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.

The present disclosure relates to a system for use in a wireless network, the system including: a processor configured to determine a performance parameter representative of a performance of a model of radio resource management, the model operating on a radio access network environment; and a radio resource manager configured to perform radio resource management dependent on the performance parameter.

The present disclosure relates to a system for use in a wireless network, the system including: a processor configured to determine a performance parameter representative of a performance of a model of radio resource management, the model operating on a radio access network environment; and a radio resource manager configured to perform radio resource management dependent on the performance parameter.

A system described herein may receive a set of outputs of a first model, which have been generated by the first model based on a set of inputs, and identify a set of historical values that correspond to the set of inputs and the set of outputs. The inputs and the historical values may be associated with the same time series. The system may train a second model based on the set of inputs to the first model, the set of outputs of the first model, and the set of historical values that correspond to the set of inputs and the set of outputs. The system may determine, based on training the second model, a set of weights associated with the set of historical values; and refine the first model based on the set of weights associated with the set of historical value.

A system described herein may receive a set of outputs of a first model, which have been generated by the first model based on a set of inputs, and identify a set of historical values that correspond to the set of inputs and the set of outputs. The inputs and the historical values may be associated with the same time series. The system may train a second model based on the set of inputs to the first model, the set of outputs of the first model, and the set of historical values that correspond to the set of inputs and the set of outputs. The system may determine, based on training the second model, a set of weights associated with the set of historical values; and refine the first model based on the set of weights associated with the set of historical value.

Systems and methods to identify a growth classification/categorization for a geographic area that helps a network provider to solve for what types of planning opportunities are available at various area granularities is disclosed. The system computes values for a set of growth criteria for a geographic area. The growth criteria are related to planning, usability, customer experience, sales, population, and so on. Based on the growth-criteria values, the system identifies a classification/categorization for the area. For example, the system classifies an area as an invest area (e.g., requiring engineering action), a grow area (e.g., requiring sales action/being sales ready), a defend area (e.g., requiring engineering and sales actions to continue current trend), or a fix area (e.g., likely requiring both engineering and sales actions to improve current trend). Based on the area classification, the system can then provide actionable insights to drive improvement in network coverage and customer experience.

Systems and methods for telecommunications network coverage optimization are disclosed. The network coverage optimization system computes a usability index value for a geographic area using measured values of telecommunications network usability indicators. The telecommunications network usability indicators are related to network coverage (e.g., whether the user has enough bars and can make a call), quality of service (e.g., whether the speech and data quality are good), and data speed (e.g., the amount of buffering the user is experiencing). The telecommunications network usability indicators can be selected based on an importance rating associated with them. Then, for each geographic area, the network coverage optimization system computes a score value and a weight value for each selected telecommunications network usability indicator. Using the computed score values and the computed weight values, the network coverage optimization system computes a usability index value for the geographic area.

Systems and methods for telecommunications network coverage optimization are disclosed. The network coverage optimization system computes a usability index value for a geographic area using measured values of telecommunications network usability indicators. The telecommunications network usability indicators are related to network coverage (e.g., whether the user has enough bars and can make a call), quality of service (e.g., whether the speech and data quality are good), and data speed (e.g., the amount of buffering the user is experiencing). The telecommunications network usability indicators can be selected based on an importance rating associated with them. Then, for each geographic area, the network coverage optimization system computes a score value and a weight value for each selected telecommunications network usability indicator. Using the computed score values and the computed weight values, the network coverage optimization system computes a usability index value for the geographic area.

To reduce the signal processing performance degradation of a network node and/or to enhance the stability of the network node based on an appropriate estimate of equipment quantity in relation to communication traffic, a control device according to an embodiment of the present invention includes a first means for collecting, from a network node that processes traffic, traffic data that is information about the traffic and a second means for extracting, from the collected traffic data, a traffic feature value including the degree of the variation of the traffic. On the basis of the extracted traffic feature value, the second means calculates the amount of resources necessary for the network node to process the traffic.