Abstract: Disclosed are systems and methods for a robust Self-Organizing Network (SON) framework that quantifies SON applications' control and management of a network into key performance indicators (KPI) that are leveraged to determine the impact of a SON application's effectiveness in regulating network parameters, which then dictates how the SON application operates. The disclosed framework is configured to receive multiple data streams from existing data sources, determine the performance of a node on a network, and then automatically perform SON operations based therefrom. The disclosed framework can utilize this information to predict additional and/or future opportunities for SON automation on the network, which can be based on an aggregate determination of a net performance gain (NPG) of the SON applications. The framework can leverage the NPG to modify, configure and/or further maintain network operations so as to improve control and management of the network and the applications operating thereon.

Abstract: A method may include identifying, in a network, a location of a Fifth Generation (5G) node and determining, based on the location of the 5G node and capabilities associated with the 5G node, a number of areas around the 5G node, wherein each area corresponds to a bin. The method may also include identifying, in at least some of the of bins, candidate anchor nodes for the 5G node and ranking the candidate anchor nodes based on parameters associated with the candidate anchor nodes. The method may further include selecting, for the 5G node, an anchor node from the candidate anchor nodes based on the ranking.

Abstract: A device may include a processor configured to receive a report from a fixed wireless access device indicating that no anchoring relationship exists between a Fourth Generation (4G) base station and a Fifth Generation (5G) base station to which the fixed wireless access device is attempting to connect. The device may be further configured to instruct a network management system to create the anchoring relationship between the 4G base station and the 5G base station; and update an anchoring relationships database with information relating to the created anchoring relationship, wherein the anchoring relationships database stores information relating to anchoring relationships between base stations in a radio access network.

Abstract: Disclosed are systems and methods for a robust Self-Organizing Network (SON) framework that quantifies SON applications' control and management of a network into key performance indicators (KPI) that are leveraged to determine the impact of a SON application's effectiveness in regulating network parameters, which then dictates how the SON application operates. The disclosed framework is configured to receive multiple data streams from existing data sources, determine the performance of a node on a network, and then automatically perform SON operations based therefrom. The disclosed framework can utilize this information to predict additional and/or future opportunities for SON automation on the network, which can be based on an aggregate determination of a net performance gain (NPG) of the SON applications. The framework can leverage the NPG to modify, configure and/or further maintain network operations so as to improve control and management of the network and the applications operating thereon.

Abstract: Disclosed are systems and methods for a robust Self-Organizing Network (SON) framework that quantifies SON applications' control and management of a network into key performance indicators (KPI) that are leveraged to determine the impact of a SON's application effectiveness in regulating network parameters, which then dictates how the SON application operates. The disclosed framework is configured to receive multiple data streams from existing data sources, determine the performance of a node on a network, and then automatically perform SON operations based therefrom. The disclosed framework can utilize this information to predict additional and/or future opportunities for SON automation on the network.

Abstract: Disclosed are systems and methods for a robust Self-Organizing Network (SON) framework that quantifies SON applications' control and management of a network into key performance indicators (KPI) that are leveraged to determine the impact of a SON's application effectiveness in regulating network parameters, which then dictates how the SON application operates. The disclosed framework is configured to receive multiple data streams from existing data sources, determine the performance of a node on a network, and then automatically perform SON operations based therefrom. The disclosed framework can utilize this information to predict additional and/or future opportunities for SON automation on the network.