888 results about "Transmission quality" patented technology

The invention relates to the technical field of communication scheduling, discloses a communication scheduling network management intelligent optimization system and method based on AI dynamic decision, and solves the problems of insufficient scheduling dynamics, closed loop deficiency and poor edge adaptation in the prior art. Comprising a multi-dimensional data fusion acquisition module, a dynamic AI decision engine module, a cross-domain collaborative scheduling module and an intelligent closed-loop feedback optimization module. The dynamic AI decision engine module evaluates business value and resource pressure based on an edge-center collaborative architecture, predicts transmission quality and quantifies strategy income, the cross-domain collaborative scheduling module realizes intra-domain resource slicing and inter-domain strategy negotiation and path optimization, the intelligent closed-loop feedback optimization module constructs a data closed loop to iteratively optimize model parameters, and the dynamic AI decision engine module performs multi-domain collaborative scheduling on the basis of the edge-center collaborative architecture. Intelligent scheduling and autonomous optimization of network resources are realized, and the real-time performance, the reliability and the resource utilization rate of a communication network are improved.

The invention discloses an adaptive modulation anti-multipath unmanned aerial vehicle swarm communication method and system based on MIMO-OFDM, and relates to the technical field of wireless communication, and the method comprises the steps: receiving a down-conversion baseband; synchronization and compensation are carried out; removing a cyclic prefix and carrying out fast Fourier transform; estimating a channel and noise on the training and pilot frequency, and correcting a common phase; performing frequency domain equalization and soft decision, forward error correction and cyclic redundancy check according to the estimation to obtain a control parameter, decoding a payload according to the control parameter, and performing statistics to form a link quality indication; modulating coding, bandwidth and spatial mode, configuring mapping, power and weight, and packaging physical layer protocol data; carrier sensing conflict avoiding sending, confirmation and retry are adopted to generate media access statistics; and the routing selects the next-hop multi-hop forwarding according to the transmission quality, and performs end-to-end statistics and recharge. Through cooperation of hierarchical synchronization and phase correction with cyclic prefix and FFT, crosstalk is suppressed, channel noise scale optimization soft decision is robust, data decoupling is controlled, and end-to-end availability is improved through multi-hop self-healing recharge.

The invention relates to the technical field of cluster video stream processing, and discloses a video stream real-time coding and decoding transmission method under a cluster. The method comprises the following steps: firstly, acquiring video stream coding parameter text data, link state time sequence data and equipment performance index data of multiple nodes of a target cluster to form a transmission link data set; semantic analysis is carried out on the coding parameter text data to obtain a coding semantic feature vector, dynamic fluctuation features are extracted from the link state time sequence data to obtain a link fluctuation feature vector, and cross-modal fusion is carried out to generate a fusion transmission feature set; generating an abnormal association degree score set by using a pre-trained multi-layer sensing network model, and obtaining an abnormal source node and an equipment defect type by combining root cause tracing according to the abnormal association degree score set; and finally, generating a dynamic optimization strategy and feeding back to the transmission control system to trigger parameter calibration. According to the method, the abnormal root cause can be accurately traced, the transmission parameters are optimized, and the cluster video stream transmission quality is improved.

The invention relates to the technical field of wireless high-definition audio and video transmission, and discloses a plug-and-play wireless high-definition audio and video transmission method and system.The method comprises the steps that foreground space texture features and audio and voice segments are obtained, and an initial feature set containing space and semantic features is obtained through semantic correlation analysis; a unified representation vector is output through multi-modal feature fusion, and a dynamic importance score is obtained by determining time sequence consistency, calculating an importance weight and performing normalization; and when the score exceeds a threshold value, segmenting the video frame in real time to determine an attention focus area and optimize a boundary, thereby generating an attention weight matrix, preferentially allocating bandwidth and forming a partition differentiation compression result. And in combination with a network bandwidth state, protection is enhanced for a key stream, the priority and the bit rate are dynamically adjusted, and high-quality audios and videos are output through decoding and recombination. According to the invention, the bandwidth allocation and compression strategy can be dynamically optimized, the transmission quality of a key area is guaranteed when the bandwidth fluctuates, and the audio and video transmission efficiency and experience are improved.

The invention discloses a low-delay self-adaptive audio transmission method, system and device and a storage medium, and relates to the technical field of audio, and the method comprises the steps: dynamically recognizing an optimal transmission path in wireless dual bands based on an intelligent band detection and self-adaptive channel selection mechanism; decomposing the target audio data through a hierarchical coding algorithm, and executing self-adaptive adjustment of a differential transmission strategy and a quantization parameter; the dual-band performance is monitored in real time based on a load balancing algorithm, the decomposed transmission tasks are dynamically allocated, and path switching is triggered when it is monitored that the transmission quality of the current band is abnormal; the future buffer requirement is predicted based on a predictive buffer algorithm, the size of a buffer area is dynamically adjusted according to the actual playing condition and the network state change so as to ensure the playing continuity and minimize the delay, the technical bottleneck of traditional single-frequency wireless audio transmission is broken through, an effective frequency band coordination mechanism is realized, resource waste or transmission conflicts are avoided, and the transmission efficiency is improved. And the double-frequency advantage is fully exerted.

The invention discloses a multi-protocol channel data aggregation method based on 5G communication, and relates to the technical field of heterogeneous network data processing under the fusion of 5G communication and edge computing, and the method comprises the steps: constructing a protocol adaptive conversion engine, recognizing an input protocol type through learning, and automatically selecting a conversion strategy and a data packaging format. An edge-cloud collaborative intelligent scheduling architecture is introduced, a data aggregation task is dynamically determined, a dynamic channel aggregation algorithm of a 5G network state and protocol characteristics is designed, and a transmission path and an aggregation strategy are intelligently selected. By constructing a protocol adaptive conversion engine, an edge-cloud collaborative intelligent scheduling architecture and a dynamic channel aggregation algorithm fusing 5G network state and protocol characteristics, automatic identification, efficient aggregation and optimized transmission of multi-protocol data are realized, dynamic scheduling of tasks is realized in combination with an SDN / NFV technology, and the dynamic scheduling efficiency of the multi-protocol data is improved. The channel selection mechanism based on the utility function comprehensively considers the network state and protocol characteristics, and guarantees the transmission quality of high-priority and time delay sensitive data.

The invention discloses a distributed data encryption and verification system and method based on a block chain, and relates to the technical field of block chains. The method comprises the following steps: dynamically matching an initial processing node and a transmission path according to data characteristics and node capability; selecting an optimal path and an encryption strategy by combining the node capability, the network state and the data security requirement; data fragmentation encryption transmission is executed, and the transmission quality is evaluated in real time; future transmission risks are predicted based on historical data, and path sustainability is evaluated; and adjusting the path according to the real-time verification value and the prediction feasibility, and updating the block chain record. Full-link traceable auditing is realized through block chain evidence storage, the dynamic encryption strategy and predictive path optimization are combined, the transmission efficiency is improved, the security risk is reduced, the energy consumption is reduced, and the method is suitable for a high-security demand scene.

The invention is suitable for the technical field of network scheduling, and provides a network scheduling method and system for hybrid service transmission based on RDMA, and the method comprises the steps: receiving a to-be-transmitted service demand instruction, and determining a corresponding service type according to a service quality parameter in the service demand instruction; matching a corresponding virtual transmission channel for the service demand instruction according to the service type, wherein the virtual transmission channel is used for isolating hardware-level resources of different types of traffic; selecting an optimal transmission path for the flow of each virtual transmission channel according to a preset path evaluation model; analyzing the congestion risk of the optimal transmission path by adopting a prediction model; and dynamically adjusting a flow transmission path according to a congestion risk analysis result, and ensuring the transmission quality of the highest priority service through a hardware-level scheduling strategy. According to the invention, the optimal balance between the service quality and the resource efficiency can be realized in a complex mixed service environment.

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 relates to the technical field of power supply system health assessment, in particular to a health assessment method and system of a power supply system based on artificial intelligence. The method comprises the following steps: acquiring data of a power supply system, estimating initial performance parameters of the power supply system, evaluating an initial running state of the power supply system, and acquiring initial state data of the power supply system; performing power supply equipment load operation simulation based on the initial state data, and predicting a fault evolution trajectory; the transmission quality attenuation degree of the power supply system is estimated by analyzing the fault evolution trajectory of the power supply system, the loss increase trend of a transmission line is detected, and the performance decrease trend is evaluated in combination with the attenuation degree; evaluating health attenuation data of the power supply system according to the performance reduction trend; transmitting the data to an artificial intelligence model for deep learning training to obtain accurate power supply system health state evaluation data; according to the invention, health analysis is carried out on the power supply system, so that the power supply system is safer and more stable.

The invention provides an electric power wireless local area network multi-domain data processing method and system based on credibility certification, and the method comprises the steps: firstly calling a credibility certification model to carry out the credibility certification of terminal equipment, generating a terminal certification data set containing equipment identity and the like, obtaining a cross-domain original data flow, extracting the characteristics of equipment operation and the like through multi-mode characteristics, and carrying out the multi-mode certification of the terminal equipment; the method comprises the following steps: carrying out weighted fusion on credibility of equipment operation state characteristics based on a terminal authentication data set, carrying out dynamic association analysis on the credibility and network transmission quality characteristics to generate a cross-domain association characteristic set, and carrying out spatio-temporal context aggregation on the cross-domain association characteristic set and service operation semantic characteristics by utilizing a pre-trained multi-domain collaborative analysis model; and finally, according to the multi-domain collaborative optimization strategy set, dynamic resources of service domain nodes are reconfigured, and a network optimization execution instruction set is generated and fed back to terminal equipment to trigger trusted communication link upgrading operation. And effective multi-domain data processing and network optimization of the electric power wireless local area network are realized.

The present application relates to the technical field of communications, and discloses a path planning method and apparatus, a device, a system, and a storage medium. The method comprises: acquiring traffic prediction information respectively corresponding to at least one time period; and on the basis of the traffic prediction information respectively corresponding to the at least one time period and at least one selectable path respectively corresponding to each service, determining a target forwarding path of each service meeting path planning objectives. The path planning objectives comprise: the service traffic borne by any link in a hierarchical network in any time period is less than or equal to the bandwidth capacity upper limit of any link, load balancing is realized between multiple links connected to a same network node in the hierarchical network, and the transmission quality of the target forwarding path of any service meets a quality requirement of any service. Path planning of a global service is realized, network link congestion can be reduced, and better effects that load balancing between all network links is realized and a service forwarding path meets a service quality requirement are achieved.

The invention relates to the technical field of network communication, and discloses a ubiquitous network dynamic fair rate cooperative control method, which aims at link time varying, topology reconstruction and multi-source and multi-path concurrency characteristics of an air-space-ground-sea fusion network. A routing node periodically collects indexes such as a request satisfaction rate, a queue length and a multi-hop queuing-free proportion to obtain link transmission quality and dynamically update an interest packet forwarding table; deducing a queue upper limit, calculating a rate shaping value in combination with an interest packet forwarding proportion, and carrying out delayed transmission on an over-limit interest packet; when the interest queue exceeds a threshold value, a congestion feedback value is generated and goes down along with a data packet, and an uncongested interface obtains a release bandwidth through probability compensation; and if the whole path is still congested, the consumer multiplicatively shrinks the sending window according to the feedback proportion. According to the method, the throughput is remarkably improved and the queuing delay is reduced while fair allocation of bandwidth resources is ensured.

The invention belongs to the technical field of air traffic management, and discloses a control tower and flight guarantee command room decision instruction transmission method based on edge nodes, priorities are distributed for instructions through an intelligent grading model, the high-priority instructions can reserve resources in advance and are transmitted preferentially, the resources can be preempted in emergency, and the control tower and flight guarantee command room decision instruction transmission efficiency is improved. A multi-path transmission strategy is automatically switched when a certain path fails, data integrity is ensured in combination with fragment verification and block chain recording, instruction loss caused by a single point of failure is avoided through edge-cloud redundant backup, and the problems that instruction transmission is prone to interference and insufficient in safety in a traditional method are solved; through intelligent priority grading, resources are inclined to high-priority instructions, resource waste is avoided, a collaborative scheduling mechanism of an edge node cluster can dynamically adjust resource allocation according to a real-time load, and a transmission quality feedback and adaptive optimization strategy is continuously optimized, so that the system can still efficiently process a large number of instructions in a flight take-off and landing intensive period.

The invention relates to the technical field of electric power system communication, in particular to a dynamic bandwidth allocation method and system for an electric power communication network, and the method comprises the steps: constructing a service traffic characteristic database, dividing service types, defining indexes such as a bandwidth threshold value, and predicting traffic fluctuation by adopting an LSTM-GARCH hybrid neural network; parameters such as a link bandwidth occupancy rate are obtained in real time, and a network state matrix is constructed; based on the prediction model and the network state, generating a bandwidth allocation scheme through a deep reinforcement learning algorithm optimized by a near-end strategy; a software-defined network controller is used to execute a strategy, and a gradient descent method is combined to optimize parameters to form a closed loop. By dynamically adapting the service flow and the network state, the bandwidth utilization rate is improved, the key service transmission quality is guaranteed, and efficient and stable operation of the electric power communication network is achieved.

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 relates to the technical field of network communication, and discloses a multi-path routing proxy method, a storage medium and a system, and the method comprises the steps: identifying the session type, protocol type and session feature parameters of a data flow, querying corresponding performance index coefficients according to the session type of the data flow, and obtaining a multi-path routing proxy according to the corresponding performance index coefficients. And calculating the score of each potential path in the path connection pool according to the real-time performance indexes of the potential paths. And matching with a preset demand type according to the session type, the protocol type and the session feature parameter, and determining a data distribution strategy according to the matched demand type. And finally, according to the determined data distribution strategy, calculating the number of paths corresponding to the data flow, selecting the potential paths with the corresponding number with the top scores as the distribution paths of the data flow, and completing the distribution of the data flow along the corresponding distribution paths according to the corresponding data distribution strategy. According to the method, the transmission quality of the routing system for different types of application data can be improved.

The invention relates to the technical field of satellite communication data transmission, and discloses a satellite communication data transmission system of Internet of Things equipment. The environmental parameter acquisition module of the system is responsible for comprehensively acquiring various environmental parameters of the Internet of Things equipment in satellite communication and providing basic data for subsequent analysis. The learning model construction module establishes a data transmission prediction model by using the parameter data. And the transmission quality prediction module estimates the transmission quality of the satellite channel by means of the model. And the data behavior simulation module simulates the dynamic behavior of the data packet in the channel according to the transmission quality estimation result. And the communication scheme optimization module generates a final transmission strategy according to the simulation result and a preset communication target. Through close cooperation of the modules, the system achieves accurate prediction of satellite channel transmission quality, effective simulation of data packet behaviors and optimization of a communication scheme, and plays an important role in data transmission of the Internet of Things.

The invention discloses a cross-platform audio data communication processing method and system based on multi-protocol support, and relates to the technical field of data processing, and the method comprises the steps: carrying out the dynamic coding of a standardized audio data stream, and obtaining a coding audio package; constructing a multi-communication protocol cluster based on the coding audio packet, calculating the compatibility adaptation degree of the coding audio packet and each communication protocol according to the transmission capability of the source platform, and selecting an optimal communication protocol from the multi-communication protocol cluster based on the compatibility adaptation degree; and executing cross-platform transmission on the coded audio packet according to the optimal communication protocol, triggering a communication protocol conversion mechanism based on the predicted communication link state in the transmission process, and adaptively switching to an alternative communication protocol to maintain the transmission stability. According to the method, the flexible protocol scheduling capability is ensured under the scene of communication switching, network fluctuation or transmission abnormity, and the adaptability, the stability and the transmission quality of audio data communication are remarkably improved.

The invention relates to the field of data compression, in particular to a data compression algorithm and system for multi-device interconnection. The method comprises the following steps: identifying a real-time communication protocol of multiple network devices, and carrying out protocol information analysis and cross-protocol conversion topology analysis to generate inter-protocol topology conversion characteristics; abstracting and standardizing the real-time communication protocol, and performing multi-protocol unified conversion and reconstruction according to topology conversion characteristics among protocols to construct a multi-level protocol topology pool; acquiring a communication data stream of each device, and performing abnormal data cleaning to obtain a cleaned optimized communication data stream; and carrying out data compression space utilization rate calculation on the cleaned and optimized communication data stream, and carrying out adaptive compression parameter adjustment based on the multi-level protocol topology pool so as to obtain a data stream adaptive compression strategy. According to the invention, the compression effect of equipment data interconnection is optimized, the energy consumption is reduced, and the data interconnection transmission quality and speed between equipment are improved.

The invention discloses an Internet of Vehicles dynamic IP address management method and device based on a DDS and a vehicle. The method comprises the following steps: acquiring a DDS communication configuration set based on a road side unit; joining an Internet of Vehicles DDS domain for communication based on the DDS communication configuration set; triggering updating of the DDS communication configuration set based on cross-region movement; and performing communication based on the updated DDS communication configuration set. According to the invention, the vehicle joins the DDS domain through the DDS communication configuration set acquired by the road side unit, so that the network layer configuration and the data transmission rule of the vehicle can be ensured to be completely adaptive to the management strategy of the local RSU, and the access failure or low communication efficiency caused by parameter mismatching in the traditional dynamic IP management is avoided. And when the vehicle moves across the regions, a DDS communication configuration set updating mechanism is triggered, and configuration parameters adaptive to the new region are dynamically generated. And communication is carried out based on the updated configuration set, so that the vehicle can obtain the transmission quality matched with the service requirement in different environments.

The invention relates to the communication technology, and provides a traffic distribution method and device, network equipment and a computer readable storage medium, the method and device are applied to the network equipment, the network equipment comprises a plurality of ports belonging to the same ECMP group, and the method comprises the following steps: obtaining a port load representing the transmission quality of each port; according to a pre-established distribution weight relationship and the load of each port, determining a forwarding port from the plurality of ports, the distribution weight relationship comprising a preset load of each port and a corresponding DLB weight; and distributing the received flow to a forwarding port for forwarding. According to the invention, the flow distribution can be dynamically adjusted through the preset load and the DLB weight, and the flexibility and diversification of the flow distribution are improved.

The invention relates to the technical field of power signals, in particular to a power line broadband carrier signal adaptive enhancement and noise reduction method and system. According to the method, the multi-dimensional interference characteristics of the power line transmission environment are acquired and the initial modulation parameters are pre-adjusted, so that the influence of environmental interference can be reduced at the initial stage of signal transmission, the signal transmission quality is improved, and the multi-path delay inequality of the aggregated signal and the channel attenuation coefficient are acquired in real time and are combined with dynamic channel adjustment, so that the signal transmission efficiency is improved. Signal components can be dynamically adjusted and optimized according to real-time changes of a power line channel, the adaptive capacity of a system is improved, signals can be optimized in real time by means of real-time transmission quality monitoring and optimization of enhanced carrier signals, the lagging influence of signal quality is avoided, and the system performance is improved. The method ensures that the power line communication system has good adaptive enhancement and noise reduction capabilities, improves the overall performance of the communication system, and can effectively overcome the influence of multipath effect, electromagnetic interference, attenuation and other factors on channel estimation in the prior art.

The invention provides a remote control method and device for intelligent multimedia interaction equipment, equipment and a medium, which are used for improving the real-time performance and the execution success rate of remote control and enabling complex multimedia interaction to be reliably operated on a heterogeneous network and heterogeneous equipment. The method comprises the following steps: carrying out hierarchical analysis processing on interaction data input by a user to generate perception command data, and carrying out execution planning and resource allocation on the perception command data according to equipment performance characteristics to generate an executable operation sequence, and performing transmission quality evaluation and path selection on the propagation path network according to the executable operation sequence to obtain a target transmission path, and performing protocol encapsulation on the executable operation sequence according to the target transmission path to obtain a remote control instruction data stream.

The invention relates to the technical field of optical communication, in particular to an optical module which comprises a PCB, a bare DIE DSP chip, a PD chip, a TX PIC chip, an RX optical path element and a TX optical path element, the bare DIE DSP chip and the PD chip are both arranged on the front face of the PCB in an inverted mode, the RX optical path element is arranged on the front face of the PCB, the TX PIC chip and the TX optical path element are both arranged on the back face of the PCB, and the PD chip and the TX PIC chip are both electrically connected with the bare DIE DSP chip. According to the invention, the bare DIE DSP chip and the PD chip are inversely arranged on the front surface of the PCB, the TX PIC chip is arranged on the back surface of the PCB, and the RX optical path element and the TX optical path element are respectively arranged on the front surface and the back surface of the PCB, so that the length of a high-speed signal line among the PD chip, the TX PIC chip and the DSP chip can be obviously shortened by adopting the front and back double-sided layout design, and the reliability of the high-speed signal line is improved. Therefore, signal distortion caused by loss, reflection and the like in the transmission process of the electric signals is effectively reduced, and the signal transmission quality and the overall performance of the optical module are improved.

The invention relates to the technical field of voice communication, in particular to a voice signal processing method and device, equipment, a storage medium and a computer program product. The method comprises the following steps: performing real-time noise classification on a received original voice signal based on a preset deep neural network noise recognition model; according to the noise classification result, selecting a corresponding combined noise reduction model to perform multi-stage noise reduction processing on the original voice signal to obtain a noise-reduced voice signal, the combined noise reduction model comprising one or more of a deep neural network-based noise reduction module, a Wiener filtering module and a spectral subtraction module; and on the basis of time domain feature extraction and frequency domain feature extraction, voice feature enhancement processing is performed on the noise-reduced voice signal to obtain the target voice signal, so that the transmission quality of the voice signal is improved.

The invention relates to the technical field of Bluetooth earphones, and discloses a Bluetooth earphone dynamic power consumption and transmission delay balance control system, which comprises a state acquisition module, a strategy generation module, a factor analysis module, a quantitative evaluation module, a parameter adjustment module and an execution control module. The state acquisition module obtains working current, data packet state and the like to construct an evaluation model; the strategy generation module generates an initial association strategy table; the factor analysis module analyzes historical data to identify interference factors; the quantitative evaluation module calculates a stability deviation index; the parameter adjusting module updates the strategy table according to the index; and the execution control module triggers rate switching. The system is further provided with a data packet comparison unit, a timestamp marking unit and the like to process data transmission conflicts, and the transmission quality is optimized through a three-dimensional transmission quality field model, a genetic algorithm and a three-level response mechanism. The system realizes dynamic balance of power consumption and transmission delay, and is suitable for the field of power consumption and transmission control of the Bluetooth headset.

The invention discloses a secure cloud workstation and a resource scheduling method suitable for a high-altitude weak network environment, and the secure cloud workstation comprises a virtualization management platform which is used for carrying out the virtualization processing of core computing components of a plurality of servers contained in a back-end server cluster, and forms a plurality of virtual hosts; the front-end thin client only reserves display and input functions, establishes connection with the virtualization management platform, receives a virtual host human-computer interface pushed by any virtual host in the virtualization computing resource pool, and feeds back a user operation instruction to the virtualization management platform; the transmission protocol optimization module is used for integrating graph, input and audio data transmission channels, monitoring the network bandwidth and the delay state of a high-altitude area in real time by adopting a self-adaptive compression algorithm, and dynamically adjusting the transmission image quality and the frame rate of a virtual host human-computer interface; and the resource scheduling module is used for automatically allocating computing resources to the plurality of virtual hosts based on the load data of the virtualization management platform so as to realize cross-server load balancing.

The invention discloses a method and a device for determining working parameters of an adaptive equalizer. The method comprises the following steps: selecting a first initial value and a first offset of an adaptive equalizer in a chip according to a current link rate and cable information; determining a first working parameter of the adaptive equalizer according to the first initial value and the first offset; receiving signal feedback information of a receiving end corresponding to the chip is acquired; when determining that the signal transmission quality is lower than a preset value according to the received signal feedback information, reselecting a second initial value and a second offset of the adaptive equalizer, and obtaining a second working parameter of the adaptive equalizer according to the second initial value and the second offset, and the signal transmission quality is not lower than the preset value when the adaptive equalizer operates according to the second working parameter. According to the method and the device, the technical problem that in the prior art, due to the fact that self-adaptive balanced insertion loss changes exist in a chip under different cable lengths and cable types, frequent manual parameter adjustment is needed, and the operation is relatively tedious is solved.

A wireless transmission method is performed by a terminal. The method includes: based on configuration information, determining a threshold value of signal transmission quality for the terminal to perform small data transmission (SDT); wherein the configuration information indicates the threshold value for at least one type of terminal among terminals supporting coverage enhancement (CE) and terminals not supporting CE in a network supporting CE to perform the SDT.