Methods and nodes in a communications network for using a machine learning model that has been trained using training data from a first radio environment, in a second radio environment, wherein the machine learning model takes a first set of features as input and outputs a label based on a first labelling scheme, the first labelling scheme having been determined for the first radio environment. A method comprises obtaining (402) a dataset in the second radio environment comprising a plurality of data points comprising values of the first set of features, labelling (404) each data point in the dataset using the first labelling scheme, and determining (406) from the labelled dataset whether the first labelling scheme is suitable for use in the second radio environment. Responsive to determining that the first labelling scheme is unsuitable for use in the second radio environment, the method further comprises determining (408) a second labelling scheme for the machine learning model, using an unsupervised labelling method.

Matrices of movement in a geographic area are computed. The method subdivides the geographic area into geographic zones. Each entry of a matrix includes an indication of movements from one geographic zone to another in the respective time slot. The geographic area of interest is subdivided into geographic area portions, and mobile communication terminals in the geographic area calculate and provide respective geographic position estimates to a data processing system. An overall number of geographic position estimates are distributed by assigning to each geographic area portion a respective number of geographic position estimates. Covered geographic portions are determined among said plurality of geographic area portions, and each one of the determined covered geographic area portions is assigned a respective weight. A correspondence map establishing a correspondence between the network cells and the geographic zones is generated, and the weights are used in computing the matrices.

Matrices of movement in a geographic area are computed. The method subdivides the geographic area into geographic zones. Each entry of a matrix includes an indication of movements from one geographic zone to another in the respective time slot. The geographic area of interest is subdivided into geographic area portions, and mobile communication terminals in the geographic area calculate and provide respective geographic position estimates to a data processing system. An overall number of geographic position estimates are distributed by assigning to each geographic area portion a respective number of geographic position estimates. Covered geographic portions are determined among said plurality of geographic area portions, and each one of the determined covered geographic area portions is assigned a respective weight. A correspondence map establishing a correspondence between the network cells and the geographic zones is generated, and the weights are used in computing the matrices.

Provided are a networking signal sending method and device for a positioning network. The method includes: determining a networking mode of the positioning network according to an application scene, wherein the networking mode includes independent networking of the positioning network and joint networking of the positioning network and a communication network; and configuring a positioning base station of the positioning network, or the positioning base station and a communication base station according to the networking mode, wherein the positioning base station is used for sending a positioning signal or the positioning signal and a synchronization signal, and the communication base station is used for sending the synchronization signal.

Dynamic metro cell location planning is provided within the wireless communication coverage area of a macro cell. Metro cell location planning can include obtaining performance parameters associated with the macro cell and evaluating coverage parameters of the macro cell. Metro cell location planning can also include selecting, based on the performance parameters and the coverage parameters, a location within a wireless communication coverage area of the macro cell for placement of the metro cell. The selected location can be conveyed to a user and/or entity for deployment of the metro cells. Metro cells can be used by a carrier to fill a coverage hole and/or to offload capacity hot-spots within the network.

Dynamic metro cell location planning is provided within the wireless communication coverage area of a macro cell. Metro cell location planning can include obtaining performance parameters associated with the macro cell and evaluating coverage parameters of the macro cell. Metro cell location planning can also include selecting, based on the performance parameters and the coverage parameters, a location within a wireless communication coverage area of the macro cell for placement of the metro cell. The selected location can be conveyed to a user and/or entity for deployment of the metro cells. Metro cells can be used by a carrier to fill a coverage hole and/or to offload capacity hot-spots within the network.

A system and method for 3D propagation modelling for planning of a radio network, is disclosed. In the present invention, automatic tuning of propagation path loss parameters of a Continuous Wave (CW) based 3D propagation model for LOS (line of sight) and NLOS (non-line of sight) radio transmissions in a first geographical area, is performed. Further, in the present invention, 3D propagation models for remaining geographies having similar geographical area and clutter types as the first geographical area, are generated without performing any drive test while compensating the propagation path loss parameters of the generated model using periodically measured user equipment (UE) data. The generated 3D models may be updated dynamically as the 3D models are developed based on UE data updated from time to time.

A system and method for 3D propagation modelling for planning of a radio network, is disclosed. In the present invention, automatic tuning of propagation path loss parameters of a Continuous Wave (CW) based 3D propagation model for LOS (line of sight) and NLOS (non-line of sight) radio transmissions in a first geographical area, is performed. Further, in the present invention, 3D propagation models for remaining geographies having similar geographical area and clutter types as the first geographical area, are generated without performing any drive test while compensating the propagation path loss parameters of the generated model using periodically measured user equipment (UE) data. The generated 3D models may be updated dynamically as the 3D models are developed based on UE data updated from time to time.

A system and method for automatic deployment of at least one outdoor small cell. The method comprises dynamically collecting traffic data corresponding to a geographic location associated with a cellular network by a data collection module [202]. Next, a data collection module [204] automatically identifies a group of spatial grids from the one or more cells within the geographic location based on the traffic data and automatically determines one or more locations within the geographic locations for deploying the at least one outdoor small cell based on the identified group of spatial grids. A backhaul link clearance module [206] automatically determines a backhaul connection between the one or more determined locations with the cellular network. An azimuth planning module [208] automatically determines an azimuth for the at least one outdoor small cell based on the determined connection. A deployment unit [210] deploy the at least one outdoor small cell.

A system and method for automatic deployment of at least one outdoor small cell. The method comprises dynamically collecting traffic data corresponding to a geographic location associated with a cellular network by a data collection module [202]. Next, a data collection module [204] automatically identifies a group of spatial grids from the one or more cells within the geographic location based on the traffic data and automatically determines one or more locations within the geographic locations for deploying the at least one outdoor small cell based on the identified group of spatial grids. A backhaul link clearance module [206] automatically determines a backhaul connection between the one or more determined locations with the cellular network. An azimuth planning module [208] automatically determines an azimuth for the at least one outdoor small cell based on the determined connection. A deployment unit [210] deploy the at least one outdoor small cell.