Abstract: Techniques are described herein for allocating bandwidth parts to user devices to enable a range of the user devices to be boosted when they are further away from a base station. In embodiments, such techniques may comprise receiving information about at least one user device operating on a network and determining, based on that information, a signal strength of the at least one user device within a cell. The techniques further comprise determining an allocation of bandwidth parts to be applied to a cell, and determining, based on the signal strength of the user device and the allocation of bandwidth parts, an assigned bandwidth part for the at least one user device. Once such a bandwidth assignment has been determined, the techniques further involve providing the assigned bandwidth part to be used by the at least one user device.

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: Systems, methods, and devices for managing network resources perform and/or comprise: setting a communication threshold; monitoring a communication parameter for a wireless device connected to a network, wherein the wireless device is configured for communicating with the network using a first communication technology and for communicating with the network using a second communication technology; receiving a resource status from the network; and in response to a determination that the communication parameter is below the communication threshold and based on the resource status, causing the wireless device to switch from communicating with the network using the first communication technology to communicating with the network using the second communication technology.

Abstract: Aspects herein provide systems, methods, and media for dynamically switching between multiple input multiple output algorithms to improve spectral efficiency and capacity. In aspects, based on data encoding traffic, user device mobility, and coverage, a base station automatically and intelligently selects and implements a particular downlink operating schema. Using various periodicity, the base station dynamically switches between various downlink operating schemas to reflect changing conditions in the date that encodes traffic, user device mobility, and coverage.

Abstract: System and method are disclosed for improving the position and orientation of wireless access devices, including customer premise equipment (CPE) device. One or more performance characteristics are measured at each of a series of three-dimensional positions, and then the CPE device is arranged in the position associated with the best performance characteristic(s).

Abstract: Aspects herein provide a system and method for intelligently addressing the technological problems created by bursty traffic. In aspects, throughput estimations across various carriers are determined and utilized to perform beneficial handovers of user devices that improve service.

Abstract: Aspects herein provide systems, methods, and media for dynamically switching between multiple input multiple output algorithms to improve spectral efficiency and capacity. In aspects, based on data encoding traffic, user device mobility, and coverage, a base station automatically and intelligently selects and implements a particular downlink operating schema. Using various periodicity, the base station dynamically switches between various downlink operating schemas to reflect changing conditions in the date that encodes traffic, user device mobility, and coverage.

Abstract: Aspects herein provide systems, methods, and media for dynamically scheduling multiplexing in a wireless network. In aspects, a base station determines whether to utilize multiplexing without power boosting or to utilize power boosting without multiplexing when scheduling and communicating a reference signal over a downlink channel for a user device. These autonomous determinations of the base station are based on an evaluation of signal metrics of a user device and/or base station characteristics relative to one or more customized thresholds.

Abstract: Aspects herein provide systems, methods, and media for dynamically switching between multiple input multiple output algorithms to improve spectral efficiency and capacity. In aspects, based on data encoding traffic, user device mobility, and coverage, a base station automatically and intelligently selects and implements a particular downlink operating schema. Using various periodicity, the base station dynamically switches between various downlink operating schemas to reflect changing conditions in the date that encodes traffic, user device mobility, and coverage.

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: 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.