21 results about "Wireless interference" patented technology

One or more computing devices, systems, and / or methods are provided. In an example, a method includes instantiating a first user equipment (UE) module on a first computing device and instantiating a second UE module on a second computing device connected to the first computing device by a wired network. A first base station (BS) module associated with the first UE module is instantiated on a third computing device coupled to the wired network and a second BS module associated with the second UE module is instantiated on a fourth computing device coupled to the wired network. A first resource allocation map is sent from the first BS module to the second BS module. An interference metric is generated based on the first resource allocation map. A data transmission between the second UE module and the second BS module is modulated based on the interference metric.

A communication management resource as discussed herein receives antenna test information derived based on simultaneous transmission of a first wireless carrier frequency and a second wireless carrier frequency from each of multiple different types of antenna hardware. The communication management resource uses the antenna test information to determine wireless interference associated with each of the multiple different types of antenna hardware. The communication management resource then deploys the multiple different types of antenna hardware in a network environment based upon the determined wireless interference.

Techniques for wireless communications are disclosed. These techniques include identifying a change in at least one of: (i) a WiFi radio channel or (ii) a cellular radio channel for a wireless station (STA) supporting both WiFi and cellular radio access technologies. The techniques further include determining one or more WiFi radio channels subject to interference from the cellular radio for the STA, based on a network message received from the STA, and modifying one or more parameters for WiFi communication relating to the STA, based on the determined one or more WiFi radio channels subject to interference.

The invention provides an LTE-U wireless signal sensing method and related equipment, which can be used for a wireless interference monitoring and spectrum management system in a complex electromagnetic environment of rail transit, and deeply integrates authorized and unauthorized spectrums, known and unknown protocols, real-time sensing and long-term optimization. A systematic solution is provided for high-reliability vehicle-ground communication, the bottleneck of an authorized spectrum is effectively broken through, on the premise that 1.8 GHz LTE-M is reserved as a high-reliability control main channel, 5.8 GHz and other authorization-free spectrums are intelligently aggregated through the LTE-U technology to serve as data auxiliary channels, under the condition that a spectrum allocation policy is not changed, the available bandwidth of the system is effectively improved by several times, and the system reliability is improved. Through envelope analysis and spectrum sensing, a clean sub-band in an unlicensed frequency band can be identified. Interference is effectively avoided, and the spectrum utilization rate is maximized.

The invention relates to the technical field of railway wireless communication, in particular to a GSM-R (Global System for Mobile Communications-Railway) vehicle-mounted front-end wireless interference test system and a method thereof. Comprising a high-resolution spectrum acquisition unit; an integrated multi-dimensional test unit; a dynamic scene adaptation unit; and an intelligent interference diagnosis unit. According to the invention, multipath channel modeling and Doppler frequency offset estimation in a vehicle-mounted high-speed mobile environment are completed through a dynamic scene adaptation unit, and scene prior information is generated; and the intelligent interference diagnosis unit constructs a vehicle-mounted adaptive multipath frequency offset estimation and interference diagnosis model according to the multi-path frequency offset estimation and interference diagnosis model, and realizes full-dimensional interference feature extraction. According to the method, sudden interference is detected by adopting double modes of known interference accurate identification and unknown interference clustering, internal and external source interference is decoupled and traced through feature analysis and hypothesis testing, the criticality is quantified, and a disposal instruction is generated. Meanwhile, based on a diagnosis-collection closed-loop scheduling mechanism, collection parameters are adjusted in a targeted mode, an interference model is iteratively optimized, and self-adaptive adaptation of the system to a vehicle-mounted dynamic scene is achieved.

A method for reducing wireless interference and power drain for a wireless input device by not requesting acknowledgements (ACK) for packets containing only displacement data. An acknowledgement is requested after a designated time or number of packets. Each displacement data packet contains all the displacement data since the last ACK to allow easy data recovery. Button clicks and other non-displacement data packets include an ACK request.

An access point for interference detection includes memory configured to store information identifying one or more non-associated client devices that are not configured to communicate with the access point, and one or more processors, implemented in circuitry, coupled to the memory and configured to: determine that communication signals outputted from a non-associated client device to another access point or from the other access point to the non-associated client device are being received by the access point based on the stored information, determine an amount of in-network interference being generated by the communication signals based at least in part on the determination that the communication signals from the non-associated client device or from the other access point are being received by the access point, and output interference information based on the determined amount of in-network interference.

A processor-implemented sentry agent implemented at an access point or backend of a wireless network, such as a Wi-Fi LAN, detects jamming by gathering performance data associated with communications in the network, generating a plurality of metrics based on the performance data, and determining whether jamming exists based on the metrics, which may include two or more of a signal-to-noise ratio (SNR) metric, a packet error rate (PER) metric, a throughput metric, a latency metric, a jitter metric, a modulation and coding scheme (MCS) metric, a retransmission rate metric, a bit error rate (BER) metric, a connection stability metric, and a channel utilization metric. In some implementations, the sentry agent generates a jammer-detection variable for each metric based on (i) the metric itself and / or (ii) changes in the metric over time, generates a jammer-detection score based on the jammer-detection variables, and determines whether jamming exists based on the jammer-detection score.

The invention discloses an intelligent interference detection method based on a data enhancement dual-granularity diffusion model, and the method comprises the steps: obtaining a to-be-detected wireless interference signal, and carrying out the time-frequency conversion processing of the to-be-detected wireless interference signal, so as to obtain a corresponding time-frequency characteristic pattern; inputting the time-frequency characteristic graph of the wireless interference signal to be detected into a pre-trained dual-granularity condition guidance DCG model to obtain condition guidance information containing signal multi-scale characteristics; and inputting the condition guidance information into a pre-trained U-Net network to carry out reverse denoising sampling processing, and selecting a category corresponding to a maximum value from a plurality of obtained normalization processing results as a final detection result. According to the method, the technical problem that dirty data misleads model training due to scarcity of real interference samples and easy damage of a signal physical structure by a conventional enhancement means in an existing detection method based on a discriminant deep neural network and a reconstruction method based on a generative model can be solved.

This application provides an LTE-U wireless signal sensing method and related equipment. This application addresses wireless interference monitoring and spectrum management systems in the complex electromagnetic environment of rail transit, deeply integrating licensed and unlicensed spectrum, known and unknown protocols, real-time sensing and long-term optimization. It provides a systematic solution for highly reliable vehicle-to-ground communication, effectively overcoming the licensed spectrum bottleneck. While retaining 1.8GHz LTE-M as the high-reliability main control channel, it intelligently aggregates unlicensed spectrum such as 5.8GHz as a secondary data channel through LTE-U technology. Without changing the spectrum allocation policy, it effectively increases the system's available bandwidth several times. Through envelope analysis and spectrum sensing, it can identify clean sub-bands in the unlicensed frequency band, effectively avoiding interference and maximizing spectrum utilization.

The embodiment of the invention discloses a pairing method and device of a cleaning system and a storage medium, and the method comprises the steps that cleaning equipment reads an equipment identifier stored in the cleaning equipment in response to a pairing driving signal received through a communication serial port; the cleaning equipment responds to a base station access signal received through the communication serial port, the base station access signal represents that the base station is connected with the communication serial port through a data transmission line, and the equipment identifier of the cleaning equipment is sent to the base station through the communication serial port, so that the base station stores the equipment identifier of the cleaning equipment as the equipment identifier of the base station, and the equipment identifier of the cleaning equipment is sent to the base station. Determining that the cleaning equipment is paired with the base station under the condition that the equipment identifier of the cleaning equipment is consistent with the equipment identifier of the base station; the method can be carried out offline, is not influenced by wireless interference of a production environment, and can effectively improve the production efficiency and the product delivery quality.

The invention discloses a link adaptive transmission and wireless interference identification method and device, relates to the technical field of wireless communication, and aims to automatically match channel conditions and characteristics degraded by interference to carry out link adaptation. The method comprises the steps of determining current scheduling resource information of a user; determining a current MCS at least based on a first MCS adjustment amount corresponding to a modulation and coding strategy of the user and a second MCS adjustment amount corresponding to the current scheduling resource information; and transmitting data based on the current MCS. According to the invention, the second MCS adjustment amount corresponding to the current scheduling resource information is added for each user, and the second MCS adjustment amount can reflect the time-frequency domain characteristics of the interference, so that the link self-adaption can accurately adapt to the interference influence to adjust the user coding modulation mode, thereby improving the rate experience and stability of the user.

A processor-implemented sentinel agent implemented at an access point or backend of a wireless network, such as a Wi-Fi LAN, detects interference by collecting performance data associated with communications in the wireless network, generating a plurality of metrics based on the performance data, and determining whether interference exists based on the plurality of metrics, wherein the plurality of metrics includes two or more of a signal-to-noise ratio (SNR) metric, a packet error rate (PER) metric, a throughput metric, a delay metric, a jitter metric, a modulation and coding scheme (MCS) metric, a retransmission rate metric, a bit error rate (BER) metric, a connection stability metric, and a channel utilization metric. In some implementations, the sentinel agent generates an interferer detection variable for each metric based on (i) the metric itself and / or (ii) a variation in the metric over time; generating an interferer detection score based on the interferer detection variable; and determining whether interference exists based on the interferer detection score.

The present application relates to the technical field of electronic interference, and discloses an electronic attack method, an electronic device and an electronic attack system. The method comprises the following steps: obtaining an attack frequency spectrum waveform diagram, wherein the attack frequency spectrum waveform diagram is generated by a preset frequency spectrometer according to a radio frequency signal emitted by a device to be attacked; determining an attack frequency of the device to be attacked according to the attack frequency spectrum waveform diagram; and controlling a preset wireless interference device to emit a radio frequency signal to the device to be attacked according to the attack frequency of the device to be attacked. The embodiment can automatically determine the attack frequency without human intervention, so that the device to be attacked can be quickly and efficiently attacked electronically.

The invention belongs to the technical field of unmanned aerial vehicles, and discloses a tracking early warning method and system for realizing low-altitude unmanned aerial vehicle target warning countering. According to the method, an unmanned aerial vehicle target real-time video acquired by a low-illumination detection camera is preprocessed, the unmanned aerial vehicle target is detected through an improved YOLOv8 algorithm, the unmanned aerial vehicle target exceeding a set threshold value is tracked, and a tracking instruction is sent to a holder through a serial port protocol; the holder drives the tracking camera and the frequency spectrum and frequency band interference countering device to rotate to a target area in real time, and the current position of the holder is transmitted back in real time; and the tracking camera corrects the current position of the holder in real time, triggers the excitation sound warning indicator to give an alarm based on the corrected current position result of the holder, and counters the target by adopting wireless interference and blocking for the cross-border unmanned aerial vehicle. According to the invention, social resource, property and personal safety can be effectively guaranteed.

A wireless communication system includes at least a first wireless station and a second wireless station. The first wireless station receives reference signal configuration information indicating a configuration of a second wireless station transmitting reference signals. The first wireless station monitors for receipt of the reference signals as indicated by the reference signal configuration information. Based on receipt of a first reference signal as indicated by the reference signal configuration information, the first wireless station detects wireless interference at the first wireless station as caused by the second wireless station transmitting a respective wireless beam including the first reference signal. The respective wireless beam may be transmitted by the second wireless station to convey data to a mobile communication device.

A wireless communication system includes at least a first wireless station and a second wireless station. The first wireless station receives reference signal configuration information indicating a configuration of a second wireless station transmitting reference signals. The first wireless station monitors for receipt of the reference signals as indicated by the reference signal configuration information. Based on receipt of a first reference signal as indicated by the reference signal configuration information, the first wireless station detects wireless interference at the first wireless station as caused by the second wireless station transmitting a respective wireless beam including the first reference signal. The respective wireless beam may be transmitted by the second wireless station to convey data to a mobile communication device.

The invention belongs to the technical field of unmanned aerial vehicles, and discloses a tracking early warning method and system for realizing low-altitude unmanned aerial vehicle target warning countering. According to the method, an unmanned aerial vehicle target real-time video acquired by a low-illumination detection camera is preprocessed, the unmanned aerial vehicle target is detected through an improved YOLOv8 algorithm, the unmanned aerial vehicle target exceeding a set threshold value is tracked, and a tracking instruction is sent to a holder through a serial port protocol; the holder drives the tracking camera and the frequency spectrum and frequency band interference countering device to rotate to a target area in real time, and the current position of the holder is transmitted back in real time; and the tracking camera corrects the current position of the holder in real time, triggers the excitation sound warning indicator to give an alarm based on the corrected current position result of the holder, and counters the target by adopting wireless interference and blocking for the cross-border unmanned aerial vehicle. According to the invention, social resource, property and personal safety can be effectively guaranteed.

The invention relates to the technical field of magnetic resonance imaging equipment, in particular to a self-adaptive wireless anti-interference magnetic resonance body coil and a use method thereof. Through the shielding design of the wireless signal receiving and transmitting module and the signal processing unit, the problem of poor contact of a wired interface is eliminated, the signal interruption rate is reduced, the signal-to-noise ratio is improved, and clear imaging is ensured; the flexible silica gel base body and the cableless design avoid cable compression, and the skin-friendly non-woven fabric and the fillet structure are matched, so that the compression feeling of a patient is reduced, and the respiratory restriction occurrence rate is remarkably reduced. A wired connection assembly is removed, so that faults such as cable breakage and interface damage are reduced, the annual average maintenance cost is reduced, and the service life is prolonged; the wireless pairing and one-key starting design simplifies the operation process and improves the efficiency.