An apparatus, system, method, and computer-readable recording media perform smart control in a wireless network, which includes a plurality of wireless devices. Configuration parameters are obtained to set one wireless device as an active master device in the wireless network. The active master device receives updates in the configuration parameters and learned station (STA) information, and periodically transmits the updates to the configuration parameters and the learned STA information to the other wireless devices in the wireless network. Any one of the other wireless devices in the wireless network can use the updates to the configuration parameters and the learned STA information to be set as a new active master device in the wireless network when the active master device becomes out of network.

Novel techniques are described for generation, distribution, and management of route connectivity optimization (RCO) mapping. For example, as mobile devices traverse travel routes serviced by one or more mobile networks, they can experience periods of different levels of connectivity with the mobile network(s). Embodiments can collect route segment connectivity data as experienced by consumer devices during traversal through mobile networks (e.g., indicating, for each route segment, which carriers are providing service to a mobile device, the level of service being provided, etc.). A RCO can be computed and stored for the set of route segments as a function of the route segment connectivity data. The RCO can be requested by consumers, and a corresponding link can be generated. Selecting the link can provide the consumers with remote access to the RCO, with which the consumers can generate connectivity-optimized route guidance maps.

Novel techniques are described for generation, distribution, and management of route connectivity optimization (RCO) mapping. For example, as mobile devices traverse travel routes serviced by one or more mobile networks, they can experience periods of different levels of connectivity with the mobile network(s). Embodiments can collect route segment connectivity data as experienced by consumer devices during traversal through mobile networks (e.g., indicating, for each route segment, which carriers are providing service to a mobile device, the level of service being provided, etc.). A RCO can be computed and stored for the set of route segments as a function of the route segment connectivity data. The RCO can be requested by consumers, and a corresponding link can be generated. Selecting the link can provide the consumers with remote access to the RCO, with which the consumers can generate connectivity-optimized route guidance maps.

An apparatus, method, and computer-readable recording medium perform client optimized onboarding in a wireless network. A network controller of a gateway device determines a first received signal strength indicator (RSSI) of a new client device, receives a second RSSI of the new client device from each of one or more wireless extenders, and determines a strongest RSSI among the determined first RSSI and the received second RSSI from each of the one or more wireless extenders. The network controller of the gateway device receives an onboarding request with respect to any one or the gateway device and the one or more wireless extenders, and sends a command to proceed with an onboarding operation of the new client device to any one of the gateway device and the one or more wireless extenders having the strongest RSSI from the new client device.

An apparatus, method, and computer-readable recording medium perform client optimized onboarding in a wireless network. A network controller of a gateway device determines a first received signal strength indicator (RSSI) of a new client device, receives a second RSSI of the new client device from each of one or more wireless extenders, and determines a strongest RSSI among the determined first RSSI and the received second RSSI from each of the one or more wireless extenders. The network controller of the gateway device receives an onboarding request with respect to any one or the gateway device and the one or more wireless extenders, and sends a command to proceed with an onboarding operation of the new client device to any one of the gateway device and the one or more wireless extenders having the strongest RSSI from the new client device.

A base station may perform online calibration of antenna elements at two or more transmission reception points (TRPs) based on measurements by one or more user equipment (UEs). The base station may transmit a request for the one or more UEs to perform antenna calibration measurements, for the two or more TRPs, during measurement gaps. The base station may coordinate, among the two or more TRPs, transmission of reference signals during the measurement gaps. The base station may receive a report based on the antenna calibration measurements from the one or more UEs. The base station may calibrate one or more antenna elements of the two or more TRPs based on the antenna calibration measurements.

Method for orchestrating wireless sensors, including registering each of a plurality of monitoring sensors that are attached to a respective plurality of wireless hosting equipment, with an orchestrator, generating, for each sensor, a monitoring plan including a description of wireless channels/protocols for the sensor to monitor, and amounts of time that the sensor should spend monitoring each channel/protocol prior to advancing to a next channel/protocol, wherein the monitoring plan for a sensor includes directives that instruct the sensor what to do when a monitoring period for a channel/protocol is interrupted before its intended monitoring time is finished, attempting, by the sensors, to monitor the channels/protocols specified in the sensor's monitoring plan in accordance with the time specified in the sensor's monitoring plan, and generating, by each sensor, an execution report including time spent at each channel/protocol, amount of data collected from each channel/protocol, and data captured from each channel/protocol.

Method for orchestrating wireless sensors, including registering each of a plurality of monitoring sensors that are attached to a respective plurality of wireless hosting equipment, with an orchestrator, generating, for each sensor, a monitoring plan including a description of wireless channels/protocols for the sensor to monitor, and amounts of time that the sensor should spend monitoring each channel/protocol prior to advancing to a next channel/protocol, wherein the monitoring plan for a sensor includes directives that instruct the sensor what to do when a monitoring period for a channel/protocol is interrupted before its intended monitoring time is finished, attempting, by the sensors, to monitor the channels/protocols specified in the sensor's monitoring plan in accordance with the time specified in the sensor's monitoring plan, and generating, by each sensor, an execution report including time spent at each channel/protocol, amount of data collected from each channel/protocol, and data captured from each channel/protocol.

A system described herein may provide for the use of artificial intelligence/machine learning (“AI/ML”) techniques to generate models for various locations or regions (e.g., sectors) associated with one or more radio access networks (“RANs”) of a wireless network. The system may determine Key Performance Indicators (“KPIs”) or other attributes that are of particular relevance or importance for a given sector model, and may determine actions to perform with respect to particular sectors in order to enhance performance according to the KPIs that are of particular relevance to a sector model determined with respect to the particular sectors.

A system described herein may provide for the use of artificial intelligence/machine learning (“AI/ML”) techniques to generate models for various locations or regions (e.g., sectors) associated with one or more radio access networks (“RANs”) of a wireless network. The system may determine Key Performance Indicators (“KPIs”) or other attributes that are of particular relevance or importance for a given sector model, and may determine actions to perform with respect to particular sectors in order to enhance performance according to the KPIs that are of particular relevance to a sector model determined with respect to the particular sectors.