Mechanisms for performance degradation reporting in a microwave system, which comprises a point-to-point wireless microwave link, are provided. A method is performed by a controller entity. The method comprises obtaining classified microwave link data. The classified microwave link data represents microwave link data of the point-to-point wireless microwave link as classified to operating conditions in a set of operating conditions. The method comprises detecting performance degradation affecting data throughput in the microwave system by analysing performance data of the point-to-point wireless microwave link. The method comprises determining, by using the performance data and cause of the performance degradation that attention from an operator entity in the microwave system is required. The cause is defined by the microwave link data as classified to the operating conditions. The method comprises providing an indication to the operator entity only when attention from the operator entity is required. The indication is an indication of the performance degradation and the cause of the performance degradation.

Mechanisms for performance degradation reporting in a microwave system, which comprises a point-to-point wireless microwave link, are provided. A method is performed by a controller entity. The method comprises obtaining classified microwave link data. The classified microwave link data represents microwave link data of the point-to-point wireless microwave link as classified to operating conditions in a set of operating conditions. The method comprises detecting performance degradation affecting data throughput in the microwave system by analysing performance data of the point-to-point wireless microwave link. The method comprises determining, by using the performance data and cause of the performance degradation that attention from an operator entity in the microwave system is required. The cause is defined by the microwave link data as classified to the operating conditions. The method comprises providing an indication to the operator entity only when attention from the operator entity is required. The indication is an indication of the performance degradation and the cause of the performance degradation.

A beam measurement method is provided. A terminal obtains beam measurement result reporting configuration of a neighbor cell, and determines a reference signal configuration of beam measurement of the neighbor cell. The terminal performs the beam measurement on the reference signal of the neighbor cell based on the reference signal configuration of the beam measurement. The terminal reports a beam measurement result of the neighbor cell.

A beam measurement method is provided. A terminal obtains beam measurement result reporting configuration of a neighbor cell, and determines a reference signal configuration of beam measurement of the neighbor cell. The terminal performs the beam measurement on the reference signal of the neighbor cell based on the reference signal configuration of the beam measurement. The terminal reports a beam measurement result of the neighbor cell.

Systems, methods, apparatuses, and computer program products for determining a grid-of-beams (GoB) are provided. One method may include collecting network data for training a neural network, train the neural network, using the collected data, to learn a non-discounted cumulative reward Q that evaluates a benefit of including a given beam into a grid-of-beams (GoB), iteratively applying the trained neural network to select at least one optimal beam to include in the grid-of-beams (GoB), and selecting one or more beams from the grid-of-beams (GoB) to transmit to a user equipment or to receive transmission from the user equipment.

Systems, methods, apparatuses, and computer program products for determining a grid-of-beams (GoB) are provided. One method may include collecting network data for training a neural network, train the neural network, using the collected data, to learn a non-discounted cumulative reward Q that evaluates a benefit of including a given beam into a grid-of-beams (GoB), iteratively applying the trained neural network to select at least one optimal beam to include in the grid-of-beams (GoB), and selecting one or more beams from the grid-of-beams (GoB) to transmit to a user equipment or to receive transmission from the user equipment.

Improved testing of medical devices, in particular medical devices providing wireless communication capabilities. A communication link between a medical device under test and the communication tester is established and a signal quality indicator of the established communication link is monitored while interfering the communication link by one or more interfering signals.

Systems and methods for data collection for an industrial heating process are disclosed. The system according to one embodiment can include a plurality of data collectors, including a swarm of self-organized data collector members, wherein the swarm of self-organized data collector members organize to enhance data collection based on at least one of capabilities and conditions of the data collector members of the swarm, and wherein the plurality of data collectors is coupled to a plurality of input channels for acquiring collected data relating to the industrial heating process, and a data acquisition and analysis circuit for receiving the collected data via the plurality of input channels and structured to analyze the received collected data using a neural network to monitor a plurality of conditions relating to the industrial heating process.

Systems and methods for data collection for an industrial heating process are disclosed. The system according to one embodiment can include a plurality of data collectors, including a swarm of self-organized data collector members, wherein the swarm of self-organized data collector members organize to enhance data collection based on at least one of capabilities and conditions of the data collector members of the swarm, and wherein the plurality of data collectors is coupled to a plurality of input channels for acquiring collected data relating to the industrial heating process, and a data acquisition and analysis circuit for receiving the collected data via the plurality of input channels and structured to analyze the received collected data using a neural network to monitor a plurality of conditions relating to the industrial heating process.

Techniques are described for expanding and/or improving the Advanced Television Systems Committee (ATSC) 3.0 television protocol in robustly delivering the next generation broadcast television services. In a boundary region between first and second broadcast stations in which a receiver can pick up signals from both stations, a lower level signaling PLP is used to identify a channel quality metric for identifying the best frequency to receive a broadcast service on which is sent from both stations.