A receiver receives, from a transmitter, a reference neural network. The receiver trains the reference neural network to obtain updated neural network parameters for the reference neural network. The receiver reports to the transmitter in response to a trigger, a difference between the updated neural network parameters and previous neural network parameters for the reference neural network. The trigger may be based on a loss function, a magnitude of the difference between the updated neural network parameters and the previous neural network parameters, and/or a difference between performance of the reference neural network with the updated neural network parameters and performance of the reference neural network with the previous neural network parameters.

A receiver receives, from a transmitter, a reference neural network. The receiver trains the reference neural network to obtain updated neural network parameters for the reference neural network. The receiver reports to the transmitter in response to a trigger, a difference between the updated neural network parameters and previous neural network parameters for the reference neural network. The trigger may be based on a loss function, a magnitude of the difference between the updated neural network parameters and the previous neural network parameters, and/or a difference between performance of the reference neural network with the updated neural network parameters and performance of the reference neural network with the previous neural network parameters.

A communication apparatus mounted on a vehicle includes: a camera that captures a still image used for generating a map; a positioning circuit that positions a captured position of the still image; a control circuit that associates position information indicating the captured position with image data of the still image; and a communication circuit that establishes a radio communication with a roadside unit and transmits the image data by radio to the roadside unit, in which the control circuit rearranges an transmission order of the image data to be transmitted by radio to the roadside unit, based on the position information.

A communication apparatus mounted on a vehicle includes: a camera that captures a still image used for generating a map; a positioning circuit that positions a captured position of the still image; a control circuit that associates position information indicating the captured position with image data of the still image; and a communication circuit that establishes a radio communication with a roadside unit and transmits the image data by radio to the roadside unit, in which the control circuit rearranges an transmission order of the image data to be transmitted by radio to the roadside unit, based on the position information.

An optimized limited-area WiFi network includes a plurality of Internet connectable devices, a wireless router for facilitating Internet connectivity, and a dynamically positionable signal coverage enhancer configured with an onboard processor, a signal coverage enhancing element, and mobile means. The signal coverage enhancer is repositionable, by the mobile means in response to a command signal transmitted by the processor, to a determined location of the limited-area WiFi network that is sufficiently close to one or more of the devices, such that an amplified signal produced by the signal coverage enhancing element which amplifies a wireless signal transmitted by the router maintains uninterrupted Internet operation of the to one or more devices.

An optimized limited-area WiFi network includes a plurality of Internet connectable devices, a wireless router for facilitating Internet connectivity, and a dynamically positionable signal coverage enhancer configured with an onboard processor, a signal coverage enhancing element, and mobile means. The signal coverage enhancer is repositionable, by the mobile means in response to a command signal transmitted by the processor, to a determined location of the limited-area WiFi network that is sufficiently close to one or more of the devices, such that an amplified signal produced by the signal coverage enhancing element which amplifies a wireless signal transmitted by the router maintains uninterrupted Internet operation of the to one or more devices.

The system stores process information including information on processes before starting at a manufacturing site, and management information that manages radio performance estimation methods usable for each of applications and information for determining a processing time of each of the radio performance estimation methods. The process information includes information on applications used in each process of the processes and information on a time associated with each process. The system refers to the process information and the management information so as to determine radio performance estimation methods usable in each process, and refers to the process information and the management information so as to select a wireless communication method, through which radio performance estimation processing is completed by a time associated with each process, from the radio performance estimation methods usable in each process.

The present invention relates to an allocation method in a transmission network on-board a mobile vehicle, the network comprising wireless access points configured for transmitting and receiving, over a functioning channel, radio signals between said access point and a plurality of terminals.

The method comprising the following steps: provision of a digital model of the mobile vehicle and of the access points; for every available channel and for every access point, simulation of the propagation of signals from said access point on said available channel; for every available channel, for every access point and for every terminal, determination of an estimated associated bandwidth according to the simulation; allocation of one of the available channels and one of the access points to every terminal according to the estimated bandwidths.

A method is provided of limiting machine learning (ML) model training data, including receiving a maximum number of entries per grid box N. Grids are defined, each grid having grid boxes and covering a geographic area defined by a different cell list of a communication network, each grid box covering a different portion of the geographic area. Truth call records having truth data reporting geolocation (GL) data are selected from multiple received call records. A grid box is determined for each truth call record that covers a geographic area including the GL indicated by the truth call record's GL data. Truth call records are selectively assigned to their determined grid box in a fashion to not exceed the maximum number of entries per grid box N, and the truth data and signal detail data of only the assigned truth call records are output as the ML model training data.

Methods, systems, and non-transitory computer readable media for validating a simulated component of a communication network using real traffic. More particularly, a simulator instantiates a simulation environment that includes a base station module, a user equipment (UE) module, and a simulated communication link therebetween. Real traffic generated by a non-simulated UE is sent to a proxy that routes the traffic to the UE module. As a result, test software instated in the simulation environment can be validated using traffic generated by a non-simulated UE.