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. The information processing device is provided with: an evaluation unit which evaluates interference with the outside of a specific area caused by beams that are formed at transmission points set inside the specific area and that radiate in a plurality of directions; and a determination unit which determines, on the basis of the result of the evaluation of the interference, the beam width of at least some of the beams that radiate in the plurality of directions.

A communication point determination device for determining a communication point including a communication position being a position of a mobile body which performs close-range wireless communication with a wireless device disposed within a target area including an obstacle which obstructs propagation of radio waves includes: a first acquisition part configured to obtain a radio wave strength map indicating a distribution of a radio wave strength within the target area obtained by numerical analysis based on area shape information of the target area generated on the basis of an outer shape of the obstacle existing within the target area, installation position information of the wireless device within the target area, and radio wave information related to transmission or response of radio waves of the wireless device; and a determination part configured to determine the communication point on the basis of the radio wave strength map.

A processing device includes an acquirer, a definition unit, and a determiner. The acquirera acquires, when a signal is transmitted from each of a plurality of base station devices while changing an azimuth angle, interference power of a signal received by a target station for each combination of a base station device and an azimuth angle. The definition unit defines an azimuth angle range in which interference power equal to or greater than a threshold is included as a restricted area. The determiner determines a direction of a center of a beam of each of the plurality of base station devices so as to prevent the center of the beam of each of the plurality of base station devices from falling within the restricted area.

A processing device includes an acquirer, a definition unit, and a determiner. The acquirera acquires, when a signal is transmitted from each of a plurality of base station devices while changing an azimuth angle, interference power of a signal received by a target station for each combination of a base station device and an azimuth angle. The definition unit defines an azimuth angle range in which interference power equal to or greater than a threshold is included as a restricted area. The determiner determines a direction of a center of a beam of each of the plurality of base station devices so as to prevent the center of the beam of each of the plurality of base station devices from falling within the restricted area.

A technique is directed to methods and systems for providing autonomous wireless coverage. In some implementations, the autonomous wireless coverage providing machine (e.g., a mobile wireless tower) can move to various locations to optimize coverage, connectivity, and/or quality. The mobile wireless tower can collect environment data of a location and determine the terrain and wireless devices requesting coverage. The mobile wireless tower can identify a location to provide network coverage to the devices based on the terrain. In some implementations, the mobile wireless tower can determine a location to provide coverage using Artificial Intelligence or Machine Learning retrieved from the network for which the mobile wireless tower provides coverage. The mobile wireless tower can have a flexible length wired or wireless backhaul capability for the mobile wireless tower to send data and retrieve data stored on the network.

A technique is directed to methods and systems for providing autonomous wireless coverage. In some implementations, the autonomous wireless coverage providing machine (e.g., a mobile wireless tower) can move to various locations to optimize coverage, connectivity, and/or quality. The mobile wireless tower can collect environment data of a location and determine the terrain and wireless devices requesting coverage. The mobile wireless tower can identify a location to provide network coverage to the devices based on the terrain. In some implementations, the mobile wireless tower can determine a location to provide coverage using Artificial Intelligence or Machine Learning retrieved from the network for which the mobile wireless tower provides coverage. The mobile wireless tower can have a flexible length wired or wireless backhaul capability for the mobile wireless tower to send data and retrieve data stored on the network.

A facility operates with respect to a configuration of one or more unmanned aerial vehicles operating as relays between on or more wireless network participant devices and one or more wireless base stations being supported directly or indirectly by a planetary surface. The facility conducts an experiment that yields quality of service results and flight duration results for each of multiple values of a UAV control parameter. The facility selects a value of the UAV control parameter that produced an advantageous tradeoff of quality of service results and flight duration results, and stores the selected value, such that the stored value of the UAV control parameter is usable to operate the UAVs of the configuration in production service.

A facility operates with respect to a configuration of one or more unmanned aerial vehicles operating as relays between on or more wireless network participant devices and one or more wireless base stations being supported directly or indirectly by a planetary surface. The facility conducts an experiment that yields quality of service results and flight duration results for each of multiple values of a UAV control parameter. The facility selects a value of the UAV control parameter that produced an advantageous tradeoff of quality of service results and flight duration results, and stores the selected value, such that the stored value of the UAV control parameter is usable to operate the UAVs of the configuration in production service.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a network node may obtain a machine learning (ML) model trained to provide one or more predicted channel interference (CI) indicators informative of channel interference between cells of a cellular network. The network node may calculate, using the ML model, the one or more predicted CI indicators using data characterizing a given cell and one or more neighbor cells of the given cell. The network node may provide the one or more predicted CI indicators. Numerous other aspects are described.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a network node may obtain a machine learning (ML) model trained to provide one or more predicted channel interference (CI) indicators informative of channel interference between cells of a cellular network. The network node may calculate, using the ML model, the one or more predicted CI indicators using data characterizing a given cell and one or more neighbor cells of the given cell. The network node may provide the one or more predicted CI indicators. Numerous other aspects are described.