438 results about "Transmission scheduling" patented technology

The invention relates to the technical field of data synchronization, and discloses a distributed account book remote data synchronization method and system, and the method comprises the steps: carrying out the Hash mapping calculation of all nodes of a distributed account book system, and obtaining a distributed storage architecture; performing hierarchical network construction on the nodes, and setting an inter-region remote synchronization link and an intra-region local synchronization link to obtain a double-layer communication architecture; performing parallel compression coding, digital signature generation, transmission scheduling arrangement and consistency verification processing on the data blocks to obtain a node synchronous data set; calculating a correlation coefficient of node processing delay and network transmission delay to obtain a synchronous delay analysis model; based on a data block corresponding to the synchronous delay analysis model, adding a time sequence identifier and calculating an integrity check code, and generating a synchronous reliability guarantee mechanism; according to the method, the consistency and the traceability of the distributed account book data are ensured.

The invention discloses a generative AI endogenous communication network architecture and a hierarchical collaborative scheduling method, and relates to the technical field of communication networks, the communication network architecture comprises an intention extraction layer, a mapping adaptation layer and a network execution layer, the intention extraction layer processes multi-modal data by using a generative AI model to obtain a semantic demand representation of a user, and the mapping adaptation layer carries out mapping on the semantic demand representation of the user; the mapping adaptation layer maps the semantic demand representation into a service quality index by using a generative AI model, maps a real-time network state of a heterogeneous network in the network execution layer into a network performance index, and generates a transmission scheduling strategy based on the service quality index and the network performance index, and the network execution layer works based on the transmission scheduling strategy, so that the network performance of the heterogeneous network is improved. End-to-end deterministic transmission scheduling of data packets of a service is implemented. According to the invention, efficient deterministic transmission scheduling of intelligent computing services in a 6G network can be realized.

The invention belongs to the technical field of data synchronization, and particularly relates to a real-time data synchronization method for cloud computing heterogeneous resources. In order to solve the problem of data synchronization among heterogeneous resources, the method comprises the following steps: aggregating a plurality of files in batches to generate a packaged file; performing metadata compression processing on the generated packaged file, and eliminating repeated data through a deduplication algorithm; dynamically selecting a lightweight data transmission protocol; establishing a multi-dimensional index structure; only retaining the file of the latest version through a version control mechanism; dynamically adjusting the allocation of synchronization tasks based on the load condition of available resources in the cloud computing environment; and rescheduling the uncompleted synchronization task. Through a multi-dimensional index structure, version control, self-adaptive transmission scheduling and a dynamic resource allocation mechanism, efficient and stable file synchronization among heterogeneous resources is realized, repeated transmission and storage waste are reduced, and real-time performance, reliability and resource utilization efficiency of synchronization are improved.

The invention discloses a data stream transmission scheduling method based on a distributed SDN satellite network, and the method comprises the following steps: building a distributed SDN satellite network model according to the application background of a large-scale satellite network, and constructing a data stream load balancing routing problem of the large-scale satellite network under the distributed SDN satellite network model; in order to solve the problem of data flow load balancing routing of a large-scale satellite network, a data transmission strategy of a distributed SDN satellite network is adopted, the load balancing effect is achieved, and end-to-end delay is reduced. According to the invention, a distributed SDN satellite network model is established according to the application background of a large-scale satellite network, a data flow load balancing routing problem of the large-scale satellite network is established under the model, and a data transmission strategy based on the distributed SDN satellite network is provided for the optimization problem. According to the strategy, a better load balancing effect and smaller end-to-end delay can be realized.

The invention discloses a 5G + TSN fusion network asynchronous flow optimization scheduling method with high schedulability, which comprises the following steps: S1, in a 5G and TSN fusion network, firstly, a controller of a center collects overall information of the network through a network control protocol, the information comprises channel conditions and frequency resources in the 5G network, and the channel conditions and the frequency resources in the 5G network are transmitted to a server; the communication requirements of the network topology, the link rate and the flow of the TSN network are met; and S2, running an asynchronous traffic optimization scheduling model of the 5G + TSN hybrid network through the central controller, performing routing decision and transmission scheduling on the traffic collected in the previous step in the hybrid network to obtain a scheduling result, and minimizing the consumption of network resources while meeting the transmission requirement of hard real-time traffic. According to the invention, the schedulability of the TSN gateway is obviously improved, the application range of an asynchronous deterministic access mechanism is expanded, and end-to-end traffic scheduling is realized.

Methods and apparatuses are described herein for multiple-access point (multi-AP) sounding procedures in a wireless local area network (WLAN). A coordinating AP (CAP) may receive, from one or more member APs in a multi-AP set (MAPS), one or more indications indicating that the one or more member APs are capable of multi-AP sounding during a transmission opportunity (TXOP). The CAP may transmit a CAP TXOP indication (CTI) frame indicating that the multi-AP sounding is to be performed during a TXOP acquired by the CAP. The CAP may receive a CAP TXOP request (CTR) frame indicating that the one or more member APs of the MAP are willing to perform multi-AP sounding during the TXOP. The CAP may transmit a CAP TXOP AP schedule (CTAS) frame indicating a transmission schedule for one or more sounding frames to be transmitted by the one or more member APs during the TXOP.

The invention relates to the technical field of Internet of Things data management. The electrical equipment management system based on the Internet of Things comprises a hierarchical edge compression module used for performing hierarchical edge compression processing on unstructured data to generate a lightweight data packet; the hierarchical transmission scheduling module is used for performing priority marking and network slice mapping processing on the lightweight data packets to obtain hierarchical transmission data streams; the edge cloud collaboration module is used for carrying out edge-cloud collaboration processing based on the hierarchical transmission data stream to generate structured metadata and a depth analysis result; and the state linkage control module is used for carrying out state linkage management on the electrical equipment according to the structured metadata and the deep analysis result and generating an equipment control instruction so as to solve the problems that the compression efficiency and fidelity of a fixed coding algorithm are unbalanced, network channel priority distribution is rigid and equipment control and data flow dynamic linkage is missing.

The invention provides a flight communication system of a single Beidou module unmanned aerial vehicle and a flight control method thereof, relates to the field of unmanned aerial vehicle communication, and comprises a flight communication scheme and communication maintenance measures. By setting communication stability guarantee measures and a communication safety protection scheme, the operation stability and safety of the communication system can be effectively improved, normal operation of the unmanned aerial vehicle in the aspect of communication can be guaranteed, communication content can be effectively compressed and optimized by setting a communication optimization strategy, and the communication safety of the unmanned aerial vehicle is improved. Meanwhile, in cooperation with transmission scheduling optimization, key safety information, real-time control instruction response and the like of the unmanned aerial vehicle can be well arranged to be transmitted in a high-priority time period to ensure timely delivery, the communication transmission efficiency is ensured, and through the organic combination of a neural network algorithm and a PID control algorithm, the safety of the unmanned aerial vehicle is improved. The unmanned aerial vehicle can deal with various complex flight conditions more intelligently and accurately, and the efficiency and accuracy of route correction are effectively 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 relates to the technical field of audio processing, and discloses a wireless audio data transmission and reading method and audio playing equipment, and the method comprises the steps: carrying out the signal processing of an input original audio signal, obtaining digital audio data, and building a waveform equation; performing parameter optimization to obtain an optimal waveform equation parameter; creating a signal processor and processing to obtain an optimized audio signal; performing data division to obtain a plurality of audio data packets, and solving the transmission optimization model to obtain a transmission scheduling scheme; performing coding processing to obtain a coded audio stream, and performing multi-layer mapping to obtain a multi-layer OFDM (Orthogonal Frequency Division Multiplexing) symbol; the method comprises the following steps: receiving the audio data, performing signal reconstruction processing to obtain a receiving end signal, decoding the receiving end signal to obtain decoded audio data, and recombining the decoded audio data to obtain a reconstructed digital audio signal, thereby improving the wireless audio data transmission and reading performance.

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.

Disclosed in the present application are a data transmission scheduling method, a data transmission scheduling apparatus, an electronic device and a computer-readable storage medium. The method comprises: acquiring the priority of each sequence transmission task, and dividing each sequence transmission task into a priority queue corresponding to the priority thereof; determining a slot that corresponds to each priority queue and is in a current transmission period; and controlling each sequence transmission task to be executed in a slot corresponding to the priority queue to which the sequence transmission task belongs. By means of the solution in the present application, transmission tasks having different priorities can be rationally scheduled.

A method of scheduling data transmission in a radio access network is provided. The radio access network comprises a scheduler configured to orchestrate communication of data between one or more base stations and a plurality of User Equipments, UEs, according to a set of instructions. The method comprises receiving real-time network usage data. The method further comprises dynamically modifying the set of instructions based on the network usage data. The method further comprises implementing the modified set of instructions so that the scheduler is configured to orchestrate communication of data between the one or more base stations and the plurality of UEs according to the modified set of instructions.

The invention relates to the technical field of cloud computing monitoring, in particular to a water consumption monitoring system based on a cloud platform, which comprises a data trend identification module, a water consumption transmission scheduling judgment module, a water consumption interval reconstruction module, a user behavior identification module and a scheduling feedback correction module. According to the method, by introducing a sequence matching strategy of a timestamp and a flow value, the recognition precision of continuous flow change is improved, terminal grouping and amplitude consistency screening are combined, the trend sequence stability is enhanced, short-time fluctuation interference is reduced, extreme value positioning and state segmentation processing are utilized, and multi-level sensing of water volume change is achieved; flow map features are enriched, the time sequence and behavior start-stop information are fused to identify the offset state, the response ability to water consumption mode changes is improved, a dynamic allocation mechanism is constructed through response codes and transmission features, channel resource allocation is optimized, and the data processing and resource response efficiency of the system in an abnormal state is improved.

Methods, apparatus, and systems that enable scheduling of related data transmissions across multiple cells and / or carriers are disclosed. In one example aspect, a method for wireless communication includes processing, by a base station, a first data transmission for a user device on a first serving cell and transmitting, by the base station to the user device, a control message that includes a scheduling information of a second data transmission on a second cell that is different than the first serving cell. The control message indicates whether the second data transmission is a new data transmission or a retransmission of the first data transmission. The method also includes processing, by the base station, the second data transmission for the user device on the second cell according to the scheduling information.

The invention provides a video coding and compression transmission method for intelligent equipment, which belongs to the technical field of video coding and compression transmission, realizes advanced channel quality estimation by establishing a channel prediction model enhanced by a spatial transformation network, configures layered coding parameters according to a prediction result and optimizes motion search in combination with inertial measurement unit data. An optimal coding mode is selected by an application rate distortion optimization algorithm, enhancement layer sending is adjusted according to real-time feedback by adopting a dynamic transmission scheduling strategy, and differential forward error correction protection and a time-space domain error concealment mechanism are matched; the technical problem that video transmission is unstable due to violent fluctuation of channel quality when intelligent equipment moves and works in complex electromagnetic environments such as a transformer substation is solved.

The invention provides an ocean satellite Internet of Things multi-modal data narrow-band transmission scheduling method and device, belongs to the technical field of ocean satellite Internet of Things, and innovatively provides a multi-modal data narrow-band transmission scheduling strategy for challenges of ocean observation equipment in an energy-limited and dynamic satellite channel environment. The core of the method comprises the following steps: constructing a multi-modal data dynamic transmission model, and carrying out data value evaluation based on space-time intelligence; designing a congestion perception and hierarchical congestion control strategy to guarantee data timeliness; the transmission fairness is optimized in combination with the data value weight factor, the PAoI and the Jain fairness index; an energy dynamic evolution model is constructed, and long-term energy revenue and expenditure balance of equipment is guaranteed; based on a deep Q network and imitation learning, in combination with a security reinforcement learning framework, information timeliness, energy consumption and congestion are jointly optimized. According to the method, the deep and far sea observation and detection data transmission time delay, energy consumption and the congestion occurrence rate are remarkably reduced, and the information timeliness and the multi-modal data transmission scheduling fairness are improved.

Methods, systems, and apparatuses may assist scheduling for broadcast and groupcast on new radio Uu interface. In an example, there may be broadcast and groupcast transmission scheduling mechanism with: group based scheduling, UE specific based scheduling, or sub-group based scheduling. In another example, there may be a serving cell configuration for broadcast and groupcast transmission with dedicated cell for broadcast and groupcast, or broadcast and groupcast cell which is shared with the cell for unicast. In another example, there may be downlink control related configuration for broadcast and groupcast transmission with details of the BWP configuration, the CORESET configuration, or the search space configuration.

The described techniques address issues related to compatibility and cost-effectiveness of in-vehicle networks. The described techniques may utilize security Ethernet-based protocols, for example, without the need to exchange separate key agreement messages and, consequently, meet the stringent starting time requirements for real-time control systems. Additionally, a membership tracking solution may be implemented in which each node within a membership group may request, or “challenge” other nodes with the same group to verify their online status, and this online status may be maintained over time. Finally, a transmission queue management process is described that deletes queued messages only when it is determined that every intended recipient node received the message, thereby providing atomicity. Retained queued messages may then be re-transmitted in accordance with a transmission schedule.

A D2D scheduling method in a UAV-based IoT network includes: (a) acquiring a geographical map for all transmission links of a D2D network within a network coverage area; (b) applying the geographical map to a sparse convolution model to extract a feature map; (c) defining the feature map for a time slot t as a state St, and then inputting the feature map to actor and critic networks of a reinforcement learning-based scheduling policy learning model, respectively, and selecting a scheduling decision At for the D2D transmission link based on a scheduling output of the actor network and a greedy strategy; and (d) transmitting the scheduling decision At to the D2D network and then receiving reward when the scheduling decision At is applied by the D2D network, wherein the reward is calculated as a total achievable transmission rate.

A reference signal transmission method includes: determining, at a network entity, a signal configuration of a transmission signal that comprises at least one decoding portion and at least one reference signal portion, where the signal configuration comprises a transmission schedule of the at least one decoding portion and the at least one reference signal portion, where each of the at least one decoding portion comprises decoding information to decode a corresponding one of the at least one reference signal portion, where each of the at least one decoding portion is scheduled in one or more first symbols and the corresponding one of the at least one reference signal portion is scheduled in one or more second symbols, and where none of the one or more first symbols is before any of the one or more second symbols; and transmitting, from the network entity, the transmission signal.

The 1394B bus-based hybrid data stream transmission scheduling system comprises an interface control module, a data carrying module, a data processing module and a control scheduling module, when a short message is sent, the control scheduling module firstly checks whether configuration information of a destination node exists locally or not; if yes, a data processing module, a data carrying module and an interface control module are called to send the short message to a destination node; when a stream message is sent, a control scheduling module firstly checks whether configuration information of a destination node exists locally, and if yes, a data processing module, a data carrying module and an interface control module are called to send handshake information to the destination node; and if the destination node replies the response within the specified time, the scheduling module is controlled to set the sending busy state of the node and send the stream message to the destination node, and after the stream message data is sent, the scheduling module is controlled to clear the sending busy state of the node and clear the handshake mark between the node and the destination node.

The invention discloses a communication method and device, relates to the technical field of communication, and is used for flexibility and efficiency of uplink transmission scheduling antenna port combination. The method comprises: a network device sending a sounding reference signal (SRS) configuration message to a terminal, the SRS configuration message comprising N SRS resources, the N SRS resources comprising a first SRS resource and a second SRS resource; the first SRS resource comprises one or more SRS ports, and the second SRS resource comprises one or more SRS ports; and the network equipment receives an SRS corresponding to the mth SRS port of the first SRS resource and an SRS corresponding to the nth SRS port of the second SRS resource sent by the terminal through the same antenna port, and N, m and n are positive integers.

The present application relates to the technical field of transmission scheduling in the industrial Internet, and discloses a trusted scheduling method and apparatus for a dynamic blockchain-based industrial wireless network. The method comprises: constructing a dynamic blockchain mechanism-based industrial wireless network system; on the basis of preset constraint conditions respectively corresponding to a scheduling stage and a consensus stage, performing model construction with the goal of maximizing the trusted processing efficiency of tasks, and obtaining an optimization model, the optimization model carrying parameters to be optimized; on the basis of a preset multi-agent Markov decision process model, performing model reconstruction on the optimization model, and obtaining a target optimization model; and, on the basis of observation information acquired in real time of each industrial device in the industrial wireless network system, using a preset rotation multi-agent deep reinforcement learning algorithm model to optimize the target optimization model, and obtaining a target parameter value corresponding to each parameter to be optimized. The method of the present application improves the trusted processing efficiency of tasks in an industrial wireless network system.

The embodiment of the invention provides a wide-area scheduling method, device and system for task requests, a medium and a program product, and relates to the technical field of task scheduling. The method comprises the following steps: receiving a data processing task request; analyzing the task request to obtain an inter-task dependency relationship of at least one task corresponding to the task request and a demand of each task; obtaining resource state data, wherein the resource state data comprises a global data resource view and a global physical resource view; formulating a calculation task scheduling strategy considering data locality and a single collaborative flow transmission scheduling strategy according to the dependency relationship between the tasks and the demand and resource state data of each task; and according to the initial bandwidth and the minimum communication time of all the collaborative flows, transmission rescheduling optimization of the multiple collaborative flows is executed, and all the collaborative flows comprise the collaborative flows which are currently executed and the collaborative flows corresponding to the task request. According to the embodiment of the invention, the data task processing performance and the multi-dimensional resource utilization rate are improved.

The present application relates to the technical field of communications. Provided are a scheduling request (SR) method, and a communication apparatus. The method comprises: a network device sending first configuration information, which comprises a group identifier of a first terminal device group, and resource indication information, wherein the resource indication information indicates a resource set that is allocated to the first terminal device group for transmitting an SR signal; and the network device receiving, on some or all resource sets, an SR signal sent by one or more terminal devices in the first terminal device group. On the basis of the method described in the present application, the reduction of overheads of SR resources is facilitated.

Deterministic network architecture and working method for intelligent applications are provided. Generalized service layer obtains task parameters of computing task generated by large model of intelligent application during training, deployment, or inference stage. Mapping adaptation layer determines resource orchestration scheme based on task parameters and determines transmission scheduling scheme based on resource orchestration scheme. Resource orchestration scheme includes target computing domain for completing computing task, and computing resources, storage resources, and communication resources allocated to computing task from target computing domain. Transmission scheduling scheme includes time slots and communication resources for transmitting computing task to target computing domain. Converged network layer transmits computing task to target computing domain based on transmission scheduling scheme. This architecture converges communication resources with computing resources to support co-scheduling of large models, and synchronously designs resource orchestration scheme and transmission scheduling scheme, to prevent transmission scheduling complications caused by new data traffic.

The invention relates to a physical layer security-oriented double-unmanned aerial vehicle three-dimensional trajectory optimization method, in particular to an optimization method based on a security data collection system assisted by double unmanned aerial vehicles. Firstly, an optimization problem is constructed to maximize the total achievable secrecy rate of the system, and three-dimensional trajectory design of the unmanned aerial vehicle, interference power interfering the unmanned aerial vehicle, transmission power of ground equipment and transmission scheduling are involved. In consideration of existence of an air eavesdropper, an approximate lower bound is adopted to simplify a solving process of a non-convex optimization problem. Thirdly, an original problem is decoupled into four sub-problems through a BCD method, and each sub-problem is converted into a manageable convex optimization problem through introduction of slack variables and a gradual convex approximation method; a numerical result verifies the effectiveness of the proposed algorithm in various scenes, and shows that the average secrecy rate of a data collection system can be remarkably improved by the three-dimensional trajectory design of the unmanned aerial vehicle.

The invention provides an STAR-RIS assisted transmission scheduling method for a high-speed rail millimeter wave communication system. The method comprises the following steps: constructing an STAR-RIS-assisted high-speed railway millimeter wave communication system model in the SAGIN, and setting a channel modeling and train moving model of a link in the model; the method comprises the following steps of: setting a target function of a transmission scheduling problem of completing the total number of streams to the maximum extent by considering the movement of a train, signal to interference plus noise ratio constraint, QoS (Quality of Service) requirements of the streams, channel change and a scheduling sequence of the streams; solving the objective function through a coalition game algorithm, and obtaining the total number of successfully scheduled streams in all the unites; and performing priority ranking on all successfully scheduled flows according to the QoS requirements of the flows through a flow scheduling algorithm. According to the method disclosed by the invention, the communication quality of the STAR-RIS assisted high-speed rail train-ground millimeter wave communication system is improved by optimizing inter-flow interference and flow scheduling, the system can be ensured to efficiently work in a complex multi-source interference environment, and the ever-increasing QoS demand of high-speed rail communication is met, so that the ever-increasing QoS demand in the high-speed rail communication is met.