A system includes a wireless transceiver providing access to primary and secondary hotspot in-vehicle networks and a vehicle processor. The vehicle processor monitors data usage on the secondary hotspot network, and, responsive to the data usage exceeding a predefined data limit, throttles a data transfer rate of the secondary hotspot network in a predefined manner, while leaving the primary hotspot network unconstrained.

A system includes a wireless transceiver providing access to primary and secondary hotspot in-vehicle networks and a vehicle processor. The vehicle processor monitors data usage on the secondary hotspot network, and, responsive to the data usage exceeding a predefined data limit, throttles a data transfer rate of the secondary hotspot network in a predefined manner, while leaving the primary hotspot network unconstrained.

Decision-making equipment (22) is configured for link change decision-making using reinforcement learning. The decision-making equipment (22) is configured to track rewards (30-1, . . . 30-M) earned for, and outcomes (28-1, . . . 28-M) of, respective link change decisions (26-1, . . . 26-M). In some embodiments, possible outcomes of a link change decision to change a serving link of a wireless device to a target link include at least: a change of the serving link of the wireless device from the target link to another link; and a network-initiated disconnect of the wireless device from the target link. Regardless, the decision-making equipment (22) is also configured to make a link change decision (28-(M+1)) based on the tracked rewards (30-1, . . . 30-M) and outcomes (28-1, . . . 28-M).

Methods, systems, and devices for wireless communications are described. A UE may establish a wireless communication link with a base station in accordance with a radio access technology (RAT), and an internet connection with the base station. The UE may identify a lack of support by a network that includes the base station for a type of voice calls associated with the RAT. The UE may transmit a discovery query for a gateway to a core network, and the UE may establish a connection with the gateway via the internet connection. The UE may initiate a voice call via a call path from the UE to the core network, where the call path may include the wireless communications link with the base station in accordance with the RAT and also may include the internet connection with the gateway.

Predicting small cell capacity and coverage to facilitate offloading of macrocell capacity is presented herein. A system selects a group of candidate locations for placement of respective small cells to facilitate offloading, via the respective small cells, of traffic from respective macrocells corresponding to the candidate locations—the respective small cells including first transmission powers that are less than second transmission powers of the respective macrocells. Further, for each candidate location of the group of candidate locations, the system determines an estimated amount of traffic capacity of a small cell of the respective small cells that has been presumed to have been placed at the candidate location, and determines estimated signal strengths of respective signals that have been predicted to have been received from the small cell at respective portions of a grid of a defined signal coverage area corresponding to the candidate location.

Predicting small cell capacity and coverage to facilitate offloading of macrocell capacity is presented herein. A system selects a group of candidate locations for placement of respective small cells to facilitate offloading, via the respective small cells, of traffic from respective macrocells corresponding to the candidate locations—the respective small cells including first transmission powers that are less than second transmission powers of the respective macrocells. Further, for each candidate location of the group of candidate locations, the system determines an estimated amount of traffic capacity of a small cell of the respective small cells that has been presumed to have been placed at the candidate location, and determines estimated signal strengths of respective signals that have been predicted to have been received from the small cell at respective portions of a grid of a defined signal coverage area corresponding to the candidate location.

The A voice call processing method includes, when a terminal meets at least one of two preset conditions, performing handover from a Long Term Evolution (LTE) network currently accessed by the terminal to a non-LTE standard network, and performing a circuit switched (CS) voice call process on the non-LTE standard network.

An unmanned aerial vehicle uses a calculation unit to calculate a distance between the unmanned aerial vehicle and a controller, uses a search unit to search for an available moving body communication line when the distance exceeds a predetermined threshold in a case where the unmanned aerial vehicle and the controller are directly communicating with each other, and uses a communication continuation processing unit to perform predetermined processing for continuing the communication depending on a search result. The unmanned aerial vehicle, the controller, and the management device may be linked to a block-chain network by communication via the block-chain network in association with processing.

During operation, an access point aggregates communication-performance information and behavior information in a wireless local area network (WLAN) corresponding to an electronic device, where the communication-performance information and the behavior information are aggregated over a time interval that is longer than an instance of a connection or association of the electronic device to the WLAN. Then, the access point provides the communication-performance information and the behavior information to a second electronic device. After receiving information about another instance of a connection or association of the electronic device to the WLAN, the access point provides a request to the second electronic device for historical information about communication performance and behavior of the electronic device in the WLAN. Moreover, after receiving the historical information, the access point selectively provides the transition recommendation in the WLAN to the electronic device, where the transition recommendation is based at least in part on the historical information.

Methods and apparatus for controlling device use of available networks, e.g., cellular and WiFi, are described. End devices report key performance indicator and resource utilization information, e.g., on a per application basis, to a configuration server. The configuration server determines, based on the received information, e.g., using machine learning and/or artificial intelligence, sets of configuration profiles, each configuration profile including one or more set of applications for which an end device should use a particular network. An exemplary configuration profile may identify a first set of applications for which a first network is to be used, e.g., a cellular network such as a P-LTE network, and a second set of applications for which a second network, e.g. a WiFi network, is to be used. The configuration server selects a configuration profile that is best suited for a particular end device and communicates that selected profile to the end device.