325 results about "Cell scheduling" patented technology

Systems, apparatuses, methods, and computer-readable media are provided for dynamic hybrid automatic repeat request (HARQ)-acknowledgement (ACK) feedback for multi-cell scheduling (e.g., a downlink control information (DCI) that schedules physical downlink shared channels (PDSCHs) and / or physical uplink shared channels (PUSCHs) on multiple cells). Embodiments may include techniques to determine a downlink assignment index (DAI) and / or a HARQ-ACK codebook, e.g., a Type-1. Type-2, and / or Type-3 codebook, for multi-cell scheduling. Other embodiments may be described and claimed.

Example embodiments of the present disclosure relate to methods, devices, and computer storage medium for communication. A terminal device performs a first size alignment of a pair of DCI formats for multi-cell scheduling if a total number of DCI sizes configured to monitor a PDCCH is greater than a predefined number after a plurality of size alignments of a plurality of pairs of DCI formats for single-cell scheduling; and monitors the PDCCH from a network device based on the first size alignment. As such, an order for DCI size alignments may be determined and the total number of DCI sizes may be limited. The DCI formats for multi-cell scheduling may be aligned after size alignments of DCI formats for signal-cell scheduling, thus the blind detection complexity may be reduced and the detection performance may be improved.

The embodiment of the invention provides a processing unit scheduling device and method, a chip and related equipment, the processing unit scheduling device comprises a first arbiter and M processing units connected with the first arbiter, and M is a positive integer greater than or equal to 2; wherein each processing unit is used for sending a first request signal to the first arbiter, the first request signal is used for requesting to switch the corresponding processing unit from a first power consumption state to a second power consumption state, and the power of the first power consumption state is lower than that of the second power consumption state; the first arbiter is used for receiving first request signals respectively sent by one or more of the M processing units, and arbitrating to obtain a first response sequence of the one or more first request signals; and controlling the one or more processing units to switch from the first power consumption state to the second power consumption state based on the first response sequence. By implementing the embodiment of the invention, the phenomenon of functional errors of the circuit caused by voltage undershoot can be reduced, and the circuit performance is improved.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive downlink control information (DCI) associated with a DCI format for shared channel scheduling on a set of cells, wherein the DCI is associated with a cell radio network temporary identifier (C-RNTI) and a configured scheduling radio network temporary identifier (CS-RNTI). The UE may decode the DCI to identify a scheduling on the set of cells or to identify downlink feedback information (DFI) based at least in part on a determination of whether the C-RNTI or the CS-RNTI satisfies a cyclic redundancy check (CRC). Numerous other aspects are described.

An apparatus of a New Radio (NR) Node B (gNB), a method, and a storage medium. The apparatus is to identify a downlink control information (DCI) size budget related to a DCI format for multi-cell scheduling; generate a physical downlink control channel (PDCCH) transmission to schedule, in a plurality of cells, shared channel (SCH) transmissions, the PDCCH transmission including an indication of the DCI size budget; and send the PDCCH transmission for transmission to a User Equipment (UE) within a scheduling cell of the plurality of cells.

The invention discloses a GPU server cluster system and a GPU scheduling method, and relates to the field of data processing. The system comprises a plurality of GPU service nodes, a data transmission unit, a task segmentation unit, a GPU scheduling unit and a data processing unit. The data transmission unit is used for acquiring a to-be-processed video image data set; the task segmentation unit is used for generating a video image processing task and segmenting a plurality of subtasks; the GPU scheduling unit is used for determining load performance scores according to the load performance parameters, sorting the GPU service nodes from high to low based on the load performance scores, determining a target GPU node and distributing subtasks; the target GPU node is used for executing the subtask to obtain processed partial video image data; and the data processing unit is used for merging to obtain a processed video image data set, sending the processed video image data set to the data demand end, and sending video image processing task completion information to the GPU scheduling unit. The GPU computing power can be effectively scheduled, and the performance of the GPU server cluster is improved.

The invention relates to the technical field of source network load storage multi-objective optimization scheduling, in particular to a source load storage scheduling method and device considering energy storage life, electronic equipment and a storage medium. A particle swarm optimization algorithm adopting sine adaptive inertia weight is provided, scheduling plans of all units can be arranged, preference solutions approaching optimal values of all targets can be found more efficiently, various resources in the power distribution network can be utilized more fully, and the optimization effect is the best. According to the method, the optimal scheduling model of the active power distribution network is comprehensively established, indexes such as maintenance resource consumption of the power distribution network, energy storage life loss, scheduling resource consumption of a load aggregator and network loss of the power distribution network are analyzed, energy storage resource calling resource consumption can be greatly reduced, the service life of the system is prolonged, and the system performance is improved. And the optimization scheduling efficiency of the power distribution network is effectively improved.

A method for acknowledgement information enhancement includes receiving first information for first cells; second information for second cells; first and second DCI formats; and N PDSCHs on N cells, from the second cells, which are scheduled by a DCI format from the second DCI formats. The method further includes determining first HARQ-ACK information bits associated with the first DCI formats and second HARQ-ACK information bits associated with the second DCI formats. The second HARQ-ACK information bits include, for the DCI format, M=Σi∈N Mi HARQ-ACK information bits corresponding to receptions of the N PDSCHs on N cells, in ascending order of cell indexes for the N cells and (Mmax−M) HARQ-ACK information bits with NACK values that are appended to the M HARQ-ACK information bits. The method further transmitting a channel that includes a HARQ-ACK codebook generated by appending the second HARQ-ACK information bits to the first HARQ-ACK information bits.

A wireless device receives downlink control information (DCI) indicating an entry of a transmission configuration indication (TCI) table for a plurality of cells. A TCI index in the entry indicates a first TCI state associated with a first control resource set (coreset) pool index and a second TCI state associated with a second coreset pool index. The wireless device receives, via a cell and using a TCI state among the first TCI state and the second TCI state, a physical downlink shared channel (PDSCH) reception scheduled by the DCI based on the cell being associated with two control resource set (coreset) pool indexes.

A method and apparatus are disclosed from the perspective of a network in a wireless communication system. In one embodiment, the method includes the network configuring a User Equipment (UE) with cross-carrier scheduling, wherein the network transmits Physical Downlink Control Channel (PDCCH) on a first cell scheduling a second cell. The method further includes the network configuring the UE with PDCCH repetition on two search spaces of the first cell. In addition, the method includes the network being allowed to configure the UE with PDCCH repetition on two search spaces of the second cell only if two search spaces of the first cell, having same search space identities as the two search spaces of the second cell, have been configured with PDCCH repetition.

The present disclosure relates to wireless communications, a network device determines a downlink control information (DCI) format for multi-cell scheduling transmissions in a set of cells, where determining the DCI format comprises determining at least one size of at least one DCI field of the DCI format. The network device transmits DCI with the DCI format to schedule transmissions for at least one cell in the set of cells. Furthermore, the user equipment receives a radio resource control (RRC) configuration for determining a DCI format for multi-cell scheduling transmission in the set of cells, and receives DCI having the DCI format for scheduling transmission for at least one cell in the set of cells.

A method by which a UE receives a signal, according to an embodiment, may comprise: receiving, through higher layer signaling, a configuration related to multi-cell scheduling; and on the basis of the configuration related to the multi-cell scheduling, receiving downlink control information (DCI) for the multi-cell scheduling, wherein the DCI includes a first field commonly configured for scheduled cells, codepoints of the first field are associated with a plurality of first entries, each of which is configured with a parameter combination for multiple cells, and for the first entry associated with the first codepoint acquired via the first field as the result of receiving the DCI, the UE may determine, on the basis of a bandwidth part (BWP) information field of the DCI, the parameter combination configured for the first entry.

Methods and apparatuses for multi-cell scheduling with reduced control overhead. A method for receiving physical downlink control channels (PDCCHs) includes receiving information for a first group of N1 cells and for a second group of N2 cells, determining a total number of PDCCH receptions in a slot on a scheduling cell based on N1 and on a ratio of N2 over M, and receiving a number of PDCCHs in the slot on the scheduling cell that is not larger than the total number. A PDCCH provides a downlink control information (DCI) format. The DCI format schedules one of: a physical downlink shared channel (PDSCH) reception, or a physical uplink shared channel (PUSCH) transmission, on one cell from the first group of N1 cells, or PDSCH receptions, or PUSCH transmissions, on a number of cells up to a maximum of M cells from the second group of N2 cells.

The invention relates to the technical field of intelligent wharfs, in particular to a wharf container truck dynamic optimization scheduling method and system combining machine learning and path planning. Comprising a behavior data acquisition and feature coupling unit; a learnable incentive and behavior guide unit; a scheduling demand prediction unit; and a path planning and scheduling unit. According to the method, on the basis of the coupling characteristics, the excitation coefficient is optimized through reinforcement learning, the excitation instruction is dynamically pushed, and targeted guidance of the non-operation staying behavior of the container truck is achieved; according to the method, based on standardized time series data, an association rule of a historical staying period and a working condition is learned through an LSTM model, a prediction result is optimized in combination with real-time data, a prospective constraint basis is provided for scheduling, and meanwhile, a time, space, resource and priority multi-dimensional path constraint system is constructed through a structural causal model; container truck-berth matching and dynamic path planning are completed by matching with an improved A * algorithm fused with dynamic weights, and scheduling conflicts are effectively avoided.

The embodiment of the invention provides a method for transmitting a control channel and a communication device, relates to the technical field of communication, and can reduce the receiving complexity when terminal equipment uses two-stage DCI (Downlink Control Information) to perform cell scheduling. According to the specific scheme, the method comprises the following steps: receiving indication information, wherein the indication information is used for indicating a first physical downlink control channel candidate PDCCH (Physical Downlink Control Channel) candidate set; receiving first downlink control information (DCI); and monitoring a second DCI (Downlink Control Information) on a second PDCCH (Physical Downlink Control Channel) candidate set, the second PDCCH candidate set being determined according to the first DCI, and the second PDCCH candidate set belonging to the first PDCCH candidate set. The embodiment of the invention is used for the process of transmitting the control channel.

The invention discloses a hydraulic engineering scheduling simulation system based on digital twinning, and relates to the technical field of hydraulic engineering scheduling, the hydraulic engineering scheduling simulation system comprises an acquisition component, a processing component, an analysis component and a scheduling simulation component, the analysis component comprises an ecological analysis unit, a collaborative scheduling unit and a dynamic scheduling management unit, and the scheduling simulation component performs linkage simulation, simulation scene setting, multi-dimensional verification and an exception handling mechanism. Multi-dimensional ecological parameters are integrated through the ecological analysis unit, ecological health is comprehensively and quantitatively evaluated to fill up the limitation of a single index, and multi-target parameters such as flood control and power generation are integrated through the collaborative scheduling unit and converted into unified priority to solve the problem of fuzzy scheduling targets. And the dynamic scheduling management unit integrates multiple detail parameters to generate an accurate and adaptive instruction, so that the execution effect is ensured, and the hydraulic engineering scheduling simulation system has excellent practicability.

The invention relates to the technical field of energy scheduling, and discloses a centralized smart energy load regulation and control system based on a public building, which comprises a power supply unit, a central control unit, a data acquisition unit, a scheduling execution unit and an equipment classification unit, the central control unit comprises a data processing module and an energy consumption demand prediction module. By classifying the equipment and evaluating the energy efficiency, the energy consumption characteristics and efficiency levels of different equipment can be clearly known, an accurate regulation and control strategy can be formulated for each category, the equipment with low energy efficiency can be emphatically optimized, the overall energy utilization efficiency can be improved, demand prediction is carried out by virtue of previous energy consumption data, the regulation and control are more prospective, and the energy efficiency of the equipment is improved. The energy consumption trend of different time periods and seasons can be predicted in advance, so that excessive investment on electric power infrastructures is avoided, the electric power cost is saved, limited electric power resources are preferentially allocated to key equipment and important areas, and optimal allocation of the resources is realized.

The invention provides a relay communication scheduling method and device, equipment, a storage medium and a program product, and relates to the field of communication, and the method comprises the steps: obtaining a feasible track point set and a scheduling combination unit corresponding to each feasible track point according to the flight state and perception range of a first UAV after receiving a task instruction, the scheduling combination unit comprises a feasible track point, a main satellite and a task set; k candidate path segments are selected based on the feasible track point set, and each candidate path segment comprises L feasible track points; for each feasible track point in the kth candidate path section, comprehensively scoring the feasible track points according to the accumulated flight overhead and the scheduling combination unit of the kth candidate path section, and taking the feasible track point with the highest score as a target track point; after the first UAV flies to the target track point, tasks in a task set corresponding to the target track point are executed based on a link between the first UAV and the main satellite; therefore, the link continuity is ensured.

A method by which a UE receives a signal, according to an embodiment, may comprise: receiving, through higher layer signaling, a configuration related to multi-cell scheduling; and on the basis of the configuration related to the multi-cell scheduling, receiving downlink control information (DCI) for the multi-cell scheduling, wherein the DCI includes a first field commonly configured for scheduled cells, codepoints of the first field are associated with a plurality of first entries, each of which is configured with a parameter combination for multiple cells, and for the first entry associated with the first codepoint acquired via the first field as the result of receiving the DCI, the UE may determine, on the basis of a bandwidth part (BWP) information field of the DCI, the parameter combination configured for the first entry.

The invention discloses a workpiece production and manufacturing execution management system based on a dynamic scheduling algorithm, which comprises a data monitoring unit, a central processing unit, a scheduling management unit and a quality feedback unit, and is characterized in that the data monitoring unit is used for monitoring production line data of workpiece tasks, collecting workpiece production parameters and equipment management parameters and sending the workpiece production parameters and the equipment management parameters to the central processing unit; the central processing unit carries out data processing, constructs a dynamic scheduling model to improve the comprehensiveness and comprehensiveness of data processing, analyzes and evaluates the real-time priority of workpiece tasks through the model, generates a real-time scheduling signal, receives workpiece production quality feedback, and predicts the risk in combination with equipment. According to the method, the prediction priority of the workpiece tasks is analyzed and evaluated, prediction management signals are generated, then the signals are received through the scheduling management unit, scheduling management is carried out, through two-stage refined real-time scheduling, the pertinence and scheduling efficiency of dynamic scheduling of the workpiece tasks are improved, and therefore the workpiece production quality is improved, and stable workpiece production is guaranteed.

A terminal includes: a control unit configured to expect that there are a scheduling cell and a scheduled cell in multi-cell scheduling; and a reception unit configured to receive control information from the scheduling cell. The reception unit receives a plurality of scheduled cells based on the control information, and the control unit expects that there is a restriction related to a configuration between the scheduling cell and the scheduled cell or between the plurality of scheduled cells.

The invention relates to the field of sparse matrix calculation, and discloses a sparse calculation unit, method, device and medium under a GPGPU architecture, the sparse calculation unit comprises a sparse matrix operation unit arranged in a streaming multiprocessor, and the sparse matrix operation unit is connected with a transmitting module and a write-back module; the sparse matrix operation unit comprises a selector, an algorithm module, an accumulator and a plurality of second buffer modules; the sparse matrix operation unit is used for calculating the sparse matrix; a calculation algorithm is stored in the algorithm module and used for calculating matrix elements, and the calculation algorithm comprises an improved SPGEMM algorithm and an addition algorithm; and the memory access unit scheduling module is connected with the plurality of streaming multiprocessors and is used for coordinating and scheduling the memory access units on the plurality of streaming multiprocessors. And the sparse matrix calculation unit is added, so that the processing capability of the GPGPU on the sparse matrix is improved, and the operation speed of the GPGPU on the sparse matrix calculation task is improved.

The invention discloses a method and an apparatus in a node used for multi-cell scheduling of wireless communication. A node firstly receives a first information block and a second information block; then receiving a first DCI (Downlink Control Information), the first DCI scheduling a first cell set, the first cell set comprising a plurality of cells; the first DCI comprises a first domain, interpretation of the first domain included in the first DCI depends on a target information block, and the target information block is one of the first information block or the second information block; whether the target information block is the first information block or the second information block depends on whether subcarrier intervals adopted by active BWPs corresponding to all cells included in the first cell set are the same or not. According to the invention, uplink and downlink transmission configuration under multi-cell scheduling is enhanced, and the performance is improved.

Disclosed in the embodiments of the present disclosure are a method and apparatus for determining location information of a control resource, which can be applied to a communication sy stem. When executed by means of a terminal, the method comprises: according to a specified offset value, determining location information of a control resource that corresponds to control information to be detected, wherein the control information is used for scheduling a multi-cell or multi-carrier data transmission. By implementing the method in the present disclosure, a terminal can effectively realize accurate detection of control information for multi-cell scheduling, thereby reducing the probability of congestion of control information on different cells or carriers.

The invention discloses a voltage regulation controller with a line protection function, and relates to the technical field of power electronic control. The problems of bypass / voltage regulator self-excitation switching, operation refusing and protection mismatching caused by a single-end voltage threshold in the prior art are solved. Comprising a first sampling unit, a second sampling unit, a first characteristic unit, a second characteristic unit, a first criterion unit, a second criterion unit, a scheduling unit, an execution unit and a closed loop unit. A dynamic criterion set is constructed, segmented priority scheduling and two-stage execution are driven through a multi-end contribution vector, and self-adaptive correction is conducted through residual current and arc light indexes in a closed loop; according to the invention, the action selectivity and the low-current fault detection reliability are remarkably improved.

According to at least one of various embodiments, UE may receive, via a PDCCH, DCI including at least one FDRA field and at least one MCS field and transmit an HARQ-ACK codebook on the basis of the DCI. The DCI may support multi-cell scheduling on the basis of a plurality of cells configured in the UE, and on the basis that a first FDRA field for a first cell, included in the DCI is set, for the first cell, to a specific value other than a valid FDRA value, an index of the HARQ-ACK codebook may be determined via a first MCS field for the first cell, included in the DCI.

The invention relates to the technical field of subway line scheduling, and discloses a subway line intelligent scheduling optimization system based on real-time data analysis, which comprises a data acquisition unit, a data processing analysis unit, a scheduling decision execution unit, a user interface display unit and a data storage unit. According to the subway line intelligent scheduling optimization method and system based on real-time data analysis, a multi-source data fusion technology is introduced, and data from different systems are integrated to form a comprehensive data view, so that the system can master the operation condition of a subway line more comprehensively, powerful support is provided for scheduling decision making, and the scheduling efficiency is improved. By integrating advanced real-time data acquisition, processing and analysis technologies and combining an adaptive scheduling algorithm, multi-source data fusion and an intelligent prediction model, efficient and intelligent scheduling of the subway line is realized, the operation efficiency of the subway line is improved, the operation cost is reduced, and more comfortable and convenient travel experience is provided for passengers.

Described herein are embodiments for processing and counting unicast downlink control information (DCI) when both single-cell scheduling and multi-cell scheduling is configured to a UE. In some embodiments, wireless communication systems determine available processing capability of the UE associated for both unscheduled cells and the scheduled cells of the set of cells during the slot for additional unicast DCI formats based on the use of the multi-cell scheduling unicast DCI format.

The present disclosure relates to a method, a device, and a program product for managing multiple computing tasks on a batch basis. A method includes: identifying a task type of the multiple computing tasks in response to receiving a request to use a computing unit in a computing system to perform the multiple computing tasks; acquiring a scheduling time overhead incurred for scheduling the multiple computing tasks for execution by the computing unit; determining, based on the task type and the scheduling time overhead, a batch size for dividing the multiple computing tasks; and dividing the multiple computing tasks into at least one batch based on the batch size. A corresponding device and a corresponding computer program product are provided. With the example implementations of the present disclosure, the batch size for dividing multiple computing tasks can be dynamically determined, so that the performance of the computing system can meet user demands.

According to at least one of various embodiments, DCI may be received through a PDCCH; at least one TB may be received through a PDSCH in at least one of a plurality of cells configured in a user equipment on the basis of the DCI; and HARQ-ACK information for the at least one TB may be transmitted, wherein the DCI may support multi-cell scheduling on the basis of the plurality of cells, and the number of ACK / NACK bits included in the HARQ-ACK information may be determined on the basis of at least one of a maximum number of cells that can be scheduled together by the DCI or a maximum number of TBs that can be received through cells scheduled together by the DCI.