193 results about "Bandwidth requirement" patented technology

The invention provides a dynamic wavelength allocation method based on DCI wavelength division II type equipment. The method comprises the following steps: acquiring an occupation state and a transmission quality index of each wavelength channel of a current network; establishing a wavelength channel quality evaluation model, and scoring each wavelength channel according to the transmission quality index of each wavelength channel of the network; according to the bandwidth requirement, the priority and the QoS requirement of the service request, generating a traffic characteristic matrix containing the delay sensitivity and the bandwidth requirement through a traffic prediction algorithm; based on a network state and the traffic characteristic matrix, through resource availability calculation and path quality evaluation, forming an allocable wavelength resource pool and a quality score thereof; for the allocatable wavelength resource pool, generating an optimal wavelength allocation scheme by adopting an improved heuristic algorithm and comprehensively considering the resource utilization rate, the signal quality and the service priority; and according to the performance feedback of the optimal wavelength allocation result and the network state change, continuous optimization of wavelength allocation is realized through a self-adaptive adjustment mechanism. The method can effectively deal with the dynamic flow change in the DCI network, improve the resource utilization rate, ensure the signal quality and meet the QoS requirement of the service, thereby providing an efficient and reliable wavelength allocation solution for the data center interconnection network.

The invention discloses an unmanned aerial vehicle cluster cross-layer cooperative routing method based on TDMA, is applied to the field of wireless communication network resource scheduling and unmanned aerial vehicle autonomous networking cooperative control, and aims to solve the problem that the overall resource utilization rate of a system is low due to hierarchical design of a routing strategy and an MAC layer channel access control strategy in an existing TDMA network. The method comprises a dynamic collaborative framework based on routing and time slot allocation and a time slot state sensing routing algorithm based on deep reinforcement learning, the framework provides real-time time slot resource allocation state input for the algorithm, the algorithm outputs an optimal path meeting the bandwidth requirement for the framework, the problem of resource mismatching of a traditional layered framework is effectively avoided, and the routing efficiency is improved. And finally, collaborative optimization of the service bandwidth achievement rate and the network resource utilization efficiency in a high-load scene is achieved.

According to the automatic driving data transmission scheduling method and device, the equipment and the readable storage medium, dynamic priority weights are generated in a mode of combining reinforcement learning and a rule engine, and bandwidth demand changes, historical transmission performance and queue occupation states of all sensors can be adapted in real time; the problem that a low-priority sensor cannot acquire the bandwidth at a high load is effectively avoided, and meanwhile, efficient utilization of bandwidth resources can be realized through dynamic weight adjustment when a high-priority sensor is idle, so that the bandwidth utilization rate in a vehicle-mounted multi-sensor data transmission process is remarkably improved; the real-time performance and reliability of data transmission required by automatic driving decision making are guaranteed, and then the overall performance of an automatic driving system is improved.

The invention discloses a communication network bandwidth control method, and particularly relates to the technical field of network bandwidth control. Flow monitoring equipment is arranged in a communication network, flow is monitored in real time, flow data of different users and applications are collected, and on the basis of historical flow data and a real-time change trend, a burst flow prediction model is constructed, and flow peak fluctuation and sudden increase characteristics are analyzed, so that the real-time response capability of a bandwidth allocation strategy is evaluated in advance, and the real-time response capability of the bandwidth allocation strategy is evaluated in advance. When the response capability is insufficient, bandwidth allocation is dynamically adjusted according to a priority strategy, bandwidth requirements of high-transmission-priority applications are preferentially guaranteed, bandwidth occupation of low-priority applications is limited so as to ensure the continuity of key services, and after bandwidth adjustment, the allocation strategy is further refined through real-time flow feedback, so that the bandwidth allocation efficiency is improved. The efficient utilization of resources and the stability of network service quality are guaranteed, so that the problem of bandwidth allocation lag in emergencies is solved, and flexible resource optimization management is realized.

The invention discloses a video transmission and grading early warning method based on 5G and Wi-Fi hybrid networking, and relates to the technical field of network transmission and safety monitoring, and the method comprises the steps: firstly deploying fusion anchor points containing three types of core hardware modules, and determining the number of the fusion anchor points; extracting service time delay and bandwidth demand grades in an XR scene, establishing a QoS parameter mapping relation between 5G and Wi-Fi, and reading key parameters through a fusion anchor point to dynamically allocate bandwidths; based on the parameter matrix and the weight matrix, determining a sampling interval and marking a sampling frame; and finally, evaluating a sampling frame threat parameter and executing hierarchical response. According to the invention, while the collaboration of hybrid networking is improved, the accuracy of threat assessment is improved, and the continuity and security of video transmission in an XR scene are ensured.

The invention relates to the technical field of space flight and aviation, in particular to a low-delay communication control system and method for an analog machine in a fixed flight training course. The control system comprises a multi-source sensor fusion module, a data simplification processing module, a dynamic time delay optimization communication framework, a distributed intelligent decision-making terminal, a virtual-real mapping synchronous controller, a milli delay regulation and control module and an intelligent sensing alarm interaction module. According to the invention, 4G, 5G and satellite double links are integrated, an optimal link is dynamically selected by adopting a Q-Learning algorithm, millisecond-level time delay control is realized, transmission reliability is improved through a packet loss rate compensation algorithm, multi-sensor data is fused based on an FPGA hardware accelerator and an EKF algorithm, and a data compression ratio is improved in combination with Huffman coding and Kalman filtering. The bandwidth requirement is greatly reduced, through software and hardware collaborative optimization, the end-to-end time delay is reduced to be within hundreds of milliseconds, the virtual-real synchronization precision is improved to the centimeter level, and the decision response speed is improved by two times.

The invention discloses a centralized phased array beam control method and system based on an FPGA, and relates to the technical field of phased array beam control, and the method comprises the steps: carrying out the real-time iterative operation through an incremental adaptive correction kernel in a centralized control FPGA, and obtaining an amplitude-phase correction increment and a corresponding target effective frame number; performing increment differential coding on the amplitude-phase correction increment and the corresponding target effective frame number in a centralized control FPGA (Field Programmable Gate Array) to generate an increment differential beam control message; sending the increment difference beam control message to an array element FPGA (Field Programmable Gate Array) at the front end of an array, executing frame-level atom switching according to a target effective frame number, and fusing the amplitude-phase correction increment and a locally stored old beam control weight in the switching process to obtain a final array element beam control weight; generating a real-time beam control directional diagram based on the final array element beam control weight; the stability and convergence precision of beam control are improved, and the bandwidth requirement of a control link is reduced.

The invention relates to an intelligent ship network optimization method, system and device based on multi-link convergence and a medium. The method comprises the following steps: firstly, acquiring multi-network link connection parameters of the intelligent ship, constructing an adaptive environment, modifying a protocol stack, and integrating a physical link into a virtual link to realize resource convergence; and based on the real-time parameters of the virtual link and the physical link, dynamically distributing traffic by adopting an improved aggregation protocol, and generating a load balancing scheme. And then, regularly sending a detection packet quality index, and predicting a link quality trend in combination with historical data and navigation longitude and latitude. And finally, dynamically adjusting flow distribution according to a prediction result, an application real-time demand, a bandwidth demand and a current position tariff characteristic, and generating a ship-shore communication scheme considering both efficiency and cost. By adopting the method, the stability, reliability and economy of ship-shore communication of the intelligent ship can be effectively enhanced, and the method is suitable for multi-scene network monitoring optimization.

The invention discloses a communication method and electronic equipment, and relates to the technical field of communication, and the method adopts a two-stage QoS control strategy, and combines a bottom layer hierarchical token bucket algorithm with a top layer deficit polling algorithm. And the bottom layer QoS adopts a hierarchical token bucket to realize bandwidth allocation and traffic shaping based on traffic categories. The top layer distributes bandwidth resources by adopting deficit polling on the basis of functions, so that the problem that the waiting time of data packets in transmission queues of other functions is too long due to the fact that large data packet transmission of a certain function occupies more bandwidth in function scheduling can be solved. According to the method, end-to-end QoS guarantee can be realized, and bandwidth requirements of different traffic categories and functions are considered, so that under the scene of cross-domain sharing of PCIe equipment, the hardware resource utilization rate is maximized, fine bandwidth allocation and traffic control are performed, efficient transmission and scheduling are ensured, and bandwidth fluctuation caused by burst cross-domain access is smoothly processed.

The invention discloses a multi-frequency-band signal fusion microwave photon radar system and an implementation method thereof, and relates to the technical field of optical signal processing, and the system comprises a multi-frequency-band signal transmitting module which is used for generating a multi-frequency-band bandwidth radar signal; the m microwave photon dechirp receiving modules are used for receiving echo signals of three or more multi-band bandwidth radar signals in an optical domain; the multi-frequency-band signal fusion processing module is used for carrying out interpolation and filling of spectrum gaps on missing frequency bands among multiple frequency bands through a coherent fusion technology so as to realize fusion splicing of multi-frequency-band signals; m is the number of multi-band channels; according to the method, the broadband characteristic of the photon technology can be fully utilized, and the distance resolution of target detection is effectively improved under the condition that the bandwidth requirement of the radar waveform electrical generator is not increased through fusion processing of multi-band bandwidth radar signals.

The invention discloses a multi-service isolation method, system and device based on optical fiber communication and a medium, and relates to the technical field of data processing, and the method comprises the steps: obtaining the priority and bandwidth requirements corresponding to each service, and obtaining the distribution channel wavelength corresponding to each service according to the priority and bandwidth requirements corresponding to each service; obtaining a single time slot bearing capability, and obtaining a distribution isolation time slot corresponding to each service according to the distribution channel wavelength corresponding to each service and the single time slot bearing capability; obtaining the isolation degree between the services according to the distribution channel wavelength and the distribution isolation time slot corresponding to each service; and comparing the isolation degree with a preset isolation threshold value, and if the isolation degree is smaller than the preset isolation threshold value, correcting the allocated channel wavelength and the allocated isolation time slot of the two services corresponding to the isolation degree according to the isolation degree and the preset isolation threshold value, and generating a target channel wavelength and a target isolation time slot. The system has the advantages of collaborative distribution, bidirectional adjustment and accurate isolation.

Devices, systems, methods, and processes for establishing peer-to-peer (P2P) networks over Wi-Fi extended spectrum. P2P networks often encounter challenges in meeting their bandwidth requirements, resulting in degraded performance, slower data transfer rates, or even connectivity issues. Therefore, by delegating frequency channels in the Wi-Fi extended spectrum for establishing P2P networks, at least some challenges faced by the P2P networks can be overcome. Access points (APs) in automated frequency coordination (AFC) infrastructure may coordinate with network devices intending to establish P2P connections and may allocate unused or underutilized channels in the Wi-Fi extended spectrum to these network devices for establishing the P2P connections. The APs may set usage conditions on the allocated channels which the network devices and the APs monitor once the P2P connections are established. The APs may further monitor network traffic on the allocated channels and allow concurrent P2P connections on the same channel to improve channel utilization.

The invention discloses a self-reference three-phase polarization imaging system and method based on an integrated photon neural network, and the method comprises the steps: setting a fixed phase difference in a silicon-based photon chip to achieve three-phase projection and single-port reading, outputting a three-phase interference signal at the same time, obtaining all phase and polarization information in one-time imaging to achieve full-polarization measurement, and carrying out the single-port reading of the silicon-based photon chip; according to the invention, the effective resolution ratio is consistent with that of an original detection array, power and temperature drift is eliminated, single-frame acquisition has no time sequence error and motion artifact, a stable and compact single-port self-reference reading mode is realized through a three-phase interference measurement architecture constructed on a chip in combination with channel normalization and rotation correction, and complete Stokes parameters and polarization information can be measured. According to the system provided by the invention, the MZI is adopted, so that the phase bias can be flexibly adjusted, and different bandwidth requirements can be met by adjusting an interference path. The silicon-based photon platform has a broadband response characteristic and can cover a visible wave band, so that the device can keep stable interference performance in a communication wave band.

The invention relates to the technical field of video processing, and provides a diffusion model-based video super-resolution reconstruction method for an unmanned aerial vehicle in order to avoid the problems of optical flow alignment errors and limited computing power of the unmanned aerial vehicle, comprising video compression and fuzzy degradation modeling and video diffusion converter model construction. Carrying out iterative optimization and observation consistency correction; and reducing the potential representation after iterative optimization into a high-resolution video frame through a decoder to complete super-resolution reconstruction. And meanwhile, the bandwidth requirement is reduced, and the weak network adaptability is better. Due to the adoption of the technical scheme, accurate reconstruction of a high-resolution video is realized in a low-dimensional potential space. Therefore, the problem of edge artifacts caused by motion estimation errors in a traditional method is thoroughly solved, and the definition and the natural sense of a reconstructed video are remarkably improved.

A method for content delivery to a user device, that helps to reduce bandwidth requirements and increases security of the content. The method includes receiving a download request from the user device, the download request including request data corresponding to characteristics of the user device, analyzing the request data to select a bootstrap module; transmitting the bootstrap module to the user device for download; analyzing an authentication characteristic to determine that the user device is authenticated for content viewing; transmitting a content catalogue to the user device; and upon receiving a user selection of a content item from the content catalogue, transmitting the user selected content item to the user device.

Disclosed in the embodiments of the present application are a bandwidth scheduling method, an electronic device and a computer-readable storage medium. The method comprises: dividing a target frame into multiple subframes on the basis of a preset bandwidth requirement, wherein each subframe corresponds to a subframe configuration table and a high-priority entry configuration table; on the basis of information collected from an optical network, calculating an allocable bandwidth for the target frame; on the basis of a high-priority entry configuration table and a subframe configuration table of a target subframe among the subframes, and the allocable bandwidth, determining bandwidth entry priorities of the target subframe; on the basis of the bandwidth entry priorities of the target subframe, sequentially transferring bandwidth entries of the target subframe to a preset bandwidth mapping table; and when the target subframe is the last subframe of the target frame, transmitting to an optical network unit all bandwidth entries of the target frame that are stored in the bandwidth mapping table.

The embodiment of the invention relates to a data processing method and device, equipment, a medium and a program product. The method includes obtaining first media content at a client, the first media content corresponding to a first modality of a plurality of modalities for a multi-modality model. The method further includes generating a first content feature for the first media content based on a first portion of the multi-modal model deployed at the client. The method further includes sending the first content feature to the server to process the first content feature and a second content feature of second media content corresponding to a second modality of the plurality of modalities using a second portion of the multi-modality model deployed on the server. The method further includes receiving, from the server, processing results for the first media content and the second media content output by the multi-modal model. Through the method, the multi-modal model is deployed on the client and the server in a mixed manner, so that the time delay is reduced, the bandwidth requirement of the service is reduced, and the calculation cost of the server is reduced.

The invention discloses a satellite communication data processing method and system for an electric power inspection unmanned aerial vehicle, and relates to the technical field of communication data transmission, and the method comprises the following steps: carrying out the preprocessing of communication data; performing queue sorting on the pre-processed communication data, and sending the pre-processed communication data; and restoring the received communication data. According to the method, the electric power inspection unmanned aerial vehicle data is classified, the transmission priorities and the sending time limits of various types of data are determined, classified and graded transmission of the data is achieved, the satellite communication data transmission amount can be effectively reduced for the conditions that the number of bytes of a data packet is large and the data content change is not large, and the satellite bandwidth requirement is lowered; according to the method, satellite communication charges are saved, efficient utilization of satellite bandwidth resources is achieved, sending queue sorting is conducted through priority and sending time limit comprehensive judgment, the data sending sequence can be reasonably arranged, preferential transmission of emergency data is guaranteed, and orderliness of data transmission is improved.

The embodiment of the invention provides a method, a device and equipment for determining a data flow of a system on a carrier rocket. The method comprises the following steps: acquiring operation data and working condition data of the carrier rocket; determining a task stage of the carrier rocket according to the operation data and the working condition data; according to the task stage, determining a data stream of a system on the carrier rocket, the data stream comprising at least one of transmission path planning, bandwidth allocation and priority adjustment; acquiring communication state data of the carrier rocket; according to the communication state data, adjusting a data flow of a system on the carrier rocket to obtain a target data flow; and outputting the target data stream. According to the embodiment of the invention, bandwidth requirements of different stages can be matched in real time, bandwidth waste or insufficiency caused by fixed allocation is avoided, and the problem of poor dynamic change adaptability of the task stage is solved.

A method for compressing Sounding Reference Signal (SRS) channel information in massive MIMO systems is disclosed. When SRS channel estimation is performed in a Radio Unit (RU), the resulting channel estimates create significant fronthaul bandwidth demands. The method transforms SRS channel estimates from antenna space to domains with superior energy compacting properties, enabling transmission of only a subset of channel values while preserving information quality. The method includes beam space compression using mathematical transforms such as DFT, SVD, or EVD to convert channel estimates to beam space, followed by selection of the most significant beams. Alternative embodiments include tap domain compression using DCT or DFT, and delay-Doppler domain compression. The methods support static beam space compression using predefined beam bases and dynamic compression employing adaptive beam bases. O-RAN C-Plane implementations extend Section Type 6 to support the compression methods. The methods significantly reduce fronthaul bandwidth requirements while maintaining channel estimation accuracy, enabling improved system capacity in massive MIMO deployments.

The invention discloses a cache data processing method, device, system and equipment. The method comprises the following steps: writing data of a plurality of write requests into the same cache line in a write-back mode; if the bandwidth of the next-level storage device of the cache is in an idle state, expelling the first target dirty bit cache line to the next-level storage device; and if the duration between the current time and the last periodic expelling time reaches a duration threshold value, expelling the second target dirty bit cache line to the next-level storage device. By the adoption of the processing mode, under the conditions that GPGPU application is sensitive to the bandwidth of the downstream storage device of the cache and a large amount of bandwidth requirements exist in a short time, idle bandwidth of the downstream storage device can be fully utilized, the number of dirty bit cache lines is reduced while cache merging is written, and the final cache direct writing effect can be ensured through cycle expelling; therefore, relatively high data consistency and relatively low bandwidth requirements can be effectively considered, so that the bandwidth influence of cache direct writing is reduced.

Motion compensation requires a significant amount of memory bandwidth, especially for smaller prediction unit sizes. The worst case bandwidth requirements can occur when bi-predicted 4×8 or 8×4 PUs are used. To reduce the memory bandwidth requirements for such smaller PUs, methods are provided for restricting inter-coded PUs of small block sizes to be coded only in a uni-predictive mode, i.e., forward prediction or backward prediction. More specifically, PUs of specified restricted sizes in bi-predicted slices (B slices) are forced to be uni-predicted.

The application provides a communication service processing method and device, network equipment and a storage medium. The method comprises the following steps: if the bandwidth of the IP network does not meet the bandwidth requirement of the to-be-processed service set, planning each to-be-processed service through a virtual IP path in an optical network and a backup IP path set of the to-be-processed service set in the IP network; adjusting the virtual IP path and continuously planning each to-be-processed service until all to-be-processed services in the to-be-processed service set are planned or the total bandwidth of the to-be-processed services successfully planned in the to-be-processed service set remains unchanged. The technical scheme provided by the embodiment of the application plans each to-be-processed service according to the backup IP path of the to-be-processed service and the virtual IP path in the optical network, and continuously adjusts the virtual IP path until the expected requirement is met, thereby improving the bandwidth utilization rate of the IP network and the optical network and improving the service processing capacity.

A scattering parameter measurement device based on microwave photonic mixing includes a microwave generation module 1, a signal loading module 2, a local oscillator frequency generation module 3, a multi-channel microwave photonic mixing module 4, an analog-to-digital converter (ADC) module 5, and a signal processing module 6. Along the signal output direction of the multi-channel microwave photonic mixing module 4, the ADC module 5 and the signal processing module 6 are sequentially arranged. This invention utilizes microwave photonic mixing technology and a local oscillator source with relatively small bandwidth to down-convert a high-frequency microwave signal to a fixed-frequency intermediate frequency (IF) signal. This reduces the bandwidth requirements of the receiver's electronic components and the sampling rate requirements of the ADC. It abandons the traditional superheterodyne structure and / or direct conversion structure, using a miniaturized continuous optical module as the light source for microwave photonic mixing, simplifying the system structure and reducing cost and power consumption.

This disclosure describes techniques and mechanisms for intelligently and proactively routing application traffic within a SD-WAN. The techniques may utilize application models to determine bandwidth utilization and usage patterns of application flow(s), determine and predict the impact of potential movement or addition of the application traffic to a pathway and the SLA requirements of the pathway, and intelligently route and / or re-route the packets through the most optimal path, thereby preventing and / or minimizing policy violations. This disclosure describes techniques and mechanisms for intelligently analyze a target network and determine the impact of adding that application on the network based on usage patterns, flow density, bandwidth requirements and volume of traffic, thereby streamlining the process of designing a new network or adding an application to an existing network.

The invention belongs to the technical field of communication, and relates to a network traffic configuration method and device, electronic equipment and a computer readable storage medium. The network traffic configuration method at least comprises the following steps: acquiring a virtual network traffic configuration request, wherein a virtual network comprises a plurality of virtual links; acquiring information of a physical network, wherein the physical network comprises a plurality of physical links; obtaining a bandwidth demand of a virtual link and a bandwidth capacity limit of a physical link; mapping each virtual link to a plurality of actual mapping paths on a physical network by adopting a path divisible mapping algorithm; each actual mapping path comprises a plurality of physical links which are connected in sequence, and the actual mapping paths can meet the bandwidth requirements of the virtual links and the bandwidth capacity limitation of the physical links at the same time; packaging the information containing the actual mapping path in a data packet; and the data packet can be transmitted along the actual mapping path. According to the network flow configuration method, the newly added virtual link can be conveniently embedded into the physical network.

This application discloses a road noise cancellation method, apparatus, device, and readable storage medium. The method includes the steps of: acquiring a first vibration signal of real-time noise from a single-axis accelerometer; generating a first anti-vibration signal based on the first vibration signal; and using the first anti-vibration signal to control a loudspeaker to play the first anti-noise signal to eliminate road noise. This application reduces the path for acquiring vibration signals, thereby lowering the bandwidth requirements of multi-axis accelerometers during data transmission and improving signal transmission efficiency.

The invention provides a multi-core heterogeneous SOC resource optimization method and system, and belongs to the technical field of multi-core heterogeneous system.The multi-core heterogeneous SOC resource optimization method comprises the steps that according to the real-time resource requirement of a to-be-processed task, the CPU time slice quota and the AI accelerator computing power unit quota corresponding to the to-be-processed task are determined; dynamically allocating a CPU time slice quota and an AI accelerator computing power unit quota to a container for executing a to-be-processed task through a container scheduling layer; determining a delay demand and a bandwidth demand of communication between the containers according to a communication demand of data transmission between the containers; and selecting a communication protocol for data transmission between the containers according to the delay demand and the bandwidth demand, and completing data transmission between the containers through the inter-core communication layer. According to the invention, through dynamic allocation of task resources in the multi-core heterogeneous SOC and adaptive selection of a communication protocol, high-efficiency data transmission for a multi-task scene in the multi-core heterogeneous SOC is realized.

Disclosed is a multi-entangled photon source-based multi-level user quantum key distribution network and distribution method. Bandwidth requirements can be effectively dispersed by introducing a plurality of entangled photon sources, enabling a quantum entanglement-based quantum secure communication network supporting a plurality of users to be possible. When arranging the second-level photon source, problems of transmission loss and quantum key rate decline caused by an excessively long distance between users in a same user group and a central entangled photon source can be effectively alleviated. Under a multi-user hierarchical framework, the pressure of the central photon source has been further reduced, which provides the possibility for building an entanglement-based secure communication network with more users and a wider range.

The invention relates to the technical field of aviation aircraft control, and provides a four-rotor unmanned aerial vehicle control system, a control method and an unmanned aerial vehicle. The system comprises a reference signal input and error calculation unit, a multi-integration and gain combination unit, a disturbance observer (DOB) unit, a servo driving unit and a model-free observer (Obs.) unit. The control method comprises the following steps: acquiring a reference signal and an observer signal, calculating an error, performing multi-integration and gain combination processing to obtain a basic control quantity, combining disturbance compensation, converting the basic control quantity into a motor speed reference instruction to drive the rotor to act, and forming closed-loop control by using the observer. Experiments prove that under different bandwidth requirements, the method is good in dynamic performance, high in convergence speed, free of overshoot and high in external disturbance suppression capacity, and has remarkable advantages compared with an existing method of a PZC controller based on an observer and the like.