Abstract: System and method for determining the best downlink and uplink speeds, and optimal latency for a customer premise equipment (CPE) device. A series of three-dimensional positions are measured with the downlink speed, uplink speed, and latency taken at each position. The optimal downlink and uplink speeds and latency are determined. A mmWave antenna is moved to the position that coincides with the optimal downlink and uplink speeds, and optical latency.

Abstract: Computerized systems and methods are provided that utilize a machine learning model to predict anomalies for a radio access network site device and taking corrective action. After a radio access network site device has received a software update, key performance indicators are extracted from the data from the radio access network site device. The key performance indicators are utilized with an anomaly risk model to determine if one or more of the key performance indicators exceeds a baseline threshold for the one or more radio access network devices. Responsive to the one or more key performance indicators exceeding a baseline threshold, a corrective action is initiated modifying the one or more radio access network devices.

Abstract: 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.

Abstract: 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.

Abstract: A mobile network is analyzed to determine outage regions for a dual-connectivity functionality that uses multiple wireless technologies provided by non-collocated network sites. In some examples, a network configuration server receives and analyzes the locations of base transceiver stations (BTSs) within the mobile network, along with the coverage ranges and wireless technologies supported by the BTS network sites. Based on the analyses, the network configuration server determines regions within which certain dual-connectivity functionality is and is not supported for user equipment (UE) devices. The network configuration server may calculate the outage region for a BTS network site based on the distances between the BTS network site and other BTS network sites providing different wireless technologies for the dual-connectivity functionality. Various elements of the mobile network, including the BTS network sites and/or user mobile devices, may be configured based on the determined outage regions.

Abstract: A mobile network is analyzed to determine outage regions for a dual-connectivity functionality that uses multiple wireless technologies provided by non-collocated network sites. In some examples, a network configuration server receives and analyzes the locations of base transceiver stations (BTSs) within the mobile network, along with the coverage ranges and wireless technologies supported by the BTS network sites. Based on the analyses, the network configuration server determines regions within which certain dual-connectivity functionality is and is not supported for user equipment (UE) devices. The network configuration server may calculate the outage region for a BTS network site based on the distances between the BTS network site and other BTS network sites providing different wireless technologies for the dual-connectivity functionality. Various elements of the mobile network, including the BTS network sites and/or user mobile devices, may be configured based on the determined outage regions.

Abstract: Systems, methods, and devices can be utilized to selectively connect to a device via extremely high frequency (EHF) radio resources based on the velocity of the device. An example method includes receiving, from a user equipment (UE), a first wireless signal with a first frequency that is less than 30 Gigahertz (GHz). The example method further includes determining a velocity of the UE based on the first wireless signal and determining that the velocity of the UE is less than a threshold velocity. Based on determining that the velocity of the UE is less than the threshold velocity, a second wireless signal is transmitted to the UE with a second frequency that is greater than or equal to 30 GHz.

Abstract: Systems, methods, and devices can be utilized to selectively connect to a device via extremely high frequency (EHF) radio resources based on the velocity of the device. An example method includes receiving, from a user equipment (UE), a first wireless signal with a first frequency that is less than 30 Gigahertz (GHz). The example method further includes determining a velocity of the UE based on the first wireless signal and determining that the velocity of the UE is less than a threshold velocity. Based on determining that the velocity of the UE is less than the threshold velocity, a second wireless signal is transmitted to the UE with a second frequency that is greater than or equal to 30 GHz.