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.

Example embodiments of the present disclosure relate to applying uplink channel information to determine data processing model deployed for downlink use. According to embodiments, a solution for channel information reporting for applying uplink channel information to determine data processing model deployed for downlink use has been proposed. A data processing model is determined using uplink dataset (for example, uplink reference signal), then the data processing model is used to process downlink CSI. In this way, compared with high-resolution CSI feedback for training, it is more accurate and does not require extra CSI feedback, which significantly reduces the overhead. It also alleviates implementation efforts on the terminal device side, since no complicated CSI processing is required.

An electronic device that assesses communication performance is described. During operation, the electronic device receives information specifying a location in an environment. For example, the information may correspond to user-interface activity associated with a user interface. Notably, the user interface may include an augmented reality and the user-interface activity may include defining the location, such as by dropping a pin in the augmented reality. Then, the electronic device provides the information to an access point and/or a controller of the access point, where the location is within communication range of the access point. Next, the electronic device receives, from the access point and/or the controller, measurements of one or more communication performance metrics at or proximate to the location during a time interval. Moreover, the electronic device provides a graphical representation of the communication performance at or proximate to the location based at least in part on the measurements.

An electronic device that assesses communication performance is described. During operation, the electronic device receives information specifying a location in an environment. For example, the information may correspond to user-interface activity associated with a user interface. Notably, the user interface may include an augmented reality and the user-interface activity may include defining the location, such as by dropping a pin in the augmented reality. Then, the electronic device provides the information to an access point and/or a controller of the access point, where the location is within communication range of the access point. Next, the electronic device receives, from the access point and/or the controller, measurements of one or more communication performance metrics at or proximate to the location during a time interval. Moreover, the electronic device provides a graphical representation of the communication performance at or proximate to the location based at least in part on the measurements.

A satellite is provided, including an onboard computing device. The onboard computing device may include a processor configured to receive training data while the satellite is in orbit. The processor may be further configured to perform training at a machine learning model based at least in part on the training data. The processor may be further configured to generate model update data that specifies a modification made to the machine learning model during the training. The processor may be further configured to transmit the model update data from the satellite to an additional computing device.

A satellite is provided, including an onboard computing device. The onboard computing device may include a processor configured to receive training data while the satellite is in orbit. The processor may be further configured to perform training at a machine learning model based at least in part on the training data. The processor may be further configured to generate model update data that specifies a modification made to the machine learning model during the training. The processor may be further configured to transmit the model update data from the satellite to an additional computing device.

Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: examining one or more parameter characterizing a prospective connection of the mobile airborne article to first through Nth base stations, the one or more parameter including a Doppler shift; determining based on the examining that a criterion is satisfied, the criterion having one or more factor; and initiating handoff of the mobile airborne article to one of the first through Nth base stations based on the determining.

A system and method for improving connection reliability while navigating in cellular networks. Historical received by vehicles navigating within a cellular network are analyzed in order to create a signal propagation model. The cellular network is distributed across a geographic area including multiple cells, where each cell is a subdivision of the geographic area. The historical signals are received from transceivers deployed the cellular network. Based on the signal propagation model and an expected navigation path of the vehicle, a subset of transceivers within the cellular network is determined. The subset of transceivers is used for making selections about which transceivers the vehicle should communicate with, for example by transmitting the subset of transceivers to a system responsible for selecting which transceiver communicates with a given vehicle such that the system selects which transceiver to use from among the subset of transceivers.

Provided are an information processing device, an information processing method, and a program that enable construction of a wireless system with consideration given to interference with the surroundings of a certain area. This information processing device is provided with: a first evaluation unit that evaluates a distribution of first wireless radio waves entering the inside of a certain area when wireless radio waves are radiated from one or more transmission points set outside the area; and a determination unit that determines, on the basis of the evaluation result regarding the distribution of the first wireless radio waves, information about the disposition candidate position of a wireless base station to be disposed inside the area.

The present disclosure provides radio-frequency (RF) systems that can detect the presence of RF signals received by the system, as well as determine characteristics such as the operating frequency of RF signals, the type of RF source that transmitted each RF signal, and/or the location of each RF source with high precision and sensitivity while using low cost, scalable electronics that are versatile enough for deployment in a variety of environments. Such systems can employ a network of RF sensors that can coordinate in response to communication with a computer to perform any such detection and/or determination using trained models executed onboard the RF sensors and/or the computer. RF signals may have unique characteristics when received at one or more RF sensors that may be detected using trained models described herein, even in high noise or non-line of sight (LOS) environments and with low cost, low resolution RF receiver hardware.