1560 results about "Communication channel" patented technology

The invention relates to the technical field of the Internet of Things, in particular to an intelligent device communication method and system based on the Internet of Things. The method comprises the following steps: acquiring spectrum occupation data, electromagnetic interference mode data and terminal equipment energy state data of a plurality of communication channels in an industrial environment through a preset distributed spectrum sensing network; performing adaptive spectrum analysis processing on the spectrum occupancy data and the electromagnetic interference mode data to obtain channel quality evaluation data including interference source characteristics and channel attenuation characteristics; and according to the channel quality evaluation data and a pre-acquired historical channel performance memory bank, performing priority ranking on the available communication channels to obtain dynamic channel priority data based on time continuity. The spectrum resource allocation condition in the industrial environment is monitored in real time through the distributed spectrum sensing network, the current interference can be identified, and the interference can be pre-judged through an advanced prediction model.

A computer-implemented method for operating an artificial intelligence voice agent system includes receiving voice input through communication channels; analyzing converted text through natural language processing (NLP) pipelines implementing intent recognition and sentiment analysis detecting emotional cues using a multimodal large language model (LLM); generating response content using machine learning models trained on domain-specific corpora; converting generated responses to synthetic speech through text-to-speech (TTS) engines; integrating with a customer relationship management (CRM) platforms or an enterprise resource planning (ERP) database; and implementing continuous learning by updating language understanding models using conversation logs, voice recognition parameters based on user feedback, and response generation patterns. One implementation is a computer-implemented system and method that operates a suite of intelligent interactive devices and platforms including an artificial intelligence voice agent, enhanced communication platforms, an intimacy companion system, and augmented / virtual reality eyeglasses. Further, one implementation includes AR / VR eyeglasses that project visual content onto interchangeable lenses or directly onto the user's retina via laser-based retinal projection, provide prescription adjustments, incorporate ear-mounted sensors for monitoring physiological parameters like heart rate, oxygen saturation, and blood pressure, and utilize wireless data transmission, onboard environmental sensing, and remote calibration, all designed to offer dynamically adaptive, secure, and context-aware interactions across communication, personal assistance, health monitoring, and immersive augmented or virtual reality environments.

Methods and systems for managing operations of a data processing system are disclosed. To manage operations of the data processing system, a management controller of the data processing system may obtain validated location data for the data processing system via an out-of-band communication channel. The management controller may identify applicable policies based on the validated location data. If the management controller identifies a policy applicable to a geographical location of the data processing system, then the management controller may perform an action set to manage operation of the data processing system based on instructions associated with the applicable policy. The updated operation of the data processing system may increase the security of sensitive data managed by the data processing system.

Systems, methods, and computer program products are disclosed for establishing nonvocalized communications. Establishing nonvocalized communications may include detecting a directional gesture made by a wearer of a first wearable device configured to determine facial skin micromovements of the wearer, wherein the directional gesture identifies a second device in proximity to the first wearable device. Based on the directional gesture, a wireless communication channel for enabling a nonvocalized communication between the first wearable device and the second device is selected. Thereafter, specific facial skin micromovements of the wearer of the first wearable device are determined. The specific facial skin micromovements indicate words to be communicated in an absence of perceptible vocalization by the wearer of the first wearable device. Then, the words are transmitted via the wireless communication channel from the first wearable device to the second device for presentation via the second device.

Methods and systems for managing operations of data processing system are disclosed. To manage operations of the data processing system, a management controller of the data processing system may obtain and provide validated location data in the form of a location report for the data processing system to an external device via an out-of-band communication channel. The validated location data may be used to verify whether the data processing system is following expected geographical routes. By identifying any inconsistencies between the validated location data and expected geographical locations, the likelihood of identifying potential unauthorized modifications or other forms of compromise of the data processing system may be increased.

Methods and systems for managing a data processing system are disclosed. To manage the data processing system, a management controller of the data processing system may obtain location data for the data processing system via an out-of-band communication channel. The location data for the data processing system may include different types of location data obtained via different location generation sources. The management controller may identify whether the different types of location data are consistently reporting location status of the data processing system. If the location data is determined to be consistent, then the management controller may provide a location report based on the location data using the out-of-band communication channel to a server to update a location status of the data processing system.

The invention discloses an electricity consumption information acquisition terminal concurrent meter reading method, device and equipment and a storage medium, and relates to the field of electricity consumption information acquisition. The method comprises the following steps: acquiring a communication routing path and a communication routing hop count from an acquisition terminal to each to-be-acquired electric energy meter in an electric energy meter network topology structure; according to the communication routing path and the hop count of each to-be-collected electric energy meter, the to-be-collected electric energy meters are classified to obtain N concurrent meter reading task groups, and N is larger than or equal to 2; communication routing paths among the to-be-collected electric energy meters in each concurrent meter reading task group are not intersected and communication routing hops are different; and performing concurrent meter reading on the to-be-acquired electric energy meter according to the concurrent meter reading task group to acquire the electricity utilization information. According to the invention, the problems of overweight communication network load and frequent conflicts caused by mutual interference between a downlink reading instruction and an uplink response instruction due to communication channel overlapping and routing conflicts when an existing power utilization information acquisition terminal executes a multi-meter simultaneous reading task are solved.

The invention provides an OTFS radar communication integrated signal processing method and system based on time-frequency-space domain joint optimization. According to the method, pilot symbol positions and densities are configured in an OTFS time-frequency grid according to channel time-varying characteristics and bandwidths, and a Doppler index range is set to optimize channel information acquisition; deploying a controllable reflecting surface, constructing a phase modulation matrix based on a target position and communication channel parameters, dynamically adjusting a phase gradient direction, and separating energy of a target echo and a communication signal; within a set Doppler index range, calculating frequency offset estimation, correcting a time domain sampling point of a received signal, and generating a phase correction vector; and positioning a spatial aliasing main interference area, and inhibiting symbol interference and spatial aliasing caused by a high-speed target through frequency domain beam forming weighting and phase rotation compensation in combination with a phase correction vector and a sub-Doppler parameter in the area. According to the invention, time-frequency-space domain cooperative efficient processing of OTFS radar communication integrated signals is realized.

The invention discloses a dynamic privacy protection closed-loop control method and system for mobile edge crowd sensing. According to the method, information related to a communication channel and data content is obtained through risk perception, and a multi-dimensional comprehensive privacy risk score is calculated; then, dynamically determining a value of a differential privacy budget epsilon according to the risk score by utilizing a reinforcement learning algorithm in a strategy decision-making stage; then, performing noise addition disturbance on crowd sensing data according to the epsilon in a privacy protection execution stage so as to realize a preset privacy protection level; then, the privacy leakage risk and the data validity of the disturbed data are evaluated in the effect verification stage, and an evaluation result is obtained; and finally, privacy control strategy parameters are adjusted according to an evaluation result in a feedback optimization stage, and feedback is applied to a risk perception and decision process of a next cycle, so that closed-loop control is formed, and a privacy protection effect is continuously optimized. According to the method, the user data privacy security can be improved, and the data availability and the energy consumption efficiency are both considered.

A method performed by a computer-implemented controller is provided. The method includes receiving a request for managing one or more user equipments (UEs); obtaining a user-specific security profile from a first service provider; obtaining a subscriber identity module (SIM) profile from a network node or a second service provider; obtaining a set of secure access service edge (SASE) instances from the network node; building one or more UE-specific bootstrap configurations based on the user-specific security profile, the SIM profile, and the set of SASE instances; and sending the one or more UE-specific bootstrap configurations to a third service provider. The one or more UE-specific bootstrap configurations are obtainable by the one or more UEs to establish a secured wireless communication channel through a zero-trusted network.

The present technology relates to fault-managed power (FMP), and particularly, to generating FMP in an industrial automation environment using single-pair Ethernet (SPE) cabling for use by DC motors. An FMP system may include transmitter circuitry and receiver circuits coupled together via a transmission link formed using SPE cable. The transmitter circuitry can generate a FMP and transmit a pulsed signal having the FMP to the receiver circuits. The transmitter circuitry can also exchange data signals with the receiver circuits over a communication channel using the SPE cable. The receiver circuits can identify an expected power consumption of DC motors coupled to the receiver circuits and provide an indication of the expected power consumption to the transmitter circuitry. The transmitter circuitry can detect a fault based on a comparison between the transmitted FMP and the power consumption and terminate transmission of the FMP in response to detecting the fault.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a first network node may obtain a data channel establishment request comprising session description protocol (SDP) information corresponding to a multimedia call session between a first user equipment (UE) and a second UE, the SDP information including a data channel application identifier corresponding to a data channel application. The first network node may provide, to a second network node, a data channel service request that indicates the data channel application identifier. The first network node may obtain, from the second network node, a service response comprising a data channel control policy associated with the data channel application identifier and may allocate, based at least in part on the data channel control policy, media resources corresponding to at least one application data channel. Numerous other aspects are described.

The invention discloses a multi-beam satellite system transmission optimization method and device fused with image semantic compression, and the method comprises the steps: constructing a multi-beam satellite system model fused with image semantic compression, determining an area irradiated by a multi-beam satellite beam according to a beam hopping mechanism through a multi-beam model, and determining a GPU resource allocation scheme and a power resource allocation scheme; a satellite communication channel state is sensed through a semantic communication model based on a SwinJSCC architecture so as to adjust a compression ratio of image semantic information, and multi-dimensional optimization of image data transmission performance is realized; a multi-agent is constructed based on a multi-beam satellite system model and a semantic communication model, the agent corresponds to a beam hopping mechanism, a GPU resource allocation scheme and a power resource allocation scheme in the multi-beam satellite system model, and the agent learns and optimizes a decision strategy under a multi-agent architecture. Therefore, the resource scheduling in the dynamic hopping beam scene is matched with the service demand.

The present invention relates to the technical field of energy meter electrical parameter measurement. Disclosed is an intelligent anti-interference system for a power line carrier energy meter. The system comprises: collecting voltage and current signals of a power line, and constructing a sample database; performing time-frequency feature classification by means of a preset model, and establishing feature and scenario mapping by synchronizing scenario recognition results; building a scenario interference recognition network on the basis of the mapping result; collecting real-time data of N communication channels of a power line carrier energy meter, and performing channel coordination decision and anti-interference enhancement; performing communication data evaluation on the basis of a comprehensive scoring function; and performing anti-interference management on the basis of channel access decision, anti-interference enhancement, and a parallel access result. The present invention solves the technical problem of poor accuracy and reliability of metering data of existing power line carrier energy meters caused by interference signals and noise when the power line carrier energy meters are in complex electromagnetic environments, and achieves the technical effect of improving the anti-interference capability and the reliability of the power line carrier energy meters.

Described herein is an apparatus and method for evaluating software performance. An apparatus may include at least a processor; and a memory communicatively connected to the at least processor, wherein the memory contains instructions configuring the at least processor to receive a software package; identify a safety standard; select an operating environment as a function of the safety standard; deploy the software package on the operating environment; operate a communication channel between a user device and the operating environment, wherein operating the communication channel comprises determining a performance metric for the software package; and displaying, at a display device having a user interface, the performance metric to a user through the user interface.

The disclosure relates to a 5G or 6G communication system supporting a higher data transmission rate. A method includes: determining a plurality of physical characteristics associated with the UE for at least one of an indoor and / or outdoor environment; configuring a measurement process for at least one wireless communication channel based on the plurality of determined physical characteristics; generating a CSI feedback based on the configured measurement process and a characteristic of the at least one wireless communication channel; applying the generated CSI feedback to perform model inference with potential adjustments of one or more wireless communication parameters; determining the CQI based on the generated CSI feedback and the configured measurement process; and applying the potential adjustments of the one or more wireless communication parameters of the UE to enhance the performance of the UE 100, based on the determined CQI and the plurality of determined physical characteristics.

The invention discloses a transmission resource allocation method, system and device for a wireless body area network, and a storage medium, and the key points of the technical scheme are as follows: selecting a communication channel; communication connection with the sensor nodes is established through the communication channels, node states reported by the sensor nodes are received, and the node states comprise data types, emergency degrees, buffer area states and data demand quantities; calculating the comprehensive priority of each sensor node according to the data type, the emergency degree and the buffer area state; according to the comprehensive priority and the data demand quantity of each sensor node, calculating to obtain the time slot quantity of each sensor node; and determining a time slot allocation parameter of each sensor node according to the number of the time slots, and adjusting the transmitting power of the to-be-adjusted sensor node according to the energy consumption state of the to-be-adjusted sensor node. Transmission resources can be dynamically allocated, and the resource utilization rate and the network stability are improved.

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive control signaling indicating a configuration for the UE to perform a machine learning-based inference (e.g., based on a machine learning model) for predicting a characteristic of at least one resource, at least one communication beam, or at least one communication channel. The characteristic may be associated with a spatial domain, a time domain, a frequency domain, or any combination thereof. In accordance with the configuration, the UE may perform the machine learning-based inference for the characteristic. The UE may also perform a measurement of the characteristic (e.g., an actual measurement). The UE may also transmit, in accordance with a triggering condition, an indication of a difference between the machine learning-based inference and the measurement of the characteristic.

The subject matter described herein relates to various antenna element configurations, antenna array configurations, their operations including various systems and methods to generate modulated data for transmission by an RF antenna array via an optical processing engine. The subject matter includes optical processing engine structure and methods (e.g., modulating in the optical domain, MIMO and spatial modulation via RF beam formation, coherent transmission of RF signal components, coherent operation of spatially separate RF antenna arrays) that may be implemented with the various RF antenna array structures. In some examples, the system combines the virtues of digital, analog and optical processing to arrive at a solution for scalable, non-blocking, simultaneous transmission to multiple UE-s. Much of the system architecture is independent of the RF carrier frequency, and different frequency bands can be accessed easily and rapidly by tuning the optical source (TOPS). In some examples, multiple communication channels may be transmitted simultaneously to different locations. The transmitter may be formed by an array of optically fed antennas.

The invention discloses an anti-attack interleaving method and device for communication information. The method comprises the following steps: acquiring an information sequence to be transmitted; performing statistical analysis processing on the to-be-transmitted information sequence to obtain a statistical information set; carrying out detection modeling processing on the communication channel of the information sequence to be transmitted to obtain channel dimension information; and performing interleaving parameter calculation processing on the statistical information set and the channel dimension information to obtain an interleaving parameter information set. According to the invention, the problems of anti-interference effect and influence on the security of the communication system caused by fixed parameters of the interleaving method in the current communication system are solved.

The invention relates to the field of communication, and discloses a frequency band switching method and device, terminal equipment and a storage medium. The method comprises the following steps: acquiring link performance data of each frequency band in a network environment in which the communication equipment is currently located, so as to predict link transmission quality of each frequency band in a future time period, and determining candidate frequency bands; monitoring and balancing channel loads on a plurality of communication channels in each physical link in each candidate frequency band; and obtaining spectrum data of each candidate frequency band to analyze a signal intensity distribution condition of each candidate frequency band, further determining an interference signal and an interference degree existing in each candidate frequency band, screening out an optimal frequency band from each candidate frequency band, and switching the communication equipment to the optimal frequency band. Through link performance prediction, the optimal frequency band is actively switched after active prediction, switching is prevented from being triggered after link quality deterioration, dynamic and intelligent frequency band switching is achieved, and communication reliability and user experience can be remarkably improved.

The invention belongs to the technical field of network security, and relates to a terminal security access control method and device, computer equipment and a storage medium, the method comprises the following steps: deploying an infrastructure for terminal security access, the infrastructure comprising a client, a security system and a server component; the method comprises the following steps: performing initial registration on terminal equipment, and realizing unique binding of a terminal identity and loading of a basic security policy by acquiring an equipment fingerprint, issuing a certificate and configuring a policy; the user identity and the equipment credibility are verified in real time through a multi-factor dynamic authentication mechanism; through signature verification and encrypted transmission, application and network communication authentication is carried out, and application legality, communication channel security and operation environment credibility are ensured; and after the authentication is passed, trusted connection is established, fine-grained authorization is implemented, and security isolation of a service layer is realized through dynamic token and API management and control. The problems that in existing terminal access control, the authentication dimension is single, the authorization granularity is rough, and dynamic management and control are lacked are effectively solved.

The invention discloses a real-time data stream processing method for multi-device collaborative management of a dome cinema, which relates to the technical field of cinema device data management, and comprises the following steps of: establishing communication connection between a central management node and a plurality of playing devices, collecting device identifiers, projection area numbers and geometric position parameters of the playing devices, and establishing a central management node; generating an equipment mapping relation table; realizing local clock correction of the playing equipment based on a unified time synchronization protocol; the central management node generates a control instruction stream according to the equipment mapping relation and the playing content, the instruction stream comprises space frame distribution information and fusion control parameters, and the space frame distribution information and the fusion control parameters are distributed to the playing equipment through communication channel numbers; and the playing device completes image geometric transformation and edge fusion processing according to the received control instruction and then executes synchronous playing. According to the invention, multi-device automatic mapping is realized, the time synchronization precision is improved, the image playing is coordinated and consistent, and the collaborative display capability and the playing stability of the dome cinema are improved.

An electronic train device suitable of use on a railway vehicle includes a radio module configured, through operation of at least one processor, to support and monitor a plurality of communication channels for messages transmitted between multiple electronic train devices on multiple railway vehicles, and to repeat and / or route a transmitted message using a channel of the plurality of communication channels to provide reliable communication between the multiple electronic train devices.

The invention provides an unmanned aerial vehicle cluster intelligent opportunistic routing method based on multi-agent deep reinforcement learning, and aims to optimize a data transmission path in an unmanned aerial vehicle cluster and improve communication efficiency. The method comprises the following steps: firstly, establishing a communication channel model and a motion model of an unmanned aerial vehicle cluster, and constructing a distributed partial observation Markov decision process model; based on the model, a multi-agent near-end strategy optimization reinforcement learning algorithm is adopted to carry out routing decision training, and after training is completed, a collaborative strategy of the agents is loaded into an airborne computer of the unmanned aerial vehicle, so that intelligent opportunistic routing is realized. In the training process, the unmanned aerial vehicle selects a proper next-hop node to optimize data forwarding by continuously collecting neighbor information and making a local decision. Through the method, the unmanned aerial vehicle cluster can dynamically adapt to a complex environment, and the end-to-end transmission efficiency of a network and the successful transmission rate of data packets are remarkably improved.

The invention discloses an electric pump control method and system based on instruction perception, and relates to the technical field of electric pump control, comprising: starting a voice recognition module, a wireless communication module and a sensor acquisition module, and establishing a bidirectional communication link with a remote controller; an AI-driven noise reduction algorithm is adopted to pre-process the environment audio collected by the microphone array, and an improved hidden Markov model is utilized to perform keyword recognition on the pre-processed audio to obtain a voice instruction signal; the remote controller sends a control instruction to a receiving end, analyzes the instruction content, records the current communication channel quality, dynamically adjusts the transmitting power, the frequency hopping strategy or the coding mode according to the channel quality, and ensures stable communication between the remote controller and the electric pump; and the main control unit simultaneously receives a voice command signal and a remote controller command signal, sets a command priority rule in combination with data acquired by the sensor, and executes corresponding operation according to the priority.

A communication system includes a first communication cable coupled with a first peer node of a data network, a first wireless host device including a first wireless interface and a second wireless interface, a first adapter coupled between the first wireless host device and an end point of the first communication cable, a second communication cable coupled with a second peer node of the data network, and a second wireless host device including a third wireless interface and a fourth wireless interface. The third wireless interface is configured to communicate with the first wireless interface via a first wireless communication channel, and the fourth wireless interface is configured to communicate with the second wireless interface via a second wireless communication channel. A second adapter is coupled between the second wireless host device and the second communication cable.

An apparatus may include a receiver configured to receive a reference signal using a channel, a transmitter configured to transmit a representation relating to the channel, and a processing circuit configured to determine channel information based on the reference signal, generate, using a model, the representation based on the channel information, and transfer, using the receiver or the transmitter, model information to specify the model. The model information may include an identifier for the model. The model information may include structure information for the model. The model information may include information about a type of input for the model. The model information may include information about a format of input for the model. The model information may include mapping information for mapping channel information to an input of the model. The mapping information may include information for a first subband, and information for a second subband.

In some aspects, a cloud-based computer system includes: a quantum computing system comprising a quantum processing unit; a container management and execution system configured to receive a container and execute a program within the container; and a communication channel between the container management and execution system and the quantum computing system for providing program instructions to the quantum computing system. The container management and execution system and the quantum computer system may be co-located in a data center or located in different data centers. The latency of the communication channel may be selected to optimize cost for a required computer performance.

Techniques are disclosed for sending downloadable software packages that may be executed to perform tests of a network device without requiring the network device to update firmware. In one example, the network device obtains a software package comprising instructions for simulating a network instance and stores the software package in a volatile memory of the network device. The network device simulates, based on the instructions, the network instance to obtain data indicative of a performance of the network instance. The network device sends, via a communication channel established with a network management system (NMS) based on the software package, the data indicative of the performance of the network instance. In some examples, the NMS uses the data indicative of the performance of the network instance to identify a root cause of a failure of the network device or a remedial action to be performed upon the network device.