The present disclosure pertains to a base station apparatus configured, via machine learning techniques, to provide enhanced communication for one or more user equipment (UEs). This communication may be exemplarily enhanced by detecting rogue base stations and/or by predicting more optimal performance parameters. Some embodiments of this apparatus may include: creating a machine learning classifier using simulated wireless data, the simulated wireless data having known values; and applying, at a base station router (BSR), the machine learning classifier to actual wireless data. This application may be performed by converting between a wireless protocol used by the actual wireless data and a wired protocol used by the simulated wireless data.

The present disclosure pertains to a base station apparatus configured, via machine learning techniques, to provide enhanced communication for one or more user equipment (UEs). This communication may be exemplarily enhanced by detecting rogue base stations and/or by predicting more optimal performance parameters. Some embodiments of this apparatus may include: creating a machine learning classifier using simulated wireless data, the simulated wireless data having known values; and applying, at a base station router (BSR), the machine learning classifier to actual wireless data. This application may be performed by converting between a wireless protocol used by the actual wireless data and a wired protocol used by the simulated wireless data.

Aspects of the subject disclosure may include, for example, receiving sounding reference signal (SRS) symbols from antenna elements of each of multiple modular antenna arrays, wherein the multiple modular antenna arrays are operatively combined to form a coherent antenna system, performing an uplink (UL) channel estimation and a downlink (DL) channel estimation, across a plurality of physical resource blocks (PRBs), based on the SRS symbols, calculating, for the antenna elements, a plurality of uplink (UL) combining weights based on the UL channel estimation and a plurality of downlink (DL) precoder weights based on the DL channel estimation, and causing the plurality of UL combining weights and the plurality of DL precoder weights to be applied to the antenna elements, thereby adjusting beamforming of the coherent antenna system. Other embodiments are disclosed.

Methods of auto-calibrating antennas in a target environment are provided including obtaining a map and associated scale of the target environment; displaying the map to a user on a user display device; discovering a plurality of antennas present in the target environment; illustrating the discovered plurality of antennas on the map; repositioning at least some of the plurality antennas on the map; locking selected ones of plurality of antennas into a current position to provide a plurality of locked antennas, wherein the plurality of locked antennas is equal to zero or greater; and auto-calibrating a remaining plurality of unlocked antennas, wherein auto-calibrating includes moving each of the remaining plurality of unlocked antennas from a first position to a second position.

Embodiments of the invention are directed to system structured for dynamically adapted, time latency-based, cross channel data caching for performing electronic activities. The invention is structured for selective proactive data caching based on interdependency of electronic activities and transformation of cached data for transmission through a plurality of communication channels, for reducing memory and processing burdens on data caching servers and reducing turnaround time for activity execution. Specifically, the invention is configured to detect initiation of a first technology activity event by a user at a first time, and in response, determine a second interdependent technology activity event. The invention is also structured for caching second event data for the second technology activity event prior to a second time associated with initiation of the second technology activity event at a second network device associated with a second communication channel.

A method for establishing a small cell telecommunications network is provided. The method includes determining a plurality of sets of candidate locations, in which each set includes candidate locations for establishing small cell base transceiver stations to provide wireless network service. Each location in the set is determined by applying a gradient descent process to find a local optimal location. The evaluation criteria in the process can include, e.g., an estimated number of people expected to receive coverage, and/or the cost of operating the base transceiver stations. The plurality of sets are evaluated to determine a set of global optimal locations. The evaluation criteria can include, e.g., the expected revenue generated per unit time minus the cost of operating the base transceiver stations per unit time.

Systems and method for cell site inspection by a cell site operator using an Unmanned Aerial Vehicle (UAV) and a processing device include creating an initial computer model of a cell site and surrounding geography at a first point in time, wherein the initial computer model represents a known good state of the cell site and the surrounding geography; providing the initial computer model to one or more of the UAV and the processing device; capturing current data of the cell site and the surrounding geography at a second point in time using the UAV; comparing the current data to the initial computer model by the processing device; and identifying variances between the current data and the initial computer model, wherein the variances comprise differences at the cell site and the surrounding geography between the first point in time and the second point in time.

Systems and method for cell site inspection by a cell site operator using an Unmanned Aerial Vehicle (UAV) and a processing device include creating an initial computer model of a cell site and surrounding geography at a first point in time, wherein the initial computer model represents a known good state of the cell site and the surrounding geography; providing the initial computer model to one or more of the UAV and the processing device; capturing current data of the cell site and the surrounding geography at a second point in time using the UAV; comparing the current data to the initial computer model by the processing device; and identifying variances between the current data and the initial computer model, wherein the variances comprise differences at the cell site and the surrounding geography between the first point in time and the second point in time.

A method and a device for anticipating a reconnection, to a second access point, of a mobile station connected to a first access point that forms a wireless telecommunication network. The physical bit rate between the first access point and mobile station with respect to a reception power of a signal sent by a mobile station and received by the first access point from measurements of reception power of signals sent by the mobile station and received by the first access point, calculates physical bit rates between access points and mobile station. A rate of variation of the physical bit rates between access points and mobile stations from measurements obtained and from the modelling, an anticipation of physical bit rate between access points and the mobile stations and determines whether a reconnection of the station to the second access point must be made among other things from the calculated anticipations.

A method and a device for anticipating a reconnection, to a second access point, of a mobile station connected to a first access point that forms a wireless telecommunication network. The physical bit rate between the first access point and mobile station with respect to a reception power of a signal sent by a mobile station and received by the first access point from measurements of reception power of signals sent by the mobile station and received by the first access point, calculates physical bit rates between access points and mobile station. A rate of variation of the physical bit rates between access points and mobile stations from measurements obtained and from the modelling, an anticipation of physical bit rate between access points and the mobile stations and determines whether a reconnection of the station to the second access point must be made among other things from the calculated anticipations.