one or more network slices within the cloud-based test environment. Results of the slice testing using the one or more network slices may be obtained.

An electronic device is provided. The electronic device includes a communication circuit, a memory configured to store a learning model, and at least one processor, wherein the at least one processor is configured to obtain data related to a network situation of a base station from the communication circuit, calculate a performance indicator value related to network performance according to a performance indicator, based on the data related to the network situation, train the model, based on the performance indicator value calculated according to the performance indicator, determine an off threshold of traffic for turning off a cell, based on the trained model, and transmit the determined off threshold to the base station via the communication circuit.

An electronic device is provided. The electronic device includes a communication circuit, a memory configured to store a learning model, and at least one processor, wherein the at least one processor is configured to obtain data related to a network situation of a base station from the communication circuit, calculate a performance indicator value related to network performance according to a performance indicator, based on the data related to the network situation, train the model, based on the performance indicator value calculated according to the performance indicator, determine an off threshold of traffic for turning off a cell, based on the trained model, and transmit the determined off threshold to the base station via the communication circuit.

In a method for managing proper operation of a base station, a base station data model is established to realize remote monitoring integration of different base stations; a key performance indicator (KPI) and an alarm event uploaded by the base stations are collected through the base station data model; cells covered by the base stations are grouped, and a health management model for base station operation is built based on cell grouping, KPI, and the alarm event. KPIs and the alarm events uploaded by the base stations are received, and a health level of each base station is updated according to the base station health management model.

Systems, methods, and non-transitory, machine-readable media may facilitate multi-environment cellular network development and testing. A plurality of cloud-based environments that are configured according to an hierarchical order and that allow for development and/or testing of features and/or services with respect to a cellular network may be created. The plurality of cloud-based environments may be communicatively coupled to one or more software repositories via a first plurality of pipelines. The plurality of cloud-based environments may be communicatively coupled to one or more issue monitors via a second plurality of pipelines. The plurality of cloud-based environments may be exposed to service provider systems and allowing the service provider systems to develop and/or test features and/or services with respect to the cellular network within the plurality of cloud-based environments.

The disclosed system and method obtain a report of an issue reported by a user of the wireless telecommunication network, and historical information associated with the user and the wireless telecommunication network. The historical information includes multiple issues reported by users similar to the user, and multiple user statuses associated with the users similar to the user. The user status among the multiple user statuses includes active and inactive, indicating whether the user is an active member of the telecommunication network or has left the network. The system provides the historical information to an AI model, and obtains from the AI model a priority associated with the issue experienced by the user. The system causes a resolution of the issue based on the priority.

The disclosed system and method obtain a report of an issue reported by a user of the wireless telecommunication network, and historical information associated with the user and the wireless telecommunication network. The historical information includes multiple issues reported by users similar to the user, and multiple user statuses associated with the users similar to the user. The user status among the multiple user statuses includes active and inactive, indicating whether the user is an active member of the telecommunication network or has left the network. The system provides the historical information to an AI model, and obtains from the AI model a priority associated with the issue experienced by the user. The system causes a resolution of the issue based on the priority.

A communication apparatus that performs wireless communication obtains information of a channel with a possibility of interference in wireless communication that is output based on position information of the communication apparatus, position information of a source of a radio wave which has a possibility of interference in the wireless communication, and time information, and selects a channel to be used in the wireless communication. Whether a channel corresponding to the obtained channel information is the currently selected channel is determined, and the currently selected channel is changed to a channel other than the channel corresponding to the obtained channel information if the channel corresponding to the obtained channel information is the same channel as the currently selected channel. If communication is being performed, it is determined after the communication whether the channel corresponding to the obtained channel information is the same channel as the currently selected channel.