Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a network node may obtain a machine learning (ML) model trained to provide one or more predicted channel interference (CI) indicators informative of channel interference between cells of a cellular network. The network node may calculate, using the ML model, the one or more predicted CI indicators using data characterizing a given cell and one or more neighbor cells of the given cell. The network node may provide the one or more predicted CI indicators. Numerous other aspects are described.

Abstract: A system and method for detecting providing a multi-region software as a service model in a cloud computing system, including for example, obtaining a list of allowed regions that can host data of a user from a source region; and automatically assigning a device associated with a new user from the source region to a computing system located in one of the allowed regions. The source region may be determined based on location information obtained from the device during registration.

Abstract: There is provided a method and system to control traffic in a cellular network comprising a plurality of access points (APs) serving a plurality of user equipment devices (UEs). The method comprises: continuously obtaining data informative of NW KPIs derived from network data related to at least part of APs; continuously obtaining data informative of one or more UE KPIs derived from user equipment data related to at least part of the UEs; and processing the one or more NW KPIs together with the one or more UE KPIs to identify AP(s) requiring corrective action. The method can further comprise enabling, with regard to the identified AP(s), desirable corrective actions to improve the UE KPIs related to the identified AP(s) whilst to keep the NW KPIs related to the identified AP(s) as matching one or more predefined thresholds.

Abstract: There is provided a method and system to control traffic in a cellular network comprising a plurality of access points (APs) serving a plurality of user equipment devices (UEs). The method comprises: continuously obtaining data informative of NW KPIs derived from network data related to at least part of APs; continuously obtaining data informative of one or more UE KPIs derived from user equipment data related to at least part of the UEs; and processing the one or more NW KPIs together with the one or more UE KPIs to identify AP(s) requiring corrective action. The method can further comprise enabling, with regard to the identified AP(s), desirable corrective actions to improve the UE KPIs related to the identified AP(s) whilst to keep the NW KPIs related to the identified AP(s) as matching one or more predefined thresholds.

Abstract: There are provided a method and system to control traffic in a cellular network comprising a plurality of access points (APs) serving a plurality of user equipment devices (UEs). The method comprises: using a machine learning (ML) model to classify at least part of the APs in accordance with a first part of AP metrics thereof, thereby giving rise to a plurality of classes, each comprising peering APs; for a given class, processing AP performance metrics of peering APs classified to the given class to identify, among them, one or more first APs with negative performance variations above a variation threshold and, thereby, requiring corrective actions; and enabling one or more corrective actions with regard to the identified one or more first APs.

Abstract: A system and method for detecting providing a multi-region software as a service model in a cloud computing system, including for example, obtaining a list of allowed regions that can host data of a user from a source region; and automatically assigning a device associated with a new user from the source region to a computing system located in one of the allowed regions. The source region may be determined based on location information obtained from the device during registration.

Abstract: There are provided a method and system of controlling traffic in a cellular network comprising at least one site characterized by a plurality of cells sharing a common antenna and operating in different frequencies. The method comprises processing performance-related data and network topology-related to obtain, for each cell of the plurality of cells, a performance score, thus giving rise to a set of frequency-dependent scores associated with the shared antenna; and enabling provisioning of the shared antenna in accordance with the set of frequency-dependent scores associated with the shared antenna.

Abstract: There are provided a method and system of controlling traffic in a cellular network comprising at least one site characterized by a plurality of cells sharing a common antenna and operating in different frequencies. The method comprises processing performance-related data and network topology-related to obtain, for each cell of the plurality of cells, a performance score, thus giving rise to a set of frequency-dependent scores associated with the shared antenna; and enabling provisioning of the shared antenna in accordance with the set of frequency-dependent scores associated with the shared antenna.

Abstract: The application describes a method for detecting a behavior of interest in a surrounding including at least one telecommunication network, by using approach of Immune Engineering. The method comprises steps of analyzing the behavior of interest by building a characterizing data string called DNA which comprises two or more data sub-strings characterizing fragments of the behavior of interest and called genes. Further, there are selected two or more data fragments called detectors and being substantially close to the genes, and the detectors are applied to identify similar to them data fragments if appearing in information concerning real time activity in the surrounding. Based on the identification results, the method detects whether the behavior of interest is present in the newly incoming information.

Abstract: Methods, apparatuses and systems for detecting a fraud event on a distributed network are disclosed. A fraud event is indicated if data analysis reveals that there is a lack of consistency between elements in the network.

Abstract: The application describes a method for detecting a behavior of interest in a surrounding including at least one telecommunication network, by using approach of Immune Engineering. The method comprises steps of analyzing the behavior of interest by building a characterizing data string called DNA which comprises two or more data sub-strings characterizing fragments of the behavior of interest and called genes. Further, there are selected two or more data fragments called detectors and being substantially close to the genes, and the detectors are applied to identify similar to them data fragments if appearing in information concerning real time activity in the surrounding. Based on the identification results, the method detects whether the behavior of interest is present in the newly incoming information.

Abstract: Methods, apparatuses and systems for detecting a fraud event on a distributed network are disclosed. A fraud event is indicated if data analysis reveals that there is a lack of consistency between elements in the network.