Transfer learning based on prediction determines a similarity between a source base station and a target base station. Importance of parameters is determined and training is adjusted to respect the importance of parameters. A lack of historical data is compensated by selecting a base station as source base station which has a larger amount of historical data.

Transfer learning based on prediction determines a similarity between a source base station and a target base station. Importance of parameters is determined and training is adjusted to respect the importance of parameters. A lack of historical data is compensated by selecting a base station as source base station which has a larger amount of historical data.

Methods and apparatus for detecting a traffic suppression turning point in a communications system based on traffic behavior are provided. Models representing relationship between traffic loads and a key performance indicator of a cell or a cluster of cells may be built and tested to generate a set of prediction errors corresponding to a plurality of traffic load ranges. The prediction errors are examined against a criteria to determine a traffic suppression turning point in terms of traffic loads. The models built may also be used to calculate a set of KPI slope values corresponding to different traffic load ranges. The set of KPI slope values are examined against a criteria to determine a traffic suppression turning point in terms of traffic loads.

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.

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.

The described features generally relate to determining dynamic signal quality criteria for an installation of satellite terminals for communications in a satellite communications system. In particular, the signal quality criteria for an installation may be based on an identified position of the satellite terminal to be installed, and in some examples based on the positions and signal characteristics of neighboring satellite terminals that have already been installed. In some examples, a signal quality map may be generated for a service beam coverage area, based on predetermined transmission characteristics and/or measured transmissions from a number of satellite terminals served by a communications satellite. The generated signal quality map may then be used to determine a signal quality threshold for the installation of a satellite terminal being installed for communications in a satellite communications system.

A method for estimating communication quality of a wireless network applied to an estimation device having a storage device and a processor is provided. The method includes the steps of: providing coordinate information of a plurality of nodes and at least two kinds of map data; associating the coordinate information of the nodes with the map data to map the nodes to the corresponding positions of the maps; extracting spatial feature data between any two nodes from the associated map data, wherein the spatial feature data include spatial distribution data and spatial attribute data; selecting one of a plurality of path loss models according to the spatial feature data between the two nodes and estimating a pass loss using the selected path loss model, thereby estimating the communication quality between the two nodes.

A method for estimating communication quality of a wireless network applied to an estimation device having a storage device and a processor is provided. The method includes the steps of: providing coordinate information of a plurality of nodes and at least two kinds of map data; associating the coordinate information of the nodes with the map data to map the nodes to the corresponding positions of the maps; extracting spatial feature data between any two nodes from the associated map data, wherein the spatial feature data include spatial distribution data and spatial attribute data; selecting one of a plurality of path loss models according to the spatial feature data between the two nodes and estimating a pass loss using the selected path loss model, thereby estimating the communication quality between the two nodes.

A method of planning communication network infrastructure includes calculating a potential capacity of a plurality of vehicular relay nodes in an area, wherein the plurality of vehicular relay nodes relay data between a plurality of portable devices and at least one base station. The method also includes calculating a potential data demand in the area for transferring data between the plurality of portable devices and the at least one base station. The method further includes determining whether a number of the at least one base station serving the area is sufficient by utilizing the potential capacity of the plurality of vehicular relay nodes in the area and the potential data demand in the area.

A method of planning communication network infrastructure includes calculating a potential capacity of a plurality of vehicular relay nodes in an area, wherein the plurality of vehicular relay nodes relay data between a plurality of portable devices and at least one base station. The method also includes calculating a potential data demand in the area for transferring data between the plurality of portable devices and the at least one base station. The method further includes determining whether a number of the at least one base station serving the area is sufficient by utilizing the potential capacity of the plurality of vehicular relay nodes in the area and the potential data demand in the area.