863 results about "Bandwidth utilization" patented technology

The invention discloses a deep reinforcement learning-based network traffic optimization scheduling method suitable for periodic traffic characteristics. The method comprises the following stages: collecting historical periodic traffic data; a network state is monitored in real time through an SDN controller, and historical periodic flow data including time delay, bandwidth utilization rate and load information are acquired; data preprocessing: performing cleaning, normalization and time sequence segmentation on the collected historical traffic data; constructing an LSTM model, constructing the LSTM model by using the preprocessed historical data, and defining an input feature and an output tag; training an LSTM model, training the LSTM model by using the training set data, and generating traffic prediction data of a next period; constructing a state space, fusing the predicted traffic data with the real-time traffic data, and constructing the state space; training a DQN model, and training a deep Q network (DQN) model by using the constructed state space; network topology and link state information are obtained, the current network topology is obtained through a topology discovery module of the SDN controller, and the bandwidth utilization rate, time delay and packet loss probability information of a link are collected in real time through a flow monitoring module; large flows and small flows are distinguished; scheduling the small flow by using the ECMP; and scheduling the large flow by using the DQN model.

The invention relates to the technical field of communication networks, and discloses a service channel time slot allocation method, which comprises the following steps of: 1, acquiring network data in real time from network equipment, the network data comprising bandwidth utilization rate, delay, packet loss rate and service flow type; 2, predicting future network flow fluctuation through a long-short-term memory network model based on historical flow data and real-time network data; and step 3, dynamically adjusting the allocation of time slot resources according to the network flow fluctuation prediction result, and preferentially allocating the time slot resources for high-priority services. According to the method, the dynamic adjustment of the time slot resources is realized by combining the flow prediction of the LSTM model and the Q-learning reinforcement learning algorithm, so that the system can flexibly allocate the resources according to the actual network load condition, the resource waste is reduced, the utilization efficiency of the bandwidth is improved, and the utilization rate of the overall network resources is remarkably improved especially under the condition of high network load.

According to the packet loss prevention data transmission method and device, the equipment and the storage medium provided by the invention, the network index data of the current network is acquired in response to the data transmission instruction; inputting the network index data into a network state prediction model to obtain a prediction result of the current network state; determining an FEC redundancy strategy according to the prediction result; according to the FEC redundancy strategy, performing redundancy coding on to-be-transmitted data to obtain a redundancy data packet; and sending the data to be transmitted and the redundant data packet to a target receiving end. According to the predicted network state, the number of redundant data packets can be dynamically adjusted, unnecessary redundant data transmission is reduced, and the bandwidth utilization rate is improved. Unnecessary bandwidth waste is reduced through adjustment of dynamic redundancy coding, it is ensured that enough fault-tolerant capacity is provided when the network is unstable, data integrity is effectively ensured, and meanwhile audio and video transmission fluency and stability are improved.

The invention discloses a one-way optical shutter video stream transmission method based on weak supervision semantic segmentation, and belongs to the technical field of one-way optical shutter information transmission. Comprising the following steps: carrying out key region and background region classification and marking on all video data received by an optical shutter outer end through a weak supervision semantic segmentation model; performing priority division on a key region and a background region in the video frame; dividing the data packets according to time windows, and packaging the data packets; performing dynamic data compression and segmented coding on the packaged data packet; reed-Solomon redundant coding is carried out on all the data packets of the key area after compression coding is carried out on the data packets of the key area; dynamically adjusting the transmission sequence of the data packets to perform link scheduling; and a receiving end carries out de-encapsulation and data restoration, and reconstructs the restored video frame. According to the method, redundancy and compression of data transmission contents are accurately controlled, so that the transmission efficiency and reliability are remarkably improved, the bandwidth utilization is optimized, and the transmission reliability and stability are enhanced.

The invention discloses a communication method for broadband communication and satellite fusion, which comprises the following steps of: classifying data streams, ensuring priority transmission of high-priority data streams by adopting a self-adaptive flow control protocol, carrying out load balancing according to link quality in combination with a satellite and a ground communication link, and when the communication link fluctuates, outputting the data streams. The method can automatically switch to a backup link or adjust a transmission mode, guarantees the communication stability, predicts the satellite communication time delay through deep learning, carries out the time delay compensation, optimizes the communication efficiency, intelligently allocates bandwidth resources according to the user demands and geographic positions, optimizes the bandwidth utilization rate, reduces the data transmission amount through a self-adaptive compression algorithm, and improves the bandwidth utilization rate. Therefore, the problems of non-uniform bandwidth utilization, unstable link, delay fluctuation and insufficient flow control in the prior art are solved, and through intelligent prediction and real-time adjustment, the system can efficiently utilize bandwidth resources, ensure communication stability, reduce delay fluctuation and improve overall communication quality.

The invention discloses a satellite-ground cooperative wide-area real-time communication system and a communication method thereof, and relates to the technical field of satellite-ground cooperative communication, and the communication method comprises the following steps: deploying a satellite-ground cooperative network, configuring initial link parameters and node identifiers of a satellite and a ground station, and establishing a link state table; the link state data in the link state table are fed back to the control end, and the control end calculates a link comprehensive score based on the link state data; according to the real-time optical communication channel state and the interference condition, the light beam direction is dynamically adjusted, communication channel reconstruction is carried out, and the optimal optical communication channel is selected; transmitting the encoded data stream to a receiving end through the optimal optical communication channel, and decoding the encoded data stream by the receiving end through a decoder to generate link quality data; and updating the link state table according to the link quality data. Based on the real-time optical communication channel state and the interference condition, the light beam direction is dynamically adjusted, the communication channel is reconstructed, the optimal transmission path of the channel is ensured, and therefore the signal transmission quality and the bandwidth utilization rate are improved.

The invention relates to the technical field of data flow control, in particular to a heterogeneous data flow synchronous control method and system.The method comprises the following steps that multi-source data segment receiving time is obtained, a time interval sequence is constructed, an interval difference value and a synchronous difference quantity are calculated, the sensitivity level is judged, a channel throughput change is extracted, a descending section is marked, and a priority index is generated; and mapping the high-sensitivity stream to a first-stage or second-stage output path to sort and distribute key stream segments, judging that serial numbers are continuously combined or independently output, and generating intersection and sequence information. According to the method, the time interval sequence is constructed based on the receiving time of the multiple data sources, the interval deviation is quantified, the labels are divided through the synchronization difference quantity, the sensitive level structure is established, differential management of the synchronization precision requirement of the heterogeneous data streams is achieved, the response efficiency and the alignment precision of the high-sensitivity data segments are improved in the data distribution process, and the data distribution efficiency is improved. And meanwhile, the competition of a low-sensitivity section for output resources is reduced, and the synchronous time sequence coordination capability and the channel bandwidth utilization rate in a multi-source heterogeneous environment are improved.

The invention discloses a memory prefetching control method and device, a storage medium and a program product, and relates to the technical field of computers. A heterogeneous logic model covering multiple access modes is constructed, a prefetch strategy candidate set is generated based on standard logic models corresponding to different access modes, the expression limitation of a single model on complex multi-mode access features is broken through, and access laws in different scenes can be comprehensively covered; through calculation, sorting and screening of the prefetch cost, targeted evaluation of the strategy is realized, bandwidth load aggravation and resource waste caused by redundant prefetch are avoided, and optimization of the target prefetch strategy in the aspects of low delay and high bandwidth utilization rate is ensured. According to the method and the device, the problems that a fixed logic model is difficult to adapt to dynamic diverse memory access behaviors and resource utilization is low in efficiency in the prior art are solved, and the technical effects that the method does not need to depend on fixed logic, can dynamically adapt to the change of the access mode through flexible combination and strategy screening of heterogeneous models, and is particularly suitable for terminal equipment with limited resources are achieved.

Embodiments of this application disclose a data transmission method and a communication device, to improve channel bandwidth utilization and data transmission efficiency. The data transmission method provided in embodiments of this application includes: performing clear channel assessment on an existing wireless fidelity Wi-Fi channel to obtain a channel assessment result; determining a target channel based on the channel assessment result, where a bandwidth of the target channel is greater than 80 megahertz MHz, and the bandwidth of the target channel is not a bandwidth of the existing Wi-Fi channel; and sending data to a receiving end through the target channel, or receiving data from a transmitting end through the target channel.

The invention relates to a message uploading method, a data processing unit and a network processor, and the method comprises the steps: obtaining the number of messages currently cached in the data processing unit in a target queue, so as to determine the number of descriptors to be read, obtaining the descriptors in batches through one PCIe reading operation, and sending the descriptors to the target queue; the messages of the currently cached target queue are written into host side caches pointed by the descriptors, and every time one message is successfully uploaded, one is subtracted from the message count of the currently cached target queue; and if the currently read descriptor is used up, but the target queue has unprocessed messages, repeating the above steps, determining and reading the required descriptor according to the number of the remaining messages of the currently cached target queue again, continuing to write the messages, and repeating the above steps. And all the messages of the currently cached target queue are successfully carried to the host side for caching. According to the method and the device, the message uploading efficiency and the bandwidth utilization rate are improved by optimizing the descriptor reading mode.

The invention relates to the technical field of network communication and route management, in particular to an intelligent router flow management method for a home scene, which comprises the following steps that: a home router collects network activity data of equipment, including data flow size, connection frequency and equipment type, performs cleaning and formatting processing, and stores the data flow size, the connection frequency and the equipment type; formatted device behavior data is generated. According to the method for analyzing the behavior data of the home network equipment based on the long and short-term memory network, the prediction precision of the periodicity and dependency of user behaviors is improved, and the allocation of bandwidth resources is more prospective and dynamic. Specifically, resources can be automatically adjusted according to predicted data requirements, and particularly in the peak period of requirements, it is ensured that key applications such as video conferences and online education preferentially obtain necessary network resources. According to the flow management technology, the overall operation efficiency of the network is improved by optimizing bandwidth utilization and reducing network congestion.

The invention provides a network flow control method and system, an engine, a node and related equipment, and relates to the technical field of communication. The method comprises the steps that communication information of a source computing power node is received, and the communication information comprises identification numbers of the source computing power node and a target computing power node and an identification number of a source port selected by the source computing power node; determining an optimal source port and a sending rate of the source computing power node based on the communication information; determining a forwarding path of the source computing power node based on the optimal sending port; configuration information is sent to the source computing power node, and the configuration information comprises the sending rate and the forwarding path. By means of the technical means, the problems that in network data transmission in the related technology, the link bandwidth is not fully utilized, and burst transmission flow cannot be dealt with are solved.

A computer-implemented method, system, and computer program product for maximizing bandwidth utilization of PCIe links. The bandwidth utilization of a PCIe link involving a PCIe card is measured. A bandwidth utilization of the PCIe link at a future time is predicted based on the measured bandwidth utilization of the PCIe link using a machine learning model trained to predict bandwidth utilization of PCIe links. If the predicted bandwidth utilization of the PCIe link exceeds a threshold value, then the PCIe card is configured to implement a first mode of operation that utilizes more bandwidth if not implementing the first mode of operation at the future time. If the predicted bandwidth utilization of the PCIe link does not exceed a threshold value, then the PCIe card is configured to implement a second mode of operation that utilizes less bandwidth if not implementing the second mode of operation at the future time.

The invention relates to the technical field of audio and video coding, decoding and processing, provides an audio and video signal transmission method and system based on software and hardware cooperation of an autonomous controllable architecture, and solves the problem of low bandwidth utilization rate. The method comprises the following steps: synchronously acquiring bandwidth fluctuation, packet loss rate and transmission delay parameters of a mobile terminal link, and generating a network state level through association analysis; performing resolution scaling on a brightness component of a video frame, performing dynamic downsampling on a chrominance component, generating a resolution reduction frame adaptive to a network state, and generating a fault-tolerant coding stream by combining a packet loss rate regulation and control quantization step size, a frame group length and an inter-frame prediction mode; performing entropy decoding and motion compensation to align brightness and chrominance components, forming a decoding reconstruction frame, performing multi-scale feature extraction and detail compensation, generating an enhanced brightness graph, and performing independent reconstruction on chrominance decoding components; and outputting an original resolution video frame through color reconstruction fusion. According to the invention, high-definition video low-delay transmission under network fluctuation is realized, and both bandwidth adaptability and image quality restoration precision are considered.

The invention relates to the technical field of communication networks, in particular to a dynamic resource allocation method and system for an industrial 5G network. The method comprises the following steps: acquiring industrial terminal data; identifying network congestion nodes based on industrial terminal data; detecting a link congestion fault according to the network congestion node, and determining a bandwidth utilization rate; allocating spectrum resources based on the bandwidth utilization rate; performing frequency spectrum slicing on the frequency spectrum resources, and determining a flow load amount; adjusting load balance according to the traffic load, and generating a load resource report; dynamically adjusting time slot allocation by using a load resource report, and determining a task priority; task scheduling simulation is executed according to the task priority, and if congestion occurs, a congestion snapshot is stored; reducing scheduling conflicts according to the congestion snapshots, releasing bandwidth resources, and determining available network slice capacity; power resources are dynamically adjusted based on available network slice capacity. The bandwidth utilization rate and the task scheduling efficiency of the industrial 5G network are improved based on the communication network technology.

The invention relates to the technical field of Internet, and discloses a bandwidth control method and device, equipment and a storage medium, and the method comprises the steps: determining a target resource address corresponding to a current request based on the address information of the current request in response to the issuing of the current request; the current request number and the request number threshold value of the target resource address are obtained, and the request number threshold value is determined based on the real-time bandwidth and the redundant bandwidth of the target resource address; and if the current request number is smaller than or equal to the request number threshold value, scheduling the current request to a target resource address, so that a target machine corresponding to the target resource address serves the current request. Therefore, the request number threshold value of the target resource address is determined based on the real-time bandwidth and the redundant bandwidth of the target resource address, so that prediction control is performed on the number of requests which can be borne by a machine, the bandwidth of the machine is controlled to fluctuate in a small range near the bandwidth threshold value, and the service quality of a service is not influenced while the bandwidth utilization rate is guaranteed.

The invention provides a game accelerator packet loss optimization method and device based on flow priority management. The method comprises the following steps: executing periodic link detection on at least one proxy node, and generating a corresponding link monitoring result; judging whether the packet loss rates of two continuous monitoring periods exceed a first threshold value or not according to the link monitoring result; performing real-time classification on the to-be-sent data streams to obtain priority labels for different traffic categories; inputting a prediction algorithm based on a link monitoring result, obtaining a network quality prediction value of a next monitoring period, adaptively adjusting a redundancy proportion according to the network quality prediction value, and sending a queue bandwidth constraint parameter and an agent node; and sending the sorted source data packet and the redundant data packet to a target game server or a game client according to the updated proxy node so as to realize accelerated forwarding of the game data. According to the invention, the reliability, delay stability and bandwidth utilization rate of game data transmission in a cross-border high packet loss network environment can be improved.

The invention relates to the technical field of communication route searching, in particular to a photovoltaic power station data transmission and monitoring system based on the 5G technology, and the system comprises a route state monitoring module which carries out the collection and statistics of the time delay value, bandwidth utilization rate and congestion degree value of each transmission link in a 5G base station service area, and generates a link state parameter set. According to the invention, the time delay value, the bandwidth utilization rate and the congestion degree value of each transmission link in the 5G base station service area are collected and counted, and the resource utilization efficiency is calculated based on the network load balance value and the energy consumption threshold value, so that the link state evaluation has dynamics and real-time performance, and the availability of different links can be described. And the links are calculated and screened based on the energy consumption load ratio to form a priority sequence of the transmission paths, so that the data traffic can be preferentially allocated to the link with the optimal transmission efficiency, and the occupation of the overall bandwidth by invalid traffic transmission is reduced.

The invention discloses a power consumption optimization method and device of a solid state disk controller, equipment and a medium, and relates to the field of computers, and the method comprises the following steps: determining an uplink bandwidth demand and a downlink bandwidth demand of a nonvolatile memory fast solid state disk controller according to a response rate of a completion queue and a target attribute of each input / output request; determining a unidirectional maximum transmission bandwidth of the communication bus according to a link rate and a link width of the communication bus, and determining a current uplink bandwidth utilization rate and a current downlink bandwidth utilization rate of the communication bus according to the unidirectional maximum transmission bandwidth, the uplink bandwidth demand and the downlink bandwidth demand; and adjusting the link rate of the communication bus according to the current uplink bandwidth utilization rate and the current downlink bandwidth utilization rate. According to the method and the device, the power consumption optimization of the nonvolatile memory fast solid state disk controller is realized.

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 technical field of Internet of Things communication transmission, and discloses an Internet of Things data intelligent transmission method and system, and the method comprises the steps: abstracting the performance of a multi-source heterogeneous link through a software defined network controller, dynamically generating a slice template, carrying out the traffic marking and priority scheduling, constructing a multi-path target constraint optimization model, and carrying out the optimization of the multi-path target constraint optimization model. And in combination with a network function virtualization mechanism, multi-level intelligent transmission is implemented at edge nodes, and a final transmission control instruction is generated. In the prior art, in a heterogeneous multi-network environment, low-delay, high-reliability and high-bandwidth transmission cannot be guaranteed at the same time, and especially in an industrial automation scene, technical problems that a control instruction is easy to delay and a monitoring data bandwidth is limited exist. According to the invention, the overall transmission reliability and bandwidth utilization efficiency are improved through the dynamic priority traffic scheduling based on network slices, the multipath reliability product model and the dynamic batch processing and progressive compression technology based on real-time link feedback.

The embodiment of the invention provides a data transmission method and device based on a network-on-chip, electronic equipment and a readable storage medium. The method comprises the steps that a data packet is received, and a target routing node corresponding to the data packet is determined; determining a next-hop routing node corresponding to the routing node from the tree topology structure according to the receiving direction of the data packet and the position of the routing node in the tree topology structure; the tree topology structure is a structure for connecting configuration channels of the routing nodes; and sending the data packet to the next-hop routing node, so that the next-hop routing node determines the corresponding next-hop routing node until the next-hop routing node is the target routing node, sending the data packet to the target routing node, so that the target routing node performs configuration according to the data packet, and sending the configured data packet to the next-hop routing node, so that the next-hop routing node determines the corresponding next-hop routing node until the next-hop routing node is the target routing node. The bandwidth utilization rate during data transmission is improved, and the real-time performance of data transmission is improved.

The invention relates to a dynamic routing and flow balancing method and system for a regionalized network topology, and the method comprises the steps: dividing a satellite network into a plurality of partitions, and distributing a core node for traffic scheduling and routing calculation for each partition; each core satellite node responds to each traffic demand, and bandwidth and traffic distribution in each partition are adjusted through a multi-anchor-segment routing method and a preset linear programming model; and each satellite node dynamically adjusts the route of each traffic demand through a probability forwarding scheduling method based on geometric topology according to the relative position of the satellite node and the target node. According to the method, low delay, high bandwidth utilization rate, load balance and efficient fault recovery of the satellite network are realized through network partitioning, a multi-anchor-segment routing method and probability forwarding based on geometric topology.

The invention relates to a compression algorithm optimization method and device based on a RapidIO protocol stack and electronic equipment, and the method comprises the steps: determining an applicable compression algorithm according to the type of data transmitted by RapidIO; integrating the selected compression algorithm to a transmission layer of a RapidIO protocol stack, and creating compression and decompression functions as independent modules; dynamically adjusting a compression strategy according to a real-time network state and data characteristics; and a data integrity checking mechanism is added in the compression and decompression processes. By selecting a proper compression algorithm and integrating the compression algorithm into a protocol stack, the data transmission quantity can be remarkably reduced, so that the bandwidth utilization rate is improved, the high-bandwidth requirement is met, meanwhile, due to the modular design and the introduction of a dynamic compression strategy, the system can perform self-adaptive adjustment according to the real-time network state and data characteristics, and the real-time performance of the system is improved. The real-time requirement is met, the bandwidth can be effectively utilized conveniently when large-scale data transmission is processed, and resource waste is reduced.

The invention relates to the technical field of data synchronization, in particular to a data synchronization method and system for communication software, which comprises the following steps of: counting the network bandwidth utilization rate of the communication software, the synchronization request frequency of a user and the synchronization request size, calculating the transmission demand quantity of each data partition, comparing the current load capacity of a different partition with the network transmission capacity, and determining the network transmission capacity of the different partition. And adjusting the transmission range and the partition boundary of the data partition, and generating a dynamic partition transmission range value. According to the method, the network bandwidth utilization rate, the user request frequency and the request size are comprehensively calculated, the partition transmission range and boundary are dynamically adjusted, network resource allocation is optimized, the influence of high-load partitions on the overall transmission capacity is reduced, data items in the partitions are classified and processed based on the updating frequency and the access mode, and conflict frequency statistics and sorting are combined, so that the transmission capacity of the high-load partitions is improved. High-conflict data items are solved preferentially, the synchronization delay amount is evaluated and subjected to threshold judgment, key data are transmitted preferentially, and the timeliness and consistency of high-sensitivity data are improved.

The invention relates to the technical field of satellite communication networks and on-board buses, in particular to a data deterministic transmission scheduling method for a satellite-borne time-sensitive network. The method comprises the following steps: constructing a satellite-borne network architecture, connecting each terminal and a bus gateway by a TSN management node to form a unified data bus, distributing priority and monitoring link state; performing feature modeling on the data frames to define six-tuple parameters; designing a hierarchical queue architecture comprising a key task queue, a load data queue and a background traffic queue; a dynamic shaping mechanism is adopted, corresponding shaping devices are arranged for different queues, and parameters are set; the invention further provides an anti-disturbance scheduling strategy which comprises dynamic priority improvement and elastic bandwidth allocation. And finally, performing output scheduling according to a strict priority and a weighted fair queue rule. According to the method, by constructing a unified TSN bus and integrating heterogeneous subsystems, low-delay and low-jitter transmission of key task data is realized, the bandwidth utilization rate of scientific load data is improved, the network reconstruction time is shortened, the anti-interference capability is enhanced, and satellite-borne mixed data stream transmission in a high-dynamic and multi-task scene is effectively optimized.

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 network flow directional transmission optimization method, and relates to the technical field of data transmission. Comprising the following steps: establishing a regional priority model based on regional distribution, dynamically adjusting a network link, deploying multi-level cache nodes, determining isolation and multiplexing rules of data traffic, coordinating network resource allocation, establishing a feedback mechanism, and constructing an energy-aware transmission scheduling strategy. According to the network traffic directional transmission optimization method, the flexibility and the accuracy of network traffic scheduling are remarkably improved by setting the combination of a regional priority model and a dynamic link reconstruction mechanism, the transmission efficiency of key service traffic can be guaranteed preferentially, and the network traffic directional transmission optimization method can be used for optimizing the network traffic through real-time link optimization and load prediction. And performance reduction caused by network congestion is avoided. And meanwhile, the low-priority flow is effectively managed, and the reasonable distribution of global network resources is realized. In practical application, the method can greatly reduce the network delay, improve the bandwidth utilization rate and improve the user experience.

The invention discloses a bandwidth dynamic allocation method and device, a program product and a storage medium, and relates to the technical field of computers. According to the method, bandwidth use data of a network outlet are collected in real time, the residual bandwidth capacity of the outlet is determined, and the distributable dynamic bandwidth capacity of each interface is calculated by combining an interface weight parameter and an interface stability coefficient calculated based on bandwidth use fluctuation characteristics, so that the residual bandwidth of the network outlet can be reasonably distributed. Meanwhile, a dynamic additional bandwidth mechanism is introduced outside the fixed basic bandwidth, and the dynamic bandwidth allocation weight is determined based on the bandwidth use stability of the authentication terminal and the current bandwidth use state, so that the terminal is not limited by a preset fixed bandwidth upper limit any more, more bandwidth resources can be obtained when the exit bandwidth is sufficient, and the bandwidth utilization rate of the terminal is improved. Therefore, the utilization efficiency of bandwidth resources is improved.

The invention discloses a communication-detection integrated sonar signal design method and device based on multi-pulse composite modulation, and the method comprises the steps: dividing a total frame period into a detection sub-frame and a communication sub-frame, enabling the detection sub-frame to achieve the high-resolution distance measurement through employing a bidirectional linear frequency modulation (BILFM) signal, a communication sub-frame adopts a multi-frequency multi-phase composite modulation (MTPM) signal to realize high-bit-rate data transmission; after band filtering, orthogonal demodulation, low-pass filtering and down-sampling preprocessing are carried out on detection sub-frame echoes, distance and speed information is extracted by adopting fast-time low-sampling two-dimensional fast Fourier transform (2D-FFT), unambiguous Doppler frequency is recovered by utilizing the Chinese remainder theorem (CRT), and accurate speed measurement of long-distance and high-speed targets is realized; a communication subframe receiving signal is subjected to IQ demodulation after down-conversion, Costas loop carrier synchronization and matched filtering, and multi-frequency multi-phase coded data are extracted. According to the method, the time-frequency collaborative design of detection and communication is realized, the distance resolution and the speed measurement range are considered, and the signal bandwidth utilization rate and the underwater information transmission reliability are remarkably improved while the system complexity is kept low. The device comprises a processor and a memory, and an executable program for implementing the method is stored in the memory. The technology can be widely applied to the fields of unmanned underwater vehicles, ocean monitoring, underwater sensing networks and the like.