A channel sounding testing device is provided. The channel sounding testing device comprises a processor configured to use channel models and scenario specific propagation parameters, which are verified by comparable channel measurements in representative environments, to perform testing operations.

Aspects of the embodiments are directed to systems, methods, and computer program products for displaying floorplans and electromagnetic (EM) emissions to facilitate EM emission design within the floorplan. The display of the floorplan and EM emissions can be performed on a wearable device, such as a augmented reality implement or virtual reality implement. The implement can also facilitate a configuration, manipulation, and revision of floorplan and EM emitter positioning, to allow an operator to more precisely configure EM emitter placement and selection.

A method for testing radio frequency performance of a wireless device is provided. Power level reporting information of a device under test is obtained. A propagation matrix is obtained based on the power level reporting information. An inverse matrix is obtained based on the propagation matrix to form a virtual cable between an output port of an instrument and a receiver port of the device under test. A throughput test signal is transmitted through the virtual cable to perform a performance test on the device under test and to obtain a test result of the radio frequency performance.

The disclosure provides a wireless channel scenario identification method and system. The method includes: simulating different wireless channel scenarios to obtain a channel scenario baseband signal y(t).sub.pq; extracting a feature parameter of y(t).sub.pq, extracting an autocorrelation function A.sub.h(t).sub.pq and performing a Fourier transform thereon to obtain a power spectral density function S(t).sub.pq; normalizing S(t).sub.pq to obtain a normalized channel scenario power spectral density function S(t).sub.pq; designing a deep learning network and inputting S(t).sub.pq and a category label pair to train the deep learning network; and for a system with a channel scenario to be identified, collecting a passband signal at its receiving end, obtaining the normalized scenario power spectral density function Ŝ(t).sub.pq, and using Ŝ(t).sub.pq as an input of the trained classifier, the output of the classifier being a label sequence of the channel scenario, and the channel scenario is effectively determined.

A system for synthesizing signal of user equipment and a method thereof are provided. The system includes a physical channel modeler and a physical channel training module. The physical channel modeler receives geo information of a field under test of and a sparse real physical field channel feature to build a physical channel model. The physical channel modeler estimates a plurality of predefined positions of the geo information to obtain a plurality of simulated physical field channel features corresponding to the predefined positions. The physical channel training module receives and performs training on the geo information, the sparse real physical field channel feature and the simulated physical field channel features by using an AI algorithm to perform an inference of a fully real physical field channel feature.

Embodiments of the present invention disclose a propagation path search method. In one embodiment, the method includes: defining a target three-dimensional object, where the target three-dimensional object is configured to describe full space; setting a signal transmission point in internal space of the target three-dimensional object to perform initial beam modeling of a signal point source, where the signal transmission point is used to transmit an initial beam; tracking the initial beam to determine a propagation manner generated by the initial beam in the three-dimensional object; and determining that a path corresponding to a target beam is an effective path when the target beam reaches a signal receiving point, where the target beam is included in the initial beam, or is obtained after the initial beam is split or changed.

An interference detection system in a network identifies a first wireless station that has experienced radio frequency (RF) interference from an unknown source on at least one physical resource block (PRB) and identifies one or more second wireless stations that have experienced similar interference on the at least one PRB. A plurality of estimated interference source locations are determined based at least on geographic locations of the first wireless station and the one or more second wireless stations. The plurality of estimated interference source locations are scored based on a comparison of estimate interference to observed interference at the one or more second wireless stations and a geographical map is generated based on the scored plurality of estimated interference source locations, wherein the geographical map includes indicia indicative of the relative scores of the plurality of estimated interference source locations

The current disclosure relates to systems and methods for testing the operability of a mobile device on a remote cellular communication network. The system receives one or more parameters corresponding to a mobile device and a selection of a specific geographic location in a cellular communication network. The system subsequently generates and emulates a clone image including a clone mobile device and clone base station to determine one or more operating values indicative of a performance of the mobile device at the specific geographic location based on the operation of the clone image.

An apparatus, method and work product is disclosed. The method comprises measuring plural transmit signals and corresponding receive signals and determining, using a model describing a relation between each of the plural transmit signals and a respective passive intermodulation signal, a standardized passive intermodulation signal as one or more nth order intermodulation products for a standardized transmit signal consisting of two tones each of a power of substantially 20 Watts. The method may also comprise identifying in the model one or more n.sup.th order cross-intermodulation products resulting from three or more transmit signals having different respective carrier frequencies. Responsive to the identification, the method may comprise adapting the standardized two-tone passive intermodulation signal by determining an offset for producing an adapted two-tone standardized passive intermodulation signal, n is an odd integer greater than two.

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.