A system configured to perform a method for estimating external noise in a communication channel between a transmitter and a receiver is described. The method comprises obtaining a measurement of effective noise on decoded symbols at the receiver, the decoded symbols comprising noisy versions of symbols conveyed by a communication signal transmitted over the communication channel. The method further comprises storing a representation of a relationship between the effective noise, external noise in the communication channel, and one or more variable parameters. The method further comprises storing applicable values of the variable parameters, wherein each applicable value is associated with current properties of the transmitter or current properties of the receiver or both. The method further comprises calculating an estimate of the external noise in the communication channel using the effective noise, the applicable values of the variable parameters, and the representation of the relationship.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training and deploying machine-learned communication. One of the methods includes: receiving an RF signal at a signal processing system for training a machine-learning network; providing the RF signal through the machine-learning network; producing an output from the machine-learning network; measuring a distance metric between the signal processing model output and a reference model output; determining modifications to the machine-learning network to reduce the distance metric between the output and the reference model output; and in response to reducing the distance metric to a value that is less than or equal to a threshold value, determining a score of the trained machine-learning network using one or more other RF signals and one or more other corresponding reference model outputs, the score indicating an a performance metric of the trained machine-learning network to perform the desired RF function.

An example device includes a memory configured to store video data; and one or more processors implemented in circuitry and configured to: receive tracking and sensor information from an extended reality (XR) client device; generate scene data using the tracking and sensor information, the scene data comprising one or more video frames of the video data; encode the video frames to form encoded video frames; perform a radio access network (RAN) simulation of delivering the encoded video frames via a radio access network; decode the encoded video frames delivered according to the RAN simulation to form decoded video frames; calculate values representing individual frame quality for each of the video frames from the generated one or more video frames and the decoded video frames; and determine an overall quality value from the values representing the individual frame quality for each of the video frames.

A control device acquires quality information indicating a correspondence relationship between a position and a communication quality related to wireless communication at the position, and route information indicating a scheduled moving route of a terminal device, specifies an area including at least a part of the scheduled moving route among areas in which the communication quality is determined to be lower than a predetermined communication quality on a basis of the quality information and the route information, and executes control for moving a mobile base station to a position where a wireless communication service can be provided in the specified area.

This document describes techniques and systems to generate a point-source model for simulating near-field effects from structures of an antenna. The techniques and systems generate, based on near-field values extracted from electromagnetic simulations, respective far-field radiation patterns for active elements and, in some cases, passive elements of the antenna array. The far-field radiation patterns account for electromagnetic interactions between the active elements and an antenna structure, which can include passive elements of the antenna array. The techniques and systems output the far-field radiation patterns, which are effective to simulate, using an asymptotic numerical method, electromagnetic interactions between the antenna array and at least one interaction structure. Using the described point-source model, engineers can quickly and accurately simulate electromagnetic interactions between the antenna array and the interaction structure for various configurations and applications of the antenna array.

A massive multiple-input multiple-output (MIMO) robust precoding transmission method under imperfect channel state information (CSI), wherein the imperfect CSI obtained by the base station (BS) side of the massive MIMO system is modeled as an a posteriori statistical channel model including channel mean and channel variance information. The model considers the effects of channel estimation error, channel aging and spatial correlation. The BS performs the robust precoding transmission by using the a posteriori statistical channel model, so that the universality problem of the massive MIMO to various typical moving scenarios can be solved, and high spectral efficiency is achieved.

A method for emulating a communication system with fast changing link condition, applied to a testbed system including an interference emulator, a transmitter, and a receiver, includes: by the transmitter, generating code-word symbols, in an initial symbol sequence, according to information bits; evaluating an interference condition and a time duration for each code-word symbol; reordering the code-word symbols to a reordered symbol sequence based on interference conditions; evaluating a total time duration of code-word symbols under each interference condition; and transmitting the code-word symbols in the reordered symbol sequence. The method also includes: by the interference emulator, obtaining the total time duration of code-word symbols under each interference condition from the transmitter; and providing an emulated interference environment by ordering the time durations of different interference conditions. The start time for transmitting code-word symbols with an interference condition is synchronized with the start time for emulating the interference condition.

A radio wave environment analyzer includes a memory that holds location information on a radio transmitter disposed in a target area where a moving body is present and location information on a reference point at which a radio wave from the radio transmitter is received, and a processor that obtains (i) a first reception intensity of the radio wave at the reference point when the moving body is present at an initial location and (ii) a plurality of second reception intensities of the radio wave at the reference point respectively corresponding to cases where the moving body is present at a plurality of movement locations. The processor selects one or more locations out of the plurality of movement locations to execute a simulation of a radio wave environment in the target area, based on the first reception intensity and the plurality of second reception intensities.

A radio terminal accommodation determination device includes: an average received power calculation unit for calculating an average received power for each mesh constituting an area; an interfering signal power CDF creation unit for creating a cumulative distribution function of all interfering signal powers; an intended signal power PDF creation unit for creating a fourth probability density function indicating a probability density function of an intended signal power; and a communication success rate estimation unit for calculating, for each base station, a communication success rate of the intended terminal based on the cumulative distribution function and the fourth probability density function.

Device and method can be provided for emulating a system which includes a wireless channel, a wireless transmitter, and a wireless receiver. For example, with an emulation processor, it is possible to receive baseband data, process the received baseband data, and transmit the processed baseband data. Further, with a controller, it is possible to receive configuration information pertaining to the wireless channel, the wireless transmitter, and the wireless receiver to be emulated; and configure the emulation processor according to the received configuration information.