Transfer learning based on prediction determines a similarity between a source base station and a target base station. Importance of parameters is determined and training is adjusted to respect the importance of parameters. A lack of historical data is compensated by selecting a base station as source base station which has a larger amount of historical data.

Transfer learning based on prediction determines a similarity between a source base station and a target base station. Importance of parameters is determined and training is adjusted to respect the importance of parameters. A lack of historical data is compensated by selecting a base station as source base station which has a larger amount of historical data.

A device may receive data identifying a quantity of wireless network devices, distance data identifying distances from the wireless network devices to a geographical location, data identifying signal strengths of the wireless network devices, carrier data identifying wireless and wireline carriers for the wireless network devices, or path data identifying wireline paths for the wireless network devices and wireline network devices. The device may assign scores to the quantity, the distance data, the signal strengths, the carrier data, or the path data to generate scores, and may combine the scores to generate a diversity risk score. The device may compare the diversity risk score to a diversity risk threshold scale and may determine whether the diversity risk score satisfies thresholds of the diversity risk threshold scale based on the comparison. The device may perform actions based on whether the diversity risk score satisfies the thresholds.

The subject matter described herein provides systems and techniques for a network planning and optimization tool that may allow for network capacity planning using key network failures for an arbitrary pair of network topology and demands. Performing network capacity planning with key network failures, instead of using other techniques, may avoid over-building the topology of a network. In particular, key network failures may be generated from the probabilistic failures, and the impact of these failures on a network may be computed. Expected flow availability SLO or a function thereof may be computed, using this information, and used by the tool to design a robust network. With an embedded flow availability calculation and updated risk framework, the capacitated cross-layer network topologies output by the tool may meet network demands/flows with their respective SLO type at the lowest cost.

Examples of the present disclosure describe systems and methods for locating an optimal installation location for an over-the-air (OTA) antenna. In some example aspects, the system described herein may receive a list of preferred local channels and/or programs from a user. The system may then compare those channels and/or programs to at least one database that comprises channel frequencies based on a user's geolocation (e.g., GPS coordinates, address, zip code, etc.). Based on the comparison of the preferred channels and/or programs, the system may suggest a certain installation location of an OTA antenna. The system may evaluate broadcast signals received by the OTA antenna to determine the strength of the signals at the present OTA antenna location. The results of the channel feedback analysis may be displayed in real-time (or near real-time) on a mobile device, indicating to the user if the present location is an optimal installation location.

Examples of the present disclosure describe systems and methods for locating an optimal installation location for an over-the-air (OTA) antenna. In some example aspects, the system described herein may receive a list of preferred local channels and/or programs from a user. The system may then compare those channels and/or programs to at least one database that comprises channel frequencies based on a user's geolocation (e.g., GPS coordinates, address, zip code, etc.). Based on the comparison of the preferred channels and/or programs, the system may suggest a certain installation location of an OTA antenna. The system may evaluate broadcast signals received by the OTA antenna to determine the strength of the signals at the present OTA antenna location. The results of the channel feedback analysis may be displayed in real-time (or near real-time) on a mobile device, indicating to the user if the present location is an optimal installation location.

Examples provide a network testing solution using a remote-controlled testing device. A test device includes a computing device for executing network performance testing logic and a cellular device. The test device controls the cellular device via a series of commands issued to the cellular device by the computing device. The test device is placed onto or inside a vehicle. As the vehicle moves through a geographical area, the test device automatically and autonomously performs network testing operations. The test data generated during the test is periodically uploaded to a central controller. The central controller aggregates test data received from a plurality of test devices assigned to a plurality of vehicles for a given campaign. The aggregated test data is analyzed and filtered to generate performance test results. A user can dynamically set up each campaign and assign test devices and vehicles to each campaign using a graphical user interface.

Examples provide a network testing solution using a remote-controlled testing device. A test device includes a computing device for executing network performance testing logic and a cellular device. The test device controls the cellular device via a series of commands issued to the cellular device by the computing device. The test device is placed onto or inside a vehicle. As the vehicle moves through a geographical area, the test device automatically and autonomously performs network testing operations. The test data generated during the test is periodically uploaded to a central controller. The central controller aggregates test data received from a plurality of test devices assigned to a plurality of vehicles for a given campaign. The aggregated test data is analyzed and filtered to generate performance test results. A user can dynamically set up each campaign and assign test devices and vehicles to each campaign using a graphical user interface.

Radio broadcasting equipment and functionality enable a radio broadcaster to reduce the size of an interference overlap resulting from main transmitter and booster signal transmitter overlap during zone casting by using an alternate main transmitter with an antenna pattern that differs from the main transmitter antenna pattern during zone casts. Radio broadcasting equipment is also provided that provides a mechanism to ensure that the handoffs occur in the gaps between songs, advertisements, or other content of both the main and the zone casting signals.

Radio broadcasting equipment and functionality enable a radio broadcaster to reduce the size of an interference overlap resulting from main transmitter and booster signal transmitter overlap during zone casting by using an alternate main transmitter with an antenna pattern that differs from the main transmitter antenna pattern during zone casts. Radio broadcasting equipment is also provided that provides a mechanism to ensure that the handoffs occur in the gaps between songs, advertisements, or other content of both the main and the zone casting signals.