66 results about "Channel resource allocation" patented technology

The invention discloses an optical transmission network hidden danger detection method and device and a computer program product, which can realize dynamic adjustment of differentiated bandwidth requirements by acquiring optical network state information in real time, evaluating service priority and establishing an optical channel resource allocation model. And when a topology anomaly is detected, constructing a service quality evaluation model by using a long-short-term memory neural network, and quantitatively analyzing the influence of the anomaly on the service. When a fault occurs, distributed link fault detection and a fault diagnosis engine based on a decision tree are adopted, and fault hidden dangers are quickly positioned and classified. And then, through an elastic recovery mechanism oriented to service sensitivity, the service quality level of a standby optical path is adjusted, and an optical layer topology connection relationship is optimized. According to the method, the resource utilization efficiency, the fault recovery capability and the service quality of the optical network are remarkably improved, and an innovative solution is provided for intelligent optical network management.

The invention relates to the technical field of memory channel testing, in particular to a multi-channel parallel testing system and method based on a memory. The method comprises the following steps: acquiring original data of a memory test channel; performing topology analysis on the original data of the memory test channel to generate node distribution data of the memory channel; performing dynamic weight calculation on the storage channel node distribution data to obtain channel priority data; performing resource competition arbitration on the storage channel node distribution data according to the channel priority data to generate channel resource allocation data; performing control plane mapping on the channel resource allocation data to generate network topology virtualization data; and performing routing strategy optimization processing on the network topology virtualization data to generate dynamic routing table data. By optimizing channel resource allocation, topology virtualization management, elastic scheduling synchronization, fault prediction and data matching, the multi-channel parallel test efficiency and accuracy of the memory are improved.

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.

The invention relates to the technical field of satellite radio beacon positioning, in particular to a navigation signal management and control system based on time division multiplexing, and the system comprises a state perception and demand analysis module which is used for calculating a state weighting factor of each channel based on a real-time satellite signal quality C / N0 value, a receiver dynamic state, a GDOP value, a battery electric quantity and a positioning precision demand; and on the basis of the channel state weighting factors, determining boundary limiting conditions of each channel in combination with signal quality and satellite geometric distribution, and establishing a channel processing constraint set. According to the method, the channel state weighting factor is calculated based on the real-time satellite signal quality C / N0 value, the receiver dynamic change, the GDOP value, the battery electric quantity and the positioning precision requirement, and the channel boundary limiting condition better meeting the actual requirement is formed by introducing the combined judgment of the signal quality and the satellite geometric distribution; and the accuracy and the dynamic adaptive capacity of channel resource configuration are improved.

The invention provides a vehicle-mounted spectrum resource allocation method and device, equipment and a storage medium, and the method comprises the steps: obtaining the vehicle driving scene information and the spectrum state data of a target frequency band in a vehicle, carrying out the feature extraction of the spectrum state data, obtaining the to-be-analyzed spectrum feature information, carrying out the channel occupation prediction of the to-be-analyzed spectrum feature information, and carrying out the channel occupation prediction. Obtaining predicted channel idle resources, matching the priority of the current communication equipment according to the vehicle driving scene information, and allocating channel resources to the communication equipment based on the priority of the current communication equipment and the predicted channel idle resources; the vehicle driving scene information and the spectrum state data are acquired, the channel idle resources are predicted in combination with the deep learning model, and the priority of the communication equipment is dynamically matched to perform resource allocation, so that the problem that a dynamic scene cannot be adapted is effectively solved, the spectrum fluctuation characteristics in a complex driving scene can be dynamically captured in real time, and the user experience is improved. The channel resource utilization efficiency is improved, and the service quality of key communication equipment is guaranteed.

The invention provides a channel resource allocation method of a power local wireless network based on WAPI, and belongs to the technical field of power networks. Comprising the following steps: an access point reports information of a target terminal device which applies for channel resources and is accessed or disconnected to a slave chain of an edge computing layer; the slave chain sends target terminal equipment information and a service priority query request to a main chain of the distributed core layer; the main chain obtains to-be-allocated terminal equipment according to the target terminal equipment information and the access point historical resource allocation scheme, and sends the to-be-allocated terminal equipment and the corresponding service priority to an allocation server of the slave chain; the distribution server carries out channel resource distribution calculation according to the service priority of the terminal equipment, obtains a resource distribution scheme, and sends the resource distribution scheme to the slave chain; the slave chain issues the resource allocation scheme to the corresponding access point; and the slave chain reports the resource allocation scheme to the main chain. According to the invention, the proper resource unit can be allocated according to the service type or the service priority of the terminal equipment.

The invention discloses a wireless communication system resource collaborative allocation and optimization method based on star flash, and relates to wireless resource collaborative allocation in a multi-user and multi-service scene. According to the method, a connection relationship between an access point and user equipment, channel resource allocation and modulation coding mode selection are considered at the same time, and resource scheduling modeling is carried out by fusing service quality constraints of service types, and the method comprises the following steps of: carrying out iterative optimization on a channel allocation strategy of the AP by adopting a greedy algorithm; on the basis of related knowledge of a matching theory, an access control problem between the AP and the UE is modeled into a problem for searching an optimal AP-UE pair, and then the problem is solved through a delay receiving algorithm, so that the SINR of a link in a network is effectively reduced, and the throughput of the network is improved; mCS adaptive selection is realized based on fuzzy logic, and on the premise of ensuring optimal MCS selection of a link, the calculation complexity is effectively reduced and the system performance is improved.

The invention belongs to the technical field of communication network management, and discloses a heterogeneous communication network convergence system and convergence method. Comprising the steps of collecting multi-mode audio signal data and performing data cleaning to obtain a standard audio signal stream; constructing an efficient transmission architecture to perform data transmission and encryption on the standard audio signal stream; decoding the standard audio signal stream to obtain an original audio signal stream; performing priority ranking on the original audio signal flow to obtain an authority audio signal sequence; constructing a communication network convergence framework to perform channel resource allocation on the permission audio signal sequence to obtain a channel matching audio signal stream; monitoring frame parameters of the communication network convergence frame in real time and performing dynamic resource optimization to obtain an optimized communication network convergence frame, and sending the optimized communication network convergence frame to a preset scheduling terminal; and efficient fusion of heterogeneous communication networks is realized by constructing an optimized communication network fusion framework.

An embodiment of the present application provides an uplink control channel resource configuration method and apparatus. The method is applied to a terminal and includes: receiving configuration information of uplink control channel resources sent by a network-side device, where the configuration information at least includes a resource start position; and determining the uplink control channel resources according to the resource start position and a first quantity of resource blocks (RBs) occupied by the uplink control channel; receiving downlink control information (DCI) sent by the network-side device, and determining a parameter index based on the DCI, where the parameter index is used to determine the first quantity in a first resource set. The present application pre-configures the uplink control channel resources through the configuration information of the uplink control channel resources sent by the network side, and determines the quantity of RBs that need to be occupied in the uplink control channel for access through the downlink control information sent by the network side. And the first resource set is determined based on the RB value range corresponding to the current subcarrier spacing (SCS).

The present invention belongs to the field of intelligent transportation technology, and specifically discloses a channel resource allocation method and system based on hierarchical reinforcement learning. The present invention proposes a fairness model based on Jain's fairness index, which is used to measure the fairness of resource allocation and ensure that the resource allocation between different vehicles is relatively balanced; a reliability model is established, which measures the probability of successful transmission of information within a specified time by introducing the concept of interruption probability, thereby ensuring the communication needs of the V2V link; a delay model is designed based on the information age AOI model, which is used to evaluate the time it takes for information to be generated and received, so as to ensure timely transmission of information. The present invention also constructs a cellular vehicle network channel resource allocation model based on hierarchical reinforcement learning. Through hierarchical design, the model decomposes the cellular vehicle network channel resource allocation problem into an upper-layer clustering problem and a lower-layer intra-cluster channel resource optimization problem, thereby ensuring fair and efficient resource allocation in a complex environment.

The invention relates to the technical field of communication networks, in particular to a DCI (Downlink Control Information) box electric layer system, a networking method and equipment, and the system comprises the following steps: a clock synchronization control module, an error code correction optimization module, a signal multiplexing management module, a flow scheduling execution module and a real-time energy consumption management module. According to the invention, through real-time extraction and analysis of the short-time frequency offset change rate, dynamic adjustment of clock phase compensation is realized, the precision and adaptability of clock synchronization are improved, intelligent adaptive optimization of error code correction parameters is realized through real-time analysis of error code fluctuation characteristics, redundant overhead is reduced, and dynamic statistics of bandwidth occupancy rate is combined, so that the accuracy and the adaptability of clock synchronization are improved. The method optimizes the channel resource allocation efficiency, avoids the resource waste, optimizes the transmission path priority by adopting the time delay change gradient analysis, effectively avoids the channel congestion, and reduces the equipment energy consumption through the dynamic monitoring of the link load and the optimization of the energy efficiency control.

The present invention aims to solve the high latency problem in 5G ultra-dense networks caused by users with insufficient computing power processing low-latency, high-reliability applications, and implements a joint optimization strategy for offloading strategy and resource allocation under the condition of limited computing resources and channel resources. First, a system model of MEC and local computing in a 5G ultra-dense network scenario is constructed, and a mixed integer nonlinear optimization problem that minimizes task completion time is constructed. Then, a joint optimization strategy for task offloading decision and resource allocation is proposed for the optimization problem. This strategy first uses variable substitution to simplify the problem, and then solves it by decomposing the sub-problems. The original problem is decomposed into two sub-problems: computing resource allocation and channel resource allocation. The Lagrange multiplier method is first used to obtain the optimal solution for computing resources, and then a channel resource allocation algorithm based on the idea of differential evolution is used to perform channel resource allocation under the condition of determining the optimal solution for each computing resource allocation.

Methods, systems, and devices for wireless communications are described. A user equipment (UE) receives a first control message scheduling downlink shared channel resource allocation types for processing in a single time resource, where the downlink shared channel resource allocation types include one or more of unicast downlink control information (DCI) carried over a downlink shared channel, unicast downlink shared channel data carried over the downlink shared channel, or unicast DCI modulated with downlink data transmissions carried over the downlink shared channel. The UE receives a second control message indicating additional control information for one or more of the plurality of downlink shared channel resource allocation types. The UE processes the multiple downlink shared channel resource allocation types within the single time resource. The UE may communicate with a network entity based at least in part on the plurality of downlink shared channel resource allocation types.

The application discloses a channel resource allocation method and device for a traditional Chinese medicine decoction piece e-commerce platform and a storage medium, and attributes online behavior habits before first login of a user based on push records of a touch channel and operation records of the user, then, based on a touch form of the platform to the user and the online behavior habits before the first login, attribution judgment of a user login response is performed again, so that a login contribution value of each touch channel is obtained; in this way, the application is equivalent to performing multiple login attribution analyses in combination with portrait data of the user, based on which, contribution rates of different touch channels can be more reasonably evaluated, so that reasonable allocation of channel resources is realized, and channel development and maintenance are better performed.

This application discloses a method for allocating SMS service channel resources, including: receiving input business SMS data, performing logical processing on the business SMS data, and outputting the logically processed business SMS data; periodically collecting and storing attribute information of the business SMS data, and performing business type analysis, average rate analysis, and business success rate analysis on the attribute information; monitoring the operating status of the SMS service channel, collecting and storing SMS service channel parameters, periodically performing data quantitative analysis on the SMS service channel parameters, and calculating a comprehensive availability score for the SMS service channel within a period; and optimizing the allocation of SMS service channel resources, including allocating channel resources for new SMS services, recovering or expanding the channel capacity of existing SMS services, and reallocating channel resources for abnormally operating SMS services. This application also discloses an SMS service channel resource allocation system, device, and storage medium.

The invention relates to a ship VDES satellite access method based on state awareness and distribution self-adaption, and the method comprises the steps: a satellite side monitors the access loads of a first resource pool and a second resource pool, and dynamically adjusts the channel resource distribution of the two resource pools based on the load state of the first resource pool. And the satellite side broadcasts a resource allocation map containing the adjusted allocation result and a second load indication indicating the load of the second resource pool. And the ship side receives the map and the indication, and determines to access the first resource pool or the second resource pool according to the service type of the to-be-sent data. And the ship side selects an access resource from the determined target resource pool to send data. And the satellite side generates and broadcasts an acknowledgement message for the access resources of the two resource pools. According to the method, the first resource pool capable of dynamically expanding the capacity is set, so that the access reliability of the high-priority service under conventional and congestion conditions is ensured; and through the distributed adaptive access of the second resource pool, the satellite processing load is reduced, and the channel utilization rate and the system expandability are improved.

The invention discloses an FPGA (Field Programmable Gate Array) signal negotiation distribution method supporting dynamic networking. The method comprises the following steps: establishing a mapping relationship between FPGA nodes and logic nodes; calculating the shortest path between all FPGA pairs, counting the number of networks on each physical channel, and calculating an initial TDM ratio and path delay; introducing a relaxation ratio and a criticality ranking mechanism, performing iterative wiring optimization based on a dynamic cost function, and updating a weight topological graph; physical channels with TDM ratio overrun and serious congestion are identified, physical topology is reconstructed through channel addition, deletion and transfer operations, and channel resource allocation is guided based on comprehensive ranking scores of three types of constraint factors; according to the method, the PathFinder wiring and the topology reconstruction process are cooperatively executed, signal distribution is carried out again based on the wiring result of the last round after topology adjustment each time, a final wiring path and a reconstructed topology structure are output, the maximum path delay is reduced, and the wiring quality of a large-scale FPGA system is improved.

The application discloses a method and device for adjusting MCS level, equipment and storage medium, and relates to the field of mobile communication. The specific implementation scheme is as follows: obtaining a target data amount to be transmitted by a target user to be scheduled; determining a position mark of the target user in a scheduling process based on non-data domain resource occupation adjustment MCS level according to the target data amount and a preset data amount threshold value; and adjusting the MCS level of the target user according to a preset strategy based on the position mark. Through the method, whether the scheduling MCS level needs to be further adjusted can be adaptively judged based on the time-frequency domain density information occupied by the non-data domain resource in the service channel resource allocation process, so that the efficiency and accuracy of the MCS level adjustment are improved.

Dynamic random access channel resource allocation is provided. A method for dynamic random access channel resource allocation may include receiving, from a network entity, a configuration of at least one physical random access channel resource of a plurality of semi-static and dynamic physical random access channel resources for network access. The plurality of semi-static physical random access channel resources are available without separate activation, and the plurality of dynamic physical random access channel resources are available with separate activation. The method may also include determining availability of at least one dynamic physical random access channel resource of the plurality of dynamic physical random access channel resources; and selecting at least one resource for preamble transmission from the at least one dynamic physical random access channel resource or from a combined set of semi-static and dynamic physical random access channel resources when it is determined that the at least one dynamic physical random access channel resource is available.

The invention discloses a space-based VDE system channel resource allocation method, which comprises the following steps of: pre-allocating data channels of a single communication sub-frame according to allocated time slot mapping configuration of a VDE system; the space-based VDE and the terminal measure uplink and downlink signals respectively to complete channel quality monitoring; and the space-based VDE selects a to-be-allocated terminal according to the service index, selects a specified rate model according to the channel quality, completes the channel resource allocation of the terminal in the configured data channel, and executes a subsequent service data interaction process. According to the method, stable access of the terminal can be effectively guaranteed, and the service quality of system services can be improved.

The invention provides an insurance service management method and device, electronic equipment and a storage medium, and relates to the technical field of data processing, and the method comprises the steps: monitoring the real-time business state of each insurance service channel, and evaluating the resource demand degree based on a multi-dimensional business index; and predicting a business demand in a target time period, generating a cross-channel resource allocation scheme in combination with a prediction result and a resource demand degree, dynamically adjusting a resource allocation priority, and realizing cross-channel scheduling of service resources according to a preset channel weight and an event-driven factor. Meanwhile, multi-channel customer data are integrated to construct a unified customer view, customer life stages are identified based on multi-source data, a cross-service-chain collaborative service process is triggered according to a dynamic customer portrait, and a fusing mechanism is started to switch to an alternative service channel when the service is abnormal. The problem of repeated resource investment caused by the fact that static resource allocation is not combined with real-time resource demand evaluation and service demand prediction in the prior art can be solved.

The invention discloses a WIFI6 dynamic channel resource allocation method and system for a multi-device scene, and relates to the technical field of wireless communication, and the method comprises the steps: collecting the real-time flow distribution of a multi-device network environment, and extracting the real-time flow perception characteristics of the real-time flow distribution; pre-defining type labels of the first type of channel template and the second type of channel template; initializing an RU channel allocation module, and analyzing the real-time flow perception characteristics according to an elastic allocation mechanism algorithm to obtain a first dynamic resource proportion; and issuing the first dynamic resource proportion to an RU channel allocation module for channel resource allocation to obtain a first dynamic virtual resource template, and performing physical resource mapping. According to the method and the device, the technical problem that the real-time flow change cannot be effectively handled due to unreasonable WIFI6 channel resource allocation in the multi-device scene in the prior art is solved, and the technical effects of improving the WIFI6 channel resource allocation efficiency in the multi-device scene and improving the network performance and stability are achieved.

The invention relates to the technical field of wireless communication, in particular to a communication method and a communication device. The method comprises: a second communication device sending first indication information, a first communication device receiving the first indication information, the first indication information indicating a first center frequency, the first center frequency being a center frequency of a first bandwidth; the second communication device sends the first communication frame, the first communication device receives the first communication frame, the frequency range of the direct current subcarrier corresponding to the first communication frame comprises the first center frequency, and the transmission bandwidth of the first communication frame is larger than the first bandwidth. And the channel resource allocation is more flexible. According to the application, an IEEE (Institute of Electrical and Electronic Engineers) protocol can be supported, such as an IEEE 802.11 be protocol, an IEEE 802.11 bn protocol, an IEEE integrated millimeter wave protocol, an IEEE 802.15 protocol or an IEEE 802.11 bf protocol; the method can also be applied to a satellite flash system and supports a satellite flash protocol.

The invention discloses an anti-mobile-interference unmanned aerial vehicle network track, route and resource joint optimization method, which comprises the following steps of: firstly, splitting an original joint decision problem into two sub-problems of unmanned aerial vehicle network channel resource allocation and track route decision; and through iterative cooperation of game theory channel allocation and multi-agent reinforcement learning trajectory routing decision, a joint optimization problem is decoupled, so that optimization of unmanned aerial vehicle network task time delay is realized under an anti-interference condition. According to the method, the RMAPPO is integrated into the RNN to capture topology time sequence characteristics, track control and route selection are covered at the same time, game theory channel allocation and recursive multi-agent reinforcement learning are combined through a decomposition type optimization framework, topology fluctuation is dynamically adapted, the coupling optimization problem is effectively solved, the anti-interference performance and the network stability are both considered, and the method is suitable for large-scale popularization and application. And real-time cooperation of interference suppression and resource allocation is realized.

The invention belongs to the technical field of Internet of Vehicles control, and particularly discloses a cellular Internet of Vehicles spectrum resource allocation method under hidden terminal influence. According to the method, firstly, a data packet transmission model is provided and used for describing the probability of data packet collision caused by the fact that two or more vehicles access the same channel resource and broadcast CAM, and the model can represent the probability of data packet collision caused by interference of exposed terminals and two types of hidden terminals under different inter-vehicle distances and vehicle densities at the same time. The invention further provides an inter-data packet receiving probability model which is used for describing a time interval between two successive successful data packet receiving. In addition, the invention further designs a self-adaptive multi-agent reinforcement learning scheme used for searching for an optimal channel resource allocation strategy for each V2V link, meanwhile, a hierarchical approximation strategy iteration mechanism based on a binary tree is introduced, and through hierarchical decomposition of a state space and local search optimal strategy search, an optimal channel resource allocation strategy is provided for each V2V link. The calculation complexity of reinforcement learning training is reduced.

The invention relates to an optimal channel resource allocation method for an industrial wireless network, and belongs to the technical field of communication. According to the invention, the central control unit (CCU) calculates the next communication moment with the equipment according to the current triggering moment, and the CCU is kept silent between the two communication moments, so that an additional continuous monitoring state is not needed; in the self-triggering control STC, the CCU receives information from all devices at the STC communication moment, the next STC time is calculated, and CCU actuator signals are updated according to the difference of the states of all the devices. According to the invention, through power control and message transmission based on self-triggering control STC, the channel capacity is increased in the presence of interference, so that wireless channel resources are optimized.

The invention provides a resource allocation method and device, electronic equipment, a storage medium and a computer program product, and relates to the technical field of wireless technology, and the method comprises the following steps: dynamically allocating corresponding resources to N broadband blocks in M broadband blocks based on service state information corresponding to the M broadband blocks, wherein M is an integer greater than 0, and N is an integer greater than 0 and not greater than M. Therefore, resources can be dynamically allocated to part of broadband blocks based on the service state information corresponding to each broadband block, and compared with a scheme of allocating a set of resources to each broadband block and only allocating resources to the initial broadband block, the resources can be reasonably allocated, and the resource allocation efficiency is improved. And meanwhile, the influence on the network response performance and the uplink throughput is considered, so that the network performance is improved.

The present invention relates to the field of storage channel testing technology, and in particular to a memory multi-channel parallel testing system and method thereof. The method comprises the following steps: obtaining memory test channel raw data; performing topological analysis on the memory test channel raw data to generate storage channel node distribution data; performing dynamic weight calculation on the storage channel node distribution data to obtain channel priority data; performing resource competition arbitration on the storage channel node distribution data according to the channel priority data to generate channel resource allocation data; performing control plane mapping on the channel resource allocation data to generate network topology virtualization data; performing routing strategy optimization processing on the network topology virtualization data to generate dynamic routing table data. The present invention improves the efficiency and accuracy of memory multi-channel parallel testing by optimizing channel resource allocation, topology virtualization management, elastic scheduling synchronization, fault prediction and data matching.

The invention provides a channel resource allocation method, device and equipment. The method comprises the steps of obtaining multiple pieces of task information of tasks to be transmitted, wherein the task information is obtained after the tasks to be transmitted are input into different types of network models; fusing all task information to obtain fusion features of the to-be-transmitted tasks; generating metadata of the to-be-transmitted task based on the fusion features; determining a channel demand vector of the to-be-transmitted task based on the metadata; and allocating channel resources to the to-be-transmitted task based on the channel demand vector of the to-be-transmitted task and the current channel resources. According to the method and the device, the multiple pieces of task information of the to-be-transmitted task can be identified to determine the channel demand vector of the to-be-transmitted task, so that the corresponding channel resource is allocated to the to-be-transmitted task, intelligent allocation of the channel resource can be realized, and the resource utilization efficiency is improved.

This invention provides a user-autonomous allocation device and method for access layer channel resources in optical transmission networks. A user channel switching system is constructed at the edge of the optical transmission network. This system indicates that user nodes have at least one pre-set channel with other nodes through the autonomous allocation device. The autonomous allocation device performs data acquisition and processing to obtain data information from optical transmission layer devices and the local resources available from node access devices, automatically generating virtual network topology connections. Based on user channel requirements, route selection and calculation are performed. Based on the calculation results, channel resource allocation is autonomously completed. This method offers high flexibility and timeliness, meeting the flexible service requirements of users for on-demand access and channel allocation within the existing rigid transmission channels of the optical transmission network.