Systems and methods for correlating wireless communication performance with vehicle system configurations determine wireless message characteristics of wireless messages communicated with vehicles in vehicle systems and locations along a route where the wireless message characteristics were determined. The wireless message characteristics and the locations can be determined during movement of the vehicle systems along a route. Relative positions of the vehicles in the vehicle systems is obtained, and a signal propagation profile is determined based on the wireless message characteristics, the locations where the wireless message characteristics were determined, and the relative positions of the vehicles. The signal propagation profile can represent relationships between the wireless message characteristics, the relative positions of the vehicles, and the locations along the route. This profile can be used to control movement and/or communication of other rail vehicle systems, to generate trip plans for other vehicle systems, to diagnose communication faults, and the like.

Systems and methods for correlating wireless communication performance with vehicle system configurations determine wireless message characteristics of wireless messages communicated with vehicles in vehicle systems and locations along a route where the wireless message characteristics were determined. The wireless message characteristics and the locations can be determined during movement of the vehicle systems along a route. Relative positions of the vehicles in the vehicle systems is obtained, and a signal propagation profile is determined based on the wireless message characteristics, the locations where the wireless message characteristics were determined, and the relative positions of the vehicles. The signal propagation profile can represent relationships between the wireless message characteristics, the relative positions of the vehicles, and the locations along the route. This profile can be used to control movement and/or communication of other rail vehicle systems, to generate trip plans for other vehicle systems, to diagnose communication faults, and the like.

In some examples, a computing device may determine a prediction of a network outage of a network. The computing device may determine a priority of one or more data types expected to be received during the network outage. Further, the computing device may determine a latency category of the one or more data types expected to be received during the network outage. The computing device may store a data transmission rule for the one or more data types at least partially based on the priority and the latency category. The computing device may receive, from one or more data generators, during the network outage, data for transmission to the network. The computing device may transmit at least some of the received data to the network at least partially based on the data transmission rule.

There is provided a communication relay device including at least one memory, and at least one processor coupled to the at least one memory, respectively, and the at least one processor configured to relay messages exchanged between a first wireless-base-station and a first wireless-network-side-device, or between a second wireless-base-station and a second wireless-network-side-device, acquire, from the messages, first and second statistic-information related to call processing between first and second wireless-base-stations and first and second wireless-network-side-devices, respectively, determine, in accordance with a number of first and second terminal-devices coupled to the first and second wireless-base-stations, respectively, included in first second statistic-information, respectively, an order of establishment of first and second communication sessions between the first and second wireless-base-stations and the first and second wireless-network-side-devices, respectively, and establish, when switching of a path of relaying a communication is performed, the first and second communication sessions in accordance with the order of establishment.

An example system includes a server communicatively connected to a cellular base transceiver station having an RF coverage area and configured for RF communication with a first entity that is a transceiver device in the RF coverage area, wherein the server comprises a first publish-subscribe broker that is part of a publish-subscribe broker network that comprises one or more publish-subscribe brokers, wherein a second entity connected to any of the one or more publish-subscribe brokers in the publish-subscribe broker network accepts communications from the transceiver device if the second entity subscribes to data packets published by the transceiver device, and wherein the data packets published by the transceiver device are routed through the publish-subscribe broker to which the second entity is connected.

An example system includes a server communicatively connected to a cellular base transceiver station having an RF coverage area and configured for RF communication with a first entity that is a transceiver device in the RF coverage area, wherein the server comprises a first publish-subscribe broker that is part of a publish-subscribe broker network that comprises one or more publish-subscribe brokers, wherein a second entity connected to any of the one or more publish-subscribe brokers in the publish-subscribe broker network accepts communications from the transceiver device if the second entity subscribes to data packets published by the transceiver device, and wherein the data packets published by the transceiver device are routed through the publish-subscribe broker to which the second entity is connected.

A terminal is disclosed including a processor that when a search space for a beam failure recovery (BFR) procedure associated with a control resource set (CORESET) for the BFR procedure is configured by a radio resource control (RRC) information element, performs to monitor downlink control channel during the BFR procedure in the search space for the BFR procedure configured by the RRC information element, and when the search space is not configured by the RRC information element, performs to monitor the downlink control channel during the BFR procedure in a common search space; and a receiver that monitors the downlink control channel during the BFR procedure. In other aspects a radio communication method, a base station, and a system are also disclosed.

A terminal is disclosed including a processor that when a search space for a beam failure recovery (BFR) procedure associated with a control resource set (CORESET) for the BFR procedure is configured by a radio resource control (RRC) information element, performs to monitor downlink control channel during the BFR procedure in the search space for the BFR procedure configured by the RRC information element, and when the search space is not configured by the RRC information element, performs to monitor the downlink control channel during the BFR procedure in a common search space; and a receiver that monitors the downlink control channel during the BFR procedure. In other aspects a radio communication method, a base station, and a system are also disclosed.

Techniques and apparatuses are described for generating an end-to-end machine-learning configuration for wireless networks. An end-to-end machine-learning controller determines an end-to-end machine-learning configuration for processing information exchanged through an end-to-end communication in a wireless network. The end-to-end machine-learning controller obtains capabilities of one or more devices that are utilized in the end-to-end communication. The end-to-end machine-learning controller determines the end-to-end machine-learning configuration for processing the information exchanged through the end-to-end communication, and directs the one or more devices to process the information exchanged through the end-to-end communication by forming one or more deep neural networks based on the end-to-end machine-learning configuration.

There is provided mechanisms for classifying microwave link data of a microwave system comprises a point-to-point wireless microwave link. A method is performed by a controller entity. The method comprises obtaining, in time windows, microwave link data in terms of signal quality measurement values and received power values for the point-to-point wireless microwave link. The method comprises classifying per time window, the microwave link data per time window to operating conditions in a set of operating conditions by, from the signal quality measurement values and received power values per time window, estimating probability values for each of the operating conditions according to a mapping, as learned through training, between pieces of microwave link data and operating conditions.