Abstract: The devices, systems, and methods described herein are directed to using data associated with a wireless network operational area to train a machine learning model, where the data includes one or more signal characteristic measurement values. The trained machine learning model is used to build a signal propagation model for the wireless network operational area. In some examples, the signal propagation model may be used to generate a network performance visualization or a heatmap of the wireless network operational area. In further examples, the system may generate one or more recommendations to optimize one or more performance indicators of the wireless network.

Abstract: The devices, systems, and methods described herein are directed to using data associated with a wireless network operational area to train a machine learning model, where the data includes one or more signal characteristic measurement values. The trained machine learning model is used to build a signal propagation model for the wireless network operational area. In some examples, the machine learning model is trained based on signals transmitted in accordance with a first radio access technology (RAT), and the signal propagation model is built for signals transmitted in accordance with a second RAT using the trained machine learning model. In further examples, the machine learning model is trained based on signals transmitted within a first set of frequency bands, and the signal propagation model is built for signals to be transmitted over a second set of frequency bands using the trained machine learning model.

Abstract: A method for producing a recommendation for how to arrange a target wireless network. Input data is obtained about a target wireless network, and the input data is analyzed to produce a recommendation for how to arrange the target wireless network. The recommendation when carried out changes an aspect of the target wireless network as measured through or reflected in an indicator. Other aspects are also described and claimed.

Abstract: In one aspect, a method for planning a wireless data communications (WDC) network includes obtaining information describing an arrangement of a plurality of walls of a physical space in which the WDC network is to be deployed, obtaining a plurality of measured signal strengths of one or more access points taken in the physical space, determining an attenuation of each of the plurality of walls based on the plurality of measured signal strengths wherein the attenuation of each of the plurality of walls are simultaneously determined based on the plurality of measured signal strengths, and generating for input to a display, at least one indication of the attenuation of each of the plurality of walls with the arrangement of the plurality of walls.

Abstract: A solution how to calculate locations scores that depict the quality of specific locations as an installation point of an access point is disclosed. To calculate a location score a network planning area is divided into location topology cells, and in each location topology cell a plurality of predefined metrics that take into account environment are calculated. Then the metrics are converted into metric scores, and from the metric scores a location score for a location topology cell is calculated. Further, a solution in which final positions of access points are determined in a two-step procedure is disclosed. Firstly, initial positions are determined based on received planning information. Then final positions are determined starting from the initial positions and using both planning information and location scores.

Abstract: A solution how to calculate locations scores that depict the quality of specific locations as an installation point of an access point is disclosed. To calculate a location score a network planning area is divided into location topology cells, and in each location topology cell a plurality of predefined metrics that take into account environment are calculated. Then the metrics are converted into metric scores, and from the metric scores a location score for a location topology cell is calculated. Further, a solution in which final positions of access points are determined in a two-step procedure is disclosed. Firstly, initial positions are determined based on received planning information. Then final positions are determined starting from the initial positions and using both planning information and location scores.