In one embodiment, a computing system accesses a plurality of quality of experience metrics from a plurality of geographic areas, respectively. The system identifies a first geographic area of the plurality of geographic areas connected by a first communication network that has low quality of experiences based on quality of experience metrics and a set of criteria. The set of criteria comprises one or more thresholds corresponding to the quality of experience metrics. The system determines, for the first geographic area, a severity of the low quality of experiences. The severity is based on a connection demand metric associated with each geographic area. The system identifies a second communication network that has one or more quality of experience metrics higher than the first communication network. The system sends, to the client system, instructions for automatically changing from the first communication network to the second communication network.

Some implementations of the disclosure relate to a backend server that is configured to perform operations including: determining one or more radio frequency (RF) gateways that are candidates for communicating with an end device over a RF link in a low-power wide-area network (LPWAN); obtaining, for each of the one or more RF gateways, a round trip time (RTT) of communications between the backend server and the RF gateway over a backhaul link; determining whether at least one of the one or more RTTs exceeds a threshold value; and when at least one of the one or more RTTs exceeds the threshold value, increasing a configured time interval between transmission of an uplink message by the end device and a downlink receive time slot in which the end device is configured to listen for a downlink message.

Various arrangements for performing cellular network slice assignment are detailed herein. A cellular network can be used to provide cellular network service to user equipment (UE) using a first slice of the cellular network. The cellular network can receive from the UE a request to transition to a different slice of the cellular network that provides a quality of service (QoS) parameter that is greater than the QoS on an original slice. The cellular network can determine that the UE is eligible to be moved to the different slice based on a location of the UE. Based on receiving the request to transition and the location of the UE, the UE can be reassigned to the different slice of the cellular network.

Provided are a method of a base station for controlling transmission and reception of data through a network slice. The method includes: receiving network slice request information from a terminal in which a network slice is configured; controlling so as to deliver the network slice request information to a core network entity; and receiving, from the core network entity, specific network slice information configured on the basis of the network slice request information.

Various arrangements for managing network channels are presented. A backend system may receive data from one or more data sources. The backend system may determine, based at least in part on the data received from the one or more data sources, a triggering event and a location related to the triggering event. The backend system may transmit, to an unmanned aerial vehicle (UAV), first location data associated with the location related to the triggering event. The backend system can receive, from the UAV, network congestion information associated with a connection between one or more devices and the UAV. Based at least in part on the network congestion information, the backend system may send second location data to the UAV.

Techniques and systems relate to utilizing network metrics to optimize performance and network coverage for a telecommunications network. Using techniques described herein, a telecommunications network may utilize network metrics collected from user equipment (UE) devices to determine how where to deploy cells, such as 5G cells, in order to optimize network performance. Metrics are collected by UE that indicates the use of different wireless access technologies (e.g., 3G, 4G, 4G LTE, 5G, . . . ) within a telecommunications network.

Disclosed embodiments are related to techniques for implementing Vehicle-to-Everything (V2X) communications in Multi-access Edge Computing (MEC) systems and networks. V2X system scenarios characterized by high mobility and dynamic topologies, where the accuracy and timeliness of radio network information, location information may be hampered by environmental conditions and deployment density of network infrastructure. The disclosed embodiments provide a V2X Information Service (VIS) framework for cooperative acquisition, partitioning, and distribution of information for efficient, journey-specific quality-of-service (QoS) predictions. The VIS framework identifies space/time correlations between radio condition/quality data collected in V2X system(s) and a vehicle's planned journey for better prediction of the radio conditions/quality of the communication network along the designated route. As a consequence, the VIS may expose journey-specific information about the QoS prediction to authorized devices. Other embodiments may be described and/or claimed.

A wireless communication section wirelessly communicates with a communication terminal present in a target space. An information acquiring section acquires a value representing congestion of a target space. A learned model is a model that has been trained using training data including a value representing the congestion of a target space used for learning, a bandwidth, a channel, and throughput. An AI processing section inputs the value representing the congestion of the target space acquired by the information acquiring section to the learned model and acquires a bandwidth and a channel output by the learned model. A bandwidth controller causes the wireless communication section to perform wireless communication using the bandwidth acquired by the AI processing section. The channel controller causes the wireless communication section to perform wireless communication using the channel acquired by the AI processing section.

A feedback method, including: determining that a geographical distance between a data receiver and a data transmitter exceeds a quality of service (QoS) communication distance; sending out-of-range feedback information, and the out-of-range feedback information is configured to indicate that the geographical distance between the data receiver and the data transmitter exceeds the QoS communication distance.

A communication volume control device according to an aspect of the present disclosure includes: at least one memory configured to store instructions; and at least one processor configured to execute the instructions to: acquire, when a disaster occurs, target area information indicating a target area expected to be impacted by the disaster that has occurred; and instruct a plurality of imaging devices, which are mounted to each of a plurality of moving bodies and which transmit monitoring information related to captured images to a monitoring device at a predetermined timing, to adjust a communication volume based on the target area information when transmitting the monitoring information to the monitoring device from the imaging devices.