H04B17/3912

DYNAMIC LINK-BUDGET MONITORING AND GRAPHICAL DISPLAY
20170311174 · 2017-10-26 ·

The presently disclosed subject matter includes: calculating link-budget of at least one antenna on-board a vehicle with respect to at least one target antenna; the link-budget comprises a respective link-budget value assigned to each pixel in a collection of pixels, where each pixel in the collection of pixels represents a respective radiation vector in a three-dimensional space around the at least one antenna; determining for each pixel in the collection of pixels, compliance of the respective link-budget value with a sensitivity threshold value of the transceiver, thereby obtaining a respective antenna envelope of the at least one on-board antenna; displaying on a computer display device graphical representation of a pixel map representing at least the respective antenna envelope; continuously monitoring dynamics of the input data for repeatedly updating the pixel map, and displaying an updated graphical representation of the pixel map.

RF SCENE GENERATION SIMULATION WITH EXTERNAL MARITIME SURFACE
20220057484 · 2022-02-24 ·

Embodiments of a system for simulating a radio frequency (RF) scene associated with a moving maritime surface are generally described herein. An RF scene is generated using an RF scene generation model and a moving maritime surface is generated using a maritime surface model. The RF scene is integrated with the moving maritime surface model. The RF scene generation model is configured to apply a radar model to generate and update the RF scene based on simulated radar returns at a radar pulse repetition frequency (PRF) and the maritime surface model is configured to update the moving maritime surface at a maritime surface update rate, access previous and current maritime surfaces, and interpolate surface facet properties to pulse times of the radar model, The maritime surface model is configured to update the moving maritime surface once every subdwell.

METHODS, SYSTEMS AND COMPUTER READABLE MEDIA FOR SIMULATING PER USER EQUIPMENT (UE) SLOW AND FAST SIGNAL FADING FOR TESTING AIR INTERFACE DEVICES
20170311186 · 2017-10-26 ·

A network equipment test device includes per-UE uplink signal generation processing chains for generating per-UE time domain uplink signals. Per-UE signal faders simulate per-UE signal fading for the per-UE time domain uplink signals. Different phases and amplitudes are used over time to simulate different signal fading. Fourier transformation units perform Fourier transformation of each of the time domain uplink signals to produce per-UE frequency domain uplink signals with simulated per-UE signal fading. A subcarrier mapping unit performs subcarrier mapping of the per-UE frequency domain uplink signals to produce a frequency domain multi-UE uplink signal with simulated per-UE signal fading. An inverse Fourier transformation unit performs inverse Fourier transformation of the frequency domain multi-UE uplink signal to produce a multi-UE time domain uplink signal with simulated per-UE signal fading. A network interface transmits the time domain multi-UE uplink signal with simulated per-UE signal fading to the DUT.

MULTI-INPUT, MULTI-OUTPUT (MIMO) EMULATED CHANNEL MEASUREMENTS AND EVALUATION
20220060916 · 2022-02-24 ·

A system or method for emulating wireless channels, including a multi-input, multi-output (MIMO) channel, for evaluation of a wireless system is provided. To emulate the wireless channel, a series of in-field measurements of the wireless signal may be obtained and used to configure one or more communication devices for the signal evaluation. A virtual circular antenna may be controlled to obtain a first set of measurements based on a first trigger signal and a second set of measurements based on a second trigger signal delayed from the first trigger signal. The second set of measurements of the wireless signal, in addition to the first set of measurements, may approximate or may be an equivalent of the MIMO channel. The obtained or derived characteristics of the in-field wireless signal may be used to emulate a channel in a laboratory setting to evaluate one or more aspects of a wireless communication system.

Mapping Entities to Accounts for De-Anonymization of Online Activity

The Internet generally provides anonymity to the online activities of visitors to web sites and other online resources. This prevents the operators of web sites and others from identifying visitors who do not wish to be identified. Accordingly, embodiments generate mappings between entities (e.g., IP addresses, domains, cookies, or devices) and accounts (e.g., companies) to de-anonymize online activities. In an embodiment, summary mappings are generated based on activity data. Each summary mapping may comprise an entity, potential account identifier, and an activity vector that measures observations of an association between the entity and potential account identifier from an activity source for multiple summary periods. A model may be applied to the summary mappings to compute signal strengths for a plurality of candidate mappings. A winning mapping may then be selected for each entity in the candidate mappings, and used to associate the entity with an account in one or more downstream functions.

Learning communication systems using channel approximation

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training and deploying machine-learned communication over RF channels. In some implementations, information is obtained. An encoder network is used to process the information and generate a first RF signal. The first RF signal is transmitted through a first channel. A second RF signal is determined that represents the first RF signal having been altered by transmission through the first channel. Transmission of the first RF signal is simulated over a second channel implementing a machine-learning network, the second channel representing a model of the first channel. A simulated RF signal that represents the first RF signal having been altered by simulated transmission through the second channel is determined. A measure of distance between the second RF signal and the simulated RF signal is calculated. The machine-learning network is updated using the measure of distance.

SYSTEM AND METHOD FOR REMOTE KEYLESS SYSTEM CHARACTERIZATION

Various embodiments of the present disclosure provide a system and method for characterizing the radio frequency (RF) functionality of a vehicle remote keyless system (RKS) by separating and precisely characterizing the individual bits of the overall RKS system in an enclosed controlled environment. More specifically, this RKS characterization system includes an enclosed testing chamber for isolating the key fob from the vehicle, and a simulation control system that manipulates RF signals between the key fob and the vehicle for controlled RF signal analysis between the components. In certain embodiments, the RKS characterization system includes an automated process for actuating the key fob. Through this process, the RKS characterization system is able to separately identify the Key Fob Factor, the Vehicle Factor, and the Person Factor, of the vehicle RKS system.

Over-the-air test

A testing system optimizes a cost function of a theoretical spatial cross correlation and a spatial correlation obtained with antenna elements for determining weights of the antenna elements, and forms a beam of a signal of at least one path of a simulated radio channel with at least two antenna elements of a plurality of antenna elements coupled to an emulator in an anechoic chamber. The at least two antenna elements are capable of polarizing the beam in a known manner.

Over-the air test

A radio channel generator has a radio channel model predistorted on the basis of a predetermined chamber model. An emulator receives the weights of the radio channel model predistorted on the basis of the chamber model. A transmitter feeds a communication signal to the emulator. The emulator weights the communication signal with the radio channel model predistorted on the basis of the chamber model. The over-the-air antennas receive the weighted communication signal and transmit it to a device under test. The chamber model is based on a simulation or a measurement. The chamber model takes into account undesired interactions in the over-the-air chamber for cancelling them during the radio channel emulation.

SELECTION SYSTEM FOR WAVEFORMS AND WAVEFORM PARAMETERS IN 5G AND BEYOND NEXT GENERATION COMMUNICATION SYSTEMS
20220052897 · 2022-02-17 ·

Disclosed are various strategies on general system optimization and selection of user parameters related to waveforms during the usage of multiple waveforms and/or multiple numerology structures in fifth generation (5G) and beyond next generation cellular communication systems.