A method for predicting a structure of an indoor space using radio propagation channel analysis through deep-learning is disclosed. Channel data of radio signals are collected for various indoor spaces, and radio channel parameter data such as PDP, AoA, and AoD are extracted therefrom. A large amount of propagation channel parameter data is input to an artificial neural network together with vertex coordinate data of the corresponding indoor space and deep-learning is performed in advance. The propagation channel parameter data are extracted from the indoor space to be predicted, the best matching indoor space is detected based on the trained artificial neural network. The best matching indoor space is predicted as the structure of the indoor space.

A method for predicting a structure of an indoor space using radio propagation channel analysis through deep-learning is disclosed. Channel data of radio signals are collected for various indoor spaces, and radio channel parameter data such as PDP, AoA, and AoD are extracted therefrom. A large amount of propagation channel parameter data is input to an artificial neural network together with vertex coordinate data of the corresponding indoor space and deep-learning is performed in advance. The propagation channel parameter data are extracted from the indoor space to be predicted, the best matching indoor space is detected based on the trained artificial neural network. The best matching indoor space is predicted as the structure of the indoor space.

Methods, systems, and storage media are disclosed to estimate a count of indoor radio transmitters for a building, where the indoor radio transmitters are to be planned to build an indoor cellular network within the building. In one embodiment, a method comprises obtaining (310) locational information of the building in a database based on a query; extracting (312) features external to the building based on the locational information of the building, wherein the features external to the building capture characteristics about the building that are observable from outside of the building; and estimating (314) the count of the indoor radio transmitters for the building using the extracted features and a pre-trained model.

Methods, systems, and storage media are disclosed to estimate a count of indoor radio transmitters for a building, where the indoor radio transmitters are to be planned to build an indoor cellular network within the building. In one embodiment, a method comprises obtaining (310) locational information of the building in a database based on a query; extracting (312) features external to the building based on the locational information of the building, wherein the features external to the building capture characteristics about the building that are observable from outside of the building; and estimating (314) the count of the indoor radio transmitters for the building using the extracted features and a pre-trained model.

Mobile equipment including a geo-localization device arranged to determine a current position for the mobile equipment in a space to be mapped; a communication device arranged to communicate with access points of a local network implemented in the space to be mapped; a control component arranged: to control each access point selectively and in independent manner via the communication device so as to cause said access point to transmit a reference signal; to use the reference signals received by the communication device to evaluate respective qualities for the connections between each of the access points and the mobile equipment in the current position.

Provided are an information processing device, an information processing method, and a program that enable construction of a wireless system with consideration given to interference with the surroundings of a certain area. This information processing device is provided with: a first evaluation unit that evaluates a distribution of first wireless radio waves entering the inside of a certain area when wireless radio waves are radiated from one or more transmission points set outside the area; and a determination unit that determines, on the basis of the evaluation result regarding the distribution of the first wireless radio waves, information about the disposition candidate position of a wireless base station to be disposed inside the area.

Provided are an information processing device, an information processing method, and a program that enable construction of a wireless system with consideration given to interference with the surroundings of a certain area. This information processing device is provided with: a first evaluation unit that evaluates a distribution of first wireless radio waves entering the inside of a certain area when wireless radio waves are radiated from one or more transmission points set outside the area; and a determination unit that determines, on the basis of the evaluation result regarding the distribution of the first wireless radio waves, information about the disposition candidate position of a wireless base station to be disposed inside the area.

The present technology is directed to visualizing a Wi-Fi signal propagation in 3-D at various heights and locations. The present technology can calculate a radio frequency (RF) propagation pattern for a Wi-Fi access point (AP) based on a RF propagation model for the Wi-Fi AP and overlay the RF propagation pattern for the Wi-Fi AP over a visualization of the building plan to present a 3-D visualization of the RF propagation pattern of the 3-D space. In particular, the present technology can project a plurality of ray-paths in various directions in a 3-D space originated from the Wi-Fi AP and determine whether the ray-paths interface with objects defined in the building plan. The present technology can segment the respective ray-path into contiguous segments of substantially uniform mediums for each ray-path that interface with the objects and determine a RF signal strength at points along the contiguous segments of the ray-paths.

The present technology is directed to visualizing a Wi-Fi access point radio frequency (RF) propagation pattern based on telemetry data over time. The present technology can receive telemetry data for a Wi-Fi network of a building plan in a Wi-Fi visualization system, store the telemetry data with a timestamp, determine a RF propagation pattern in a 3-D space for at least one Wi-Fi access point in the Wi-Fi network, present a user interface including a time slider to facilitate manipulation of a time axis between the first timestamp and the second timestamp, and present a visualization of the RF propagation pattern based on an indication of the time slider.

The present technology is directed to visualizing a Wi-Fi access point radio frequency (RF) propagation pattern based on telemetry data over time. The present technology can receive telemetry data for a Wi-Fi network of a building plan in a Wi-Fi visualization system, store the telemetry data with a timestamp, determine a RF propagation pattern in a 3-D space for at least one Wi-Fi access point in the Wi-Fi network, present a user interface including a time slider to facilitate manipulation of a time axis between the first timestamp and the second timestamp, and present a visualization of the RF propagation pattern based on an indication of the time slider.