An installation location determination device for a radio device, includes a memory and a processor. The memory stores device information on a transmitter and a receiver, and environment information. The processor executes a process including, performing first simulation using a ray tracing method based on the device information and the environment information to calculate first received signal strengths at a plurality of installation candidate points, located respectively at centers of a plurality of installation candidate locations where the receiver is to be installed, and a plurality of neighboring points set for each of the installation candidate points within a first distance from the installation candidate point, calculating second received signal strengths in the respective installation candidate locations based on a calculation result of the first received signal strengths, determining an installation location of the receiver based on the second received signal strengths, and outputting the installation location.

Aspects of the disclosure include determining that a first instance of a first object is present in a first image in accordance with an execution of a first image processing algorithm, generating a first bounding region that at least partially surrounds the first instance of the first object in the first image, determining that the first instance of the first object in the first image has a first attribute in accordance with an execution of a second image processing algorithm, wherein the second image processing algorithm is operative on the first image in accordance with the first bounding region, and selecting the first instance of the first object and/or a second instance of the first object to receive a deployment of a network resource in accordance with the determining that the first instance of the first object in the first image has the first attribute. Other aspects are disclosed.

Aspects of the disclosure include determining that a first instance of a first object is present in a first image in accordance with an execution of a first image processing algorithm, generating a first bounding region that at least partially surrounds the first instance of the first object in the first image, determining that the first instance of the first object in the first image has a first attribute in accordance with an execution of a second image processing algorithm, wherein the second image processing algorithm is operative on the first image in accordance with the first bounding region, and selecting the first instance of the first object and/or a second instance of the first object to receive a deployment of a network resource in accordance with the determining that the first instance of the first object in the first image has the first attribute. Other aspects are disclosed.

Embodiments are directed to automatic location of access points in a network. An embodiment of one or more non-transitory computer-readable storage mediums includes instructions for transmitting a request from a computing device to multiple access points in a network to determine a distance between each pair of access points of the multiple access points; receiving at the computing device the determined distances between each pair of access points; generating a proximity matrix containing the determined distances between each pair of access points; solving the proximity matrix to automatically generate a set of locations for the multiple access points; and orienting the generated set of locations for the multiple access points based on known locations of one or more anchor points in a subset of the access points.

The present disclosure discloses example broadcast beam processing methods and apparatuses. One example method includes sending a first broadcast beam. A first measurement report is received from a first terminal after the first broadcast beam is sent, and a weak coverage area of the first broadcast beam is determined based on the first measurement report. A second broadcast beam is then sent, where the second broadcast beam is used to cover the weak coverage area of the first broadcast beam.

A transmission apparatus recognition apparatus includes a receiver configured to receives a signal wirelessly transmitted from a transmission apparatus, a signal region detector, a feature extractor, and a recognizer. The signal region detector generates a spectrogram from a received signal received by the receiver, and detects a signal region parameter indicating a specific signal region based on the spectrogram. The feature extractor converts the received signal based on a signal conversion parameter according to the signal region parameter, and extracts a feature from the converted signal. The recognizer calculates a degree of similarity based on the extracted feature and a feature stored in advance, and recognizes the transmission apparatus based on the degree of similarity. The transmission apparatus recognition apparatus adjusts the signal region parameter based on a recognition accuracy of the recognizer.

A transmission apparatus recognition apparatus includes a receiver configured to receives a signal wirelessly transmitted from a transmission apparatus, a signal region detector, a feature extractor, and a recognizer. The signal region detector generates a spectrogram from a received signal received by the receiver, and detects a signal region parameter indicating a specific signal region based on the spectrogram. The feature extractor converts the received signal based on a signal conversion parameter according to the signal region parameter, and extracts a feature from the converted signal. The recognizer calculates a degree of similarity based on the extracted feature and a feature stored in advance, and recognizes the transmission apparatus based on the degree of similarity. The transmission apparatus recognition apparatus adjusts the signal region parameter based on a recognition accuracy of the recognizer.

When deploying or upgrading an enhanced cellular communication system, a site survey may be performed by configuring cellular devices in a given area to report various operational metrics. The devices may also be configured to report environmental data that can be used to determine whether the devices are indoors or outdoors, which may be useful when interpreting the operational metrics. The environmental signatures may include an audio signature, which may comprise an audio impulse response produced by an acoustic echo canceller (AEC) of the device. The environmental signatures may further include a light signature, which may be based on frequency components of ambient light. The environmental signatures may further include an audio signature, which may be based on characteristics of radio signals received by the device. Machine learning techniques may be used, with the environmental signatures as features, to predict whether a given device is indoors or outdoors.

When deploying or upgrading an enhanced cellular communication system, a site survey may be performed by configuring cellular devices in a given area to report various operational metrics. The devices may also be configured to report environmental data that can be used to determine whether the devices are indoors or outdoors, which may be useful when interpreting the operational metrics. The environmental signatures may include an audio signature, which may comprise an audio impulse response produced by an acoustic echo canceller (AEC) of the device. The environmental signatures may further include a light signature, which may be based on frequency components of ambient light. The environmental signatures may further include an audio signature, which may be based on characteristics of radio signals received by the device. Machine learning techniques may be used, with the environmental signatures as features, to predict whether a given device is indoors or outdoors.

The disclosed embodiments include a method for forecasting a coverage area of a candidate site in an anchor network. The method can include obtaining cell site information of anchor networks and of the candidate site (e.g., a donor site of a donor network), simulating a spatial layout of the anchor sites in a virtual network, and estimating a coverage area of the candidate site in the virtual network. The estimated coverage area of the candidate site forms a polygon-shaped coverage area in the spatial layout of the virtual network. The method can further include modifying the polygon-shaped coverage area of the candidate site relative to an intersection with a coverage area of a neighboring site, pruning the modified coverage area of any portion that exceeds a predefined coverage radius, and causing an output including the pruned coverage area of the candidate site as an indication of the forecast coverage area.