Method and apparatus for determining a coverage hole of a communication network along a road. The method includes: retrieving typical speed information on the basis of connection history that at least one first mobile device moves along the road; in response to detecting a connection drop when at least one second mobile device moves along the road, estimating a drop position of the at least one second mobile device on the basis of attribute information of the at least one second mobile device and the typical speed information; and determining the coverage hole on the basis of the drop position of the at least one second mobile device. In one embodiment of the present invention, there is provided a corresponding apparatus.

Systems and methods for auto creation of Multicast-Broadcast Single Frequency Network (MBSFN) areas are disclosed. In some embodiments, systems and methods are disclosed for providing different MBSFN area pattern types for different cell coverage and density conditions for better resource usage. In some embodiments, systems and methods are disclosed for providing tools to a customer to plan MBSFN broadcast areas and to automatically generate MBSFN Hexagon areas and allocate a proper MBSFN area pattern for the MBSFN Hexagon areas to avoid manual configuration of the MBSFN area for each cell. In some embodiments, systems and methods are disclosed for providing a solution to help network operators to remote set MBSFN areas' configuration to a network wide Radio Access Network (RAN). In some embodiments, systems and methods are disclosed for providing tools to present cells, cell range, MBSFN area locations, and configurations and enhanced or evolved Node Bs' (eNBs') relationship.

Systems and methods for auto creation of Multicast-Broadcast Single Frequency Network (MBSFN) areas are disclosed. In some embodiments, systems and methods are disclosed for providing different MBSFN area pattern types for different cell coverage and density conditions for better resource usage. In some embodiments, systems and methods are disclosed for providing tools to a customer to plan MBSFN broadcast areas and to automatically generate MBSFN Hexagon areas and allocate a proper MBSFN area pattern for the MBSFN Hexagon areas to avoid manual configuration of the MBSFN area for each cell. In some embodiments, systems and methods are disclosed for providing a solution to help network operators to remote set MBSFN areas' configuration to a network wide Radio Access Network (RAN). In some embodiments, systems and methods are disclosed for providing tools to present cells, cell range, MBSFN area locations, and configurations and enhanced or evolved Node Bs' (eNBs') relationship.

A measurement station collects radio base station performance information related to a radio communication performance of each radio base station, radio connection information related to a radio communication performance and a communication status of a corresponding radio terminal station, generates a measurement condition and an expected measurement result based on the radio base station performance information and the radio connection information, and notifies a measurement control signal corresponding to the measurement condition to the radio terminal station through the radio base station; the radio terminal station performs a communication setting of an own station based on the notified measurement control signal, and notifies a measurement preparation status to the measurement station; and the measurement station measures the radio communication performance by causing a flow of a measurement traffic to the radio terminal station through the radio base station, acquiring a measurement result, and determining whether the measurement result is within a range of the expected measurement result.

A station installation designing assistance device that divides a service providing area into a plurality of areas, and performs station installation designing for the plurality of areas in parallel, the station installation designing assistance device including: an area dividing unit that divides an entirety of the service providing area into the plurality of areas; a station installation priority determining unit that determines, for each of the plurality of areas, station installation priorities of station installation location candidates that are present in the area; and a station installation priority adjusting unit that adjusts the station installation priorities determined by the station installation priority determining unit, based on a degree of overlap of cells formed as a result of base stations being installed in station installation location candidates in the areas, respectively.

A station installation designing assistance device that divides a service providing area into a plurality of areas, and performs station installation designing for the plurality of areas in parallel, the station installation designing assistance device including: an area dividing unit that divides an entirety of the service providing area into the plurality of areas; a station installation priority determining unit that determines, for each of the plurality of areas, station installation priorities of station installation location candidates that are present in the area; and a station installation priority adjusting unit that adjusts the station installation priorities determined by the station installation priority determining unit, based on a degree of overlap of cells formed as a result of base stations being installed in station installation location candidates in the areas, respectively.

A station installation designing assistance device that divides a service providing area into a plurality of areas, and performs station installation designing for the plurality of areas in parallel, the station installation designing assistance device including: an area dividing unit that divides an entirety of the service providing area into a plurality of areas that are each composed of a predetermined number of small areas; a small area specifying unit that specifies a small area number that identifies a small area in each of the areas, where the same number is given to the small area in each of the areas; and a station installation location selecting unit that selects, for each of the plurality of areas, a plurality of station installation locations from among station installation location candidates that are present in the small area specified by the small area specifying unit.

A station installation designing assistance device that divides a service providing area into a plurality of areas, and performs station installation designing for the plurality of areas in parallel, the station installation designing assistance device including: an area dividing unit that divides an entirety of the service providing area into a plurality of areas that are each composed of a predetermined number of small areas; a small area specifying unit that specifies a small area number that identifies a small area in each of the areas, where the same number is given to the small area in each of the areas; and a station installation location selecting unit that selects, for each of the plurality of areas, a plurality of station installation locations from among station installation location candidates that are present in the small area specified by the small area specifying unit.

A method and apparatus for predicting capacity utilization and preemptively reallocating channels in a spectrum-controlled network such as a Citizen's Band Radio Service (CBRS) network. The network includes a plurality of Base Stations/Access Points (BS/APs) which monitor RF resource usage of the channels at each BS/AP and provide time series data relating to capacity utilization over a period of time. The data is analyzed, and patterns are identified in the collected capacity utilization data using Artificial Intelligence (AI) techniques. Looking forward, capacity utilization is predicted using AI techniques. Responsive to the capacity utilization predictions, the channels pre-emptively reallocated among BS/APs. The enterprise network provides feedback regarding prediction accuracy, which is utilized in a machine learning process to modify the models and provide greater prediction accuracy. The prediction apparatus includes a capacity utilization module and a training/retraining module, which may be located remotely from the enterprise network.

A core provider predicts that a device will enter an area of poor coverage by a wireless network provider. Based on the prediction, one or more rules are applied to prioritize data traffic to be received prior to entering the area of poor coverage. The prediction that the device will enter the area of poor coverage may be based on cell coverage data received from the wireless network provider, connection quality data received from other devices, a location of the device, a speed of the device, a direction of the device, or any suitable combination thereof. A route of the device may be changed to avoid or minimize an amount of time in the area of poor coverage. As another alternative, the device may be switched from the wireless network provider to another wireless network with better coverage.