294 results about "Transmission scheduling" patented technology

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 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.

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 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.

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.

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.

There is provided a method for handling scheduling information in a network. The method is performed by a network node (10) of the network. The method comprises determining (602) a number of one or more occasions to be configured for one or more wireless devices (20) of the network in a random access (RA) scheduling interval. The method also comprises initiating (604) transmission of scheduling information towards a first wireless device (20) of the one or more wireless devices (20). The scheduling information is configured to be used by the first wireless device (20) to perform a RA procedure with the network node (10) in at least one occasion of the one or more occasions.

The invention discloses a train multi-mode wireless access terminal and a multi-path data transmission scheduling method. The train multi-mode wireless access terminal integrates multi-system communication modules such as LTE-M, Wi-Fi, 5G, GSM-R and the like, configures various priorities for data through the main control unit, allocates default and standby bearer networks, and dynamically monitors network connection quality parameters to judge transmissibility, trigger switching logic and regulate and control QoS (Quality of Service) levels. The multi-path data transmission scheduling method comprises the steps of configuring a data priority and a network, monitoring a network state, executing transmission control based on the priority, and switching back to transmission after a default network is recovered. According to the invention, the problems of complex deployment, low flexibility and low reliability of a wireless communication module of an existing rail transit vehicle are effectively solved, and high-reliability and flexible data transmission and interconnection and intercommunication with a railway system in a multi-network environment are realized.

The invention discloses a data processing method and device, electronic equipment and a nonvolatile storage medium. The method comprises the steps that a technological process corresponding to an industrial machining task is determined, and the technological process comprises multiple machining procedures; a first parameter value corresponding to the machining procedure is determined, and the first parameter value is used for representing the importance degree of the machining procedure; determining industrial data corresponding to the processing procedure, and determining historical congestion times of the industrial data; the priority of the industrial data corresponding to the processing procedure is determined according to the first parameter value and the historical congestion frequency corresponding to the processing procedure, transmission scheduling is carried out on the industrial data according to the priority in the execution process of the industrial processing task, and the larger the first parameter value is, the higher the priority is, the larger the historical congestion frequency is, and the higher the priority is. According to the method and the device, the technical problem that the increasingly complicated intelligent industrial scene requirement is difficult to meet by a mode of carrying out industrial data communication scheduling through a fixed rule in the related technology is solved.

Methods and apparatus are provided for configuring a dynamic hybrid automatic repeat request acknowledgement (HARQ-ACK) codebook for a network-controlled repeater (NCR). A first HARQ-ACK group is configured for physical downlink control channel (PDCCH) transmissions from a base station to the NCR. The PDCCH transmissions include first side control information. A second HARQ-ACK group is configured for scheduled physical downlink shared channel (PDSCH) transmissions from the base station to the NCR. The scheduled PDSCH transmissions include second side control information. A third HARQ-ACK group is configured for downlink (DL) channels or signals from the base station for the NCR to forward to a user equipment (UE). The dynamic HARQ-ACK codebook includes a combination of the first HARQ-ACK group, the second HARQ-ACK group, and the third HARQ-ACK group.

The invention relates to the technical field of data processing, and discloses a communication unit data transmission optimization method and system for large-scale electric energy data. The method comprises the steps that electric energy data features are extracted through a space-time correlation analysis algorithm, and an electric energy data time sequence dependency matrix and a space correlation matrix are constructed; constructing an EQ-learning intelligent scheduling model based on the matrix, and generating a Q value decision table fused with power grid constraints; performing multi-communication-unit path selection by applying the decision table to obtain an optimal transmission path set; a P-DPDK processor is adopted to realize multi-network card concurrent transmission; and performing dynamic load balancing adjustment according to the transmission result, and optimizing the electric energy data transmission performance. According to the invention, the problem that the electric energy data lacks intelligent transmission scheduling and dynamic resource configuration of spatial-temporal correlation perception in the prior art is solved, and the real-time performance, the reliability and the resource utilization efficiency of large-scale electric energy data transmission are improved.

Embodiments of the subject application relate to methods and apparatuses of an enhanced transmission on a preconfigured resource for extended reality (XR) traffic. According to an embodiment of the subject application, a user equipment (UE) includes a processor and a transceiver coupled to the processor; and the processor is configured to: determine to skip a physical uplink share channel (PUSCH) resource for an uplink (UL) data transmission within one or more configured grants (CG)s or a bundle of CG or a subset of the bundle of CG in response to fulfillment of a set of conditions, wherein the set of conditions include at least one of: upon reception of a dynamic UL grant (DG), wherein the DG is in a time window of the bundle of CG or the bundle of CG follows the DG; upon reception of the DG and upon transmission on at least one PUSCH resource on the DG; upon transmission over a PUSCH resource within the bundle of CG; upon transmission of a scheduling request (SR) over a first physical uplink control channel (PUCCH) resource ahead of the bundle of CG; or upon transmission of all available data for transmission over one or more PUSCII resources within the bundle of CG; upon reception of a second DG, wherein the second DG overlaps with a CG within the one or more CGs; upon reception of the second DG and upon transmission on at least one PUSCH resource on the second DG; upon transmission over a PUSCII resource in a CG within the one or more CGs; upon transmission of a SR over a PUCCII resource ahead of a CG within the one or more CGs; upon transmission of all available data for transmission over one or more PUSCH resources in the one or more CGs; or upon reception of a cancel indication of the bundle of CG or the one or more CGs.

The invention discloses a multi-objective optimization method and device for cross-cloud data transmission scheduling, and relates to the technical field of cloud computing and network optimization. The problems that in the prior art, due to single-target optimization, multiple requirements for transmission efficiency, cost effectiveness and system stability are difficult to meet, and a transmission path and a scheduling strategy cannot be dynamically adjusted are solved. Then, after multi-scale data feature extraction, multi-scale feature decomposition and abnormal data processing are sequentially carried out on the stationary data, an efficient, stable and intelligent cross-cloud data transmission scheduling scheme is generated by combining ant colony algorithm global search, neighborhood search local optimization and asynchronous reinforcement learning technologies, multi-target collaborative optimization can be achieved, and the scheduling efficiency is improved. And meanwhile, a plurality of transmission performance indexes such as transmission delay, bandwidth utilization rate, transmission cost and load balance are balanced, so that the balance between the transmission efficiency and the resource utilization rate is realized.

The invention relates to the technical field of vacuum insulation manufacturing of liquid hydrogen storage and transportation equipment, and discloses a liquid hydrogen spherical tank vacuumizing and filtering multi-parameter cooperative control method and system, and the method comprises the steps: obtaining the temperature, vacuum degree and vibration monitoring data in a liquid hydrogen spherical tank, and space coordinates of the data; calculating a vacuum degree mean value and a vibration intensity mean value of each partition, and generating a multi-physical field heterogeneous partition topological structure; extracting a physical field coupling factor matrix by using a tensor decomposition algorithm, and identifying a dominant coupling relationship between physical fields; and scheduling the multi-parameter monitoring data to be transmitted in a shallow fading period according to the partition period quality label matrix, completing issuing of a scheduling cooperative control instruction before deep fading arrives, and outputting the control instruction to an execution mechanism. The overall performance and safety of the liquid hydrogen spherical tank vacuumizing and filtering multi-parameter cooperative control system are improved under the extreme environment of coupling influence of multiple physical fields such as a temperature field, a vacuum degree field and a vibration field.

Disclosed are techniques for wireless communication. In an aspect, a network entity determines a pattern of time gaps in an ultra-wideband (UWB) transmission schedule for a plurality of UWB anchor nodes operating over a UWB channel, and schedules cellular transmissions for one or more user equipments (UEs) during the pattern of time gaps in the UWB transmissions schedule.

A wireless device may receive one or more configuration parameters, of a cell, for physical downlink control channel (PDCCH) monitoring. The one or more configuration parameters may indicate a time duration of a span of one or more symbols for the PDCCH monitoring, and a time gap between two consecutive spans. The wireless device may determine a buffering time offset, for buffering data scheduled by a PDCCH transmission, based on the time gap and a subcarrier spacing of the cell. The wireless device may receive, in a first radio resource, downlink control information (DCI) scheduling a transport block (TB) in a second radio resource. The wireless device may drop the TB in response to a duration, in time, between the first radio resource and the second radio resource being less than, or equal to, the buffering time offset.

The invention discloses an unmanned aerial vehicle high-definition image transmission scheduling system for 5G millimeter wave communication, and belongs to the technical field of unmanned aerial vehicle communication. Comprising an unmanned aerial vehicle end, a ground station end and a 5G millimeter wave communication network. The unmanned aerial vehicle end comprises an image acquisition module, a data processing module, a 5G millimeter wave communication module, a flight control module and an edge calculation module, and the ground station end comprises a 5G millimeter wave communication module, a data receiving and resolving module, an image transmission scheduling module, a display module and an edge server. Through fusion of 5G-A millimeter wave communication and radar sensing, a'communication-sensing-control 'closed loop is realized for the first time, and compared with the prior art, a remarkable breakthrough is made in the aspects of environment sensing and communication cooperation. Local real-time processing is achieved through the edge nodes, model training and global optimization are conducted on the cloud, and compared with a traditional centralized architecture, time delay is reduced by 60%. Through combination of block chain authentication and frequency hopping technologies, an end-to-end secure transmission channel is constructed, and the anti-interference capability is improved by 50% compared with that of independent use of AES-256.

The invention provides a distributed image transmission scheduling system for a multi-unmanned aerial vehicle formation, and aims to improve the stability and timeliness of large-scale unmanned aerial vehicle collaborative image acquisition and transmission. The system comprises an information acquisition module, a role determination module and the like. The information acquisition module acquires the electric quantity, communication state, cache occupation, historical fluctuation and position information of each unmanned aerial vehicle, and generates a node state data table and a path robustness reference table; the role determination module selects a main node and a candidate node based on the state data, and generates a role allocation table; the task distribution module divides an image acquisition area into sub-areas and generates a task assignment list in combination with node space distribution and a historical shooting success rate; the path generation module constructs a shortest path and a robust path for each image task and generates a path data table; and the scheduling generation module generates an image sending time schedule by scattering task time slots or switching paths according to a path conflict detection result, so that efficient and fault-tolerant data scheduling control is realized.

The invention relates to the technical field of software upgrading control, in particular to a new energy automobile communication controller software upgrading method and system. The method comprises the following steps: acquiring vehicle-mounted load current data; performing temperature compensation according to the vehicle-mounted load current data to obtain a compensation battery power consumption feature vector; performing dormancy period prediction and power consumption scheduling on the vehicle based on the compensation battery power consumption feature vector to obtain a dormancy period transmission scheduling reference; obtaining an original software upgrade package; constructing a functional unit dependency graph based on the original software upgrade package; and fragmenting the original software upgrade package according to the sleep period transmission scheduling reference and the functional unit dependency graph to obtain a fragmented upgrade package. According to the method, the problems of power consumption, transmission interruption and fault risks during software upgrading of the communication controller of the new energy automobile in the deep dormant state are solved, and the reliability and stability of software upgrading are remarkably improved.

The invention discloses a data transmission method based on low-delay optimization, which comprises the following steps of data preprocessing, data classification, partitioning, compression and encryption preprocessing operation, transmission scheduling, multi-path selection, priority scheduling and flow shaping function realization, network transmission, actual data packet sending and receiving processing and basic transmission control. According to the data transmission method and system based on low-delay optimization and the computer readable storage medium, through real-time network awareness and machine learning technologies, the system can dynamically adjust a transmission strategy and adapt to diversified network environments, and the data transmission efficiency is improved. And a multi-dimensional priority model and an intelligent scheduling algorithm ensure that key data obtains an optimal transmission path and resources.

The invention is suitable for the technical field of intelligent warehouse management, and provides a transmission scheduling method and system based on intelligent warehousing, and the method comprises the steps: determining a scheduling device for carrying out the transmission scheduling of a target object, obtaining an initial task priority index generated for the target object according to a task requirement, and obtaining a historical operation record of the scheduling equipment. According to the method, the specified object type similar to the target object in physical property is selected as the reference standard, so that the analysis of the current fluctuation characteristic data is more contrasted. According to the technical scheme, the selection of the specified loading type, especially the consistency in weight or volume, ensures that the equipment state can be maintained in a relatively stable standard state when the dispatching equipment processes similar cargoes, thereby improving the accuracy and reliability of the dispatching system for evaluating the equipment state.

Certain aspects of the present disclosure provide techniques for initial access with licensed-to-unlicensed frequency-translating network controlled repeaters (FT-NCRs). A method for wireless communication by a user equipment (UE) includes receiving a synchronization signal (SS) burst from a repeater on an unlicensed frequency band associated with an unlicensed synchronization raster. The SS burst includes an SS block (SSB) and a physical broadcast channel (PBCH) carrying a master information block (MIB) indicating an initial control resource set (CORESET) via a mapping associated with the unlicensed frequency band. The method includes monitoring the initial CORESET based on the MIB and the mapping associated with the unlicensed frequency band for a physical downlink control channel (PDCCH) transmission scheduling a physical downlink shared channel (PDSCH) transmission carrying an initial system information block (SIB) associated with a serving cell that uses a licensed frequency band associated with a licensed synchronization raster.

The invention discloses a self-adaptive compression and lossless fast transmission method and system for high-frequency test data. The method comprises the following steps: extracting multi-dimensional dynamic feature vectors from high-frequency test data in real time and marking feature points; based on the features, the network bandwidth and the target compression ratio, dynamically selecting a compression algorithm combination and parameters through a pre-training decision model; performing data framing and typed preprocessing according to the algorithm combination; compression is executed through a multi-stage assembly line, and a correction link based on statistical characteristics is inserted between stages; constructing a three-dimensional transmission state matrix fusing priorities, links and quality scores, dynamically allocating links and adaptively adding forward error correction codes; and after error correction and decompression of a receiving end, realizing lossless verification through multi-dimensional comparison of feature point sequences of the reconstructed data and the original data. According to the method, the whole-course self-adaption of the compression strategy and the transmission scheduling is realized, and the lossless and reliable recovery of the data is ensured while the compression and transmission efficiency is improved.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a network node may identify, based on a schedule of upcoming transmissions in a cell served by the network node, an upcoming intra-cell interference scenario between a first user equipment (UE) and a second UE. The network node may transmit, to the first UE, an interference indication that indicates the first UE is to perform at least one of: null steering, altering a transmission beam of the first UE, or altering a reception beam of the first UE. Numerous other aspects are described.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may identify an overlap between a New Radio (NR) transmission and a dedicated short-range communication (DSRC) transmission. The UE may obtain one or more rules for prioritizing the NR transmission or the DSRC transmission based at least in part on the overlap. The UE may transmit at least one of the NR transmission or the DSRC transmission based at least in part on the prioritization rules. Numerous other aspects are described.