Abstract: A device may receive at least first network parameters and first performance indicators of a first access station in a first access network; receive at least second network parameters and second performance indicators of a second access station in a second access network; determine whether to steer a User Equipment device (UE) wirelessly connected to the first access station, from the first access station toward the second access station, based on the at least first and second network parameters and first and second performance indicators; and based on the determination, modify one or more of the first network parameters of the first access station and the second network parameters of the second access station.

Abstract: A method, a network device, and a non-transitory computer-readable storage medium are described in relation to a reestablishment connectivity service. The reestablishment connectivity service may include generating and providing minimum receive level cell information used only for reestablishment by end devices. The minimum receive level cell information may include a minimum receive level value, such as a qRXLevMin value associated with a cell selection criterion. The minimum receive level cell information may include correlated data, such as a Fifth Generation Quality of Service Identifier (5QI) value, an application service identifier, a category of an application service, or a traffic characteristic value. The minimum receive level value may differ from a minimum receive level value for non-reestablishment by end devices.

Abstract: Disclosed are systems and methods that provide a computerized framework for accurately and efficiently estimating the backhaul bandwidth and core capacity, which can be utilized to automatically and dynamically configure and/or curate network configurations and topologies to handle network loads and traffic. The framework can utilize and/or operate RF system simulators to perform the estimation of each sector's delivered UL/DL throughputs, as well as user inputs related to the traffic model, the dedicated network's topology and product specifications related to the processing limits of BBUs and private cores in order to determine network bottlenecks. Such determinations and/or predictions can be leveraged to ensure the allocation of backhaul bandwidth and core capacity, among other network features and/or characteristics, are optimized to achieve overall high throughput and remove traffic bottlenecks.

Abstract: A device may receive at least first network parameters and first performance indicators of a first access station in a first access network; receive at least second network parameters and second performance indicators of a second access station in a second access network; determine whether to steer a User Equipment device (UE) wirelessly connected to the first access station, from the first access station toward the second access station, based on the at least first and second network parameters and first and second performance indicators; and based on the determination, modify one or more of the first network parameters of the first access station and the second network parameters of the second access station.