54 results about "Mixed services" patented technology

The invention discloses a network slice access control method based on a mixed service type, relates to the technical field of network slices, and aims to solve the problem that the network slice access control method does not comprehensively consider slice network quality, and comprises the following steps: calculating a mixed service regulation factor according to a waiting delay mean value of all slices; according to the residual bandwidth of the slice and the signal-to-noise ratio, evaluating the residual capability of the link; calculating any slice service quality parameter according to the reference signal receiving power lower limit value; calculating a service delay parameter and a service throughput parameter of any slice, and determining a qualified set containing the slices; and selecting the slice as a target slice according to the comprehensive evaluation value of the slice in the qualified set to implement access control. According to the control method provided by the invention, the comprehensive evaluation values of all the slices in the qualified slice set can be calculated, so that the new service can be dynamically accessed; the service can be ensured to be always in a good slicing environment, and real-time guarantee is provided for improving customer perception.

The invention is suitable for the technical field of network scheduling, and provides a network scheduling method and system for hybrid service transmission based on RDMA, and the method comprises the steps: receiving a to-be-transmitted service demand instruction, and determining a corresponding service type according to a service quality parameter in the service demand instruction; matching a corresponding virtual transmission channel for the service demand instruction according to the service type, wherein the virtual transmission channel is used for isolating hardware-level resources of different types of traffic; selecting an optimal transmission path for the flow of each virtual transmission channel according to a preset path evaluation model; analyzing the congestion risk of the optimal transmission path by adopting a prediction model; and dynamically adjusting a flow transmission path according to a congestion risk analysis result, and ensuring the transmission quality of the highest priority service through a hardware-level scheduling strategy. According to the invention, the optimal balance between the service quality and the resource efficiency can be realized in a complex mixed service environment.

The invention discloses an anti-quantum-attack national secret SSL communication system and method, and belongs to the technical field of information security. The quantum attack resistant national secret SSL communication system of the scheme comprises a traditional SSL client, an anti-quantum SSL client agent and a mixed SSL server. A traditional SSL client does not support an anti-quantum cryptography algorithm, and a mixed SSL server has a traditional cryptography technology and an anti-quantum cryptography technology at the same time. And the anti-quantum SSL client agent performs anti-quantum cryptographic algorithm transformation on a message sent by the traditional SSL client and then sends the message to the mixed SSL server, and performs anti-quantum cryptographic algorithm inverse transformation on a message sent by the mixed SSL server and then sends the message to the traditional SSL client. According to the scheme, the quantum attack resistance of the system is improved in a manner of incrementally deploying the anti-quantum SSL client agent at the SSL client, the transformation period is short, and the transformation cost is low.

The invention discloses a 5G-TSN cross-domain scheduling method, which comprises the following steps of: constructing a 5G-TSN hierarchical control network architecture, and carrying out global resource unified regulation and allocation; a circular queue forwarding mechanism is combined and adopted, a synchronous time slot cross-domain transmission mechanism is constructed, a multi-level service quality mapping strategy is implemented, 5G and TSN network priorities are matched, and an isolation transmission mechanism is used to meet differentiation requirements; according to differentiated demands of 5G and TSN networks, constructing a mixed service scene and determining demand attributes of different services; in combination with a synchronous time slot cross-domain transmission mechanism, the scheduling process of different service quality services is analyzed, and a scheduling and time delay model is constructed; according to cross-domain scheduling resource allocation based on time delay perception, scheduling of hybrid services is realized through three-dimensional collaborative optimization of time slot offset injection, wireless resource block allocation and base station power regulation and control. According to the invention, the overall performance of the 5G-TSN network can be obviously improved, and efficient transmission guarantee is provided for diversified services.

The invention discloses an AI dynamic game virtualization resource scheduling system and method for a 5G low-delay service, and aims to solve the problems of insufficient QoS guarantee and low resource utilization rate caused by insufficient static rule adaptability, lack of service differentiation scheduling and low fusion degree of a game model and AI. A service feature extraction module is used for distinguishing a low-delay service (T = 0) and a common service (T = 1), constructing an AI dynamic game model taking the two types of services as participants, defining a payment function comprising a QoS satisfaction function and a resource consumption cost function, solving Nash equilibrium by adopting a deep reinforcement learning algorithm, outputting an optimal resource demand strategy, and realizing the optimal resource demand strategy. And the bandwidth and CPU allocation are dynamically adjusted through the virtualized resource management module. According to the invention, the delay compliance rate of the low-delay service can be improved by 20%-30%, the resource utilization rate of the common service can be improved by 15%-25%, the strategy iteration period is shortened to millisecond level, and differential fine scheduling and dynamic optimization in a 5G mixed service scene are realized.

The invention discloses a service quality scheduling method, device and equipment, a medium and a product. The method comprises the following steps: mapping a logic channel to a corresponding node in a corresponding service quality priority matrix according to a service type of the logic channel to which a service flow of a user terminal belongs, and determining a time-sensitive priority updating strategy of the logic channel; determining a time-sensitive priority corresponding to the logic channel according to a time-sensitive priority updating strategy of the logic channel and a service parameter of a service flow corresponding to the logic channel; performing node updating on the corresponding service quality priority matrix according to the service volume change condition of the logic channel and the time-sensitive priority; and polling each node in each service quality priority matrix so as to determine and execute a corresponding resource scheduling strategy according to the matrix type of the service quality priority matrix to which the node belongs. The QoS scheduling of the wireless access network under the TSN and non-TSN mixed service multi-terminal scene can be realized.

The invention discloses a periodic settlement data prediction method fused with nonlinear dynamic lag modeling, which comprises the following steps: counting the number of manual operation times in unit time as an intervention frequency, comparing the intervention frequency with a preset threshold value, and judging whether a service scene is a periodic scene or a non-periodic scene; for the scene which is determined to be periodic, calibrating a monthly prediction result based on scale change of historical same-period data; for the scene judged to be aperiodic, parameters are updated in combination with a moving average method, and processing delay is dynamically adjusted by incorporating holidays and festivals and resting arrangement, so that sequence prediction is generated and completed; and dynamically updating model parameters and predicted values. According to the method, manual intervention intensity and sequence period feature analysis are fused, the universality and accuracy of service scene judgment are remarkably improved, the recognition limitation of a traditional method on mixed services is broken through, and lagging behavior prediction in the fields of energy, finance and the like can be adapted through the three stages of triggering, processing and completing.

The invention discloses an online incremental flow scheduling method, device and equipment based on a time-sensitive test launch control network, which are suitable for solving the problem of mixed service flow resource allocation in a ground test launch control system network and improving the scheduling capability of the network on time-sensitive service flows and measurement service flows. The method comprises the following steps: carrying out service flow category division and attribute representation; network topology and resource detection; constructing a mixed service flow incremental transmission model; based on a mixed service flow incremental transmission model, establishing a common flow scheduling optimization target and constraint conditions of different types of service flows; configuring a Markov decision process according to the optimization target; executing an online incremental scheduling decision based on a traffic scheduling algorithm of deep reinforcement learning; according to the method and the device, the scheduling success rate of the periodic time-sensitive service flow and the measurement type service flow can be improved while the end-to-end transmission delay of the non-periodic burst time-sensitive service flow is optimized.

The invention relates to a data synchronization method, system and device for a hybrid load service and electronic equipment. The method comprises the following steps: analyzing a log file generated by a source end data storage system to obtain all transaction data, and filtering the transaction data according to a preset white list rule to obtain target transaction data related to a target service; performing multi-dimensional analysis on the target transaction data, and generating at least one transaction judgment feature representing transaction behavior characteristics according to an analysis result; determining a target data synchronization optimization strategy matched with the transaction judgment feature, and obtaining corresponding transaction data in the target transaction data according to the target data synchronization optimization strategy; and buffering and sorting the obtained transaction data, and synchronizing the transaction data to a target data storage system through playback processing. The technical problems that analysis of operators is time-consuming, misjudgment is easy to occur, and a synchronization channel is blocked due to high-load mixed services are solved.

The invention discloses a hybrid processing method based on concurrent service acceptance, and relates to the field of computer task processing, and the method comprises the steps: receiving a hybrid service handling request, carrying out verification according to preset protocol configuration information, and carrying out the grouping forwarding of the hybrid service handling request according to a service type; the protocol configuration information is realized by adopting a tree-shaped data structure; each type of business analyzed from the mixed business handling request information is separated, an original corresponding sub-business verification process is called for verification and unified fee calculation, sub-orders of each business type are generated, and processing priorities of the sub-orders are calculated according to the business types and business relations; and submitting the mixed service sub-orders according to the priority sequence. According to the method, the system processing time is shortened through highly concentrated service verification and fee calculation, the processing efficiency is improved, the mixed service sub-order processing sequence is adjusted according to the priority, and flow control of processing each service by multiple services is accepted at the same time.

A computer-implemented method for submitting feedback for an entity to a blockchain is disclosed. The method, which is implemented at one of a plurality of participating nodes, includes: obtaining a first key, the first key being one of a fixed set of keys distributed to participating nodes that are eligible to submit feedback for the entity; generating first feedback (rj) of the entity for submission to the blockchain; encrypting the first feedback (rj) using at least the first key; and submitting the encrypted first feedback to a mixing service, the mixing service being configured to generate a mixed transaction based on the encrypted first feedback and at least one other encrypted feedback submission from one or more eligible participating nodes.

Methods and apparatuses for artificial intelligence (AI)-based network mixed-service detection for user equipment (UE) power saving. A method performed by a UE includes identifying a characteristic of packets of traffic at a UE and generating a set of streams corresponding to a set of different characteristics, including generating a respective stream corresponding each identified characteristic that is different from another identified characteristic. The method further includes classifying the set of streams into a set of traffic classes, respectively, based on features extracted from the set of streams every sampling window and selecting, from a set of UE assistance information (UAI) parameters that impact UE power consumption and quality of service (QoS), at least one UAI parameter to reduce power consumption of the UE while maintaining a QoS level. The method includes transmitting, via UAI to a gNB, a UE-preference including the at least one selected UAI parameter.

This invention discloses a method for scheduling mixed service resources in a multi-service scenario, applied to a cellular network system. The method includes: at the initial stage of a slot, the base station allocates resource blocks for an eMBB service slice; when URLLC service traffic arrives in a sub-time slot within the slot, resource blocks are allocated for the URLLC service slice at the beginning of the next sub-time slot, ensuring that all URLLC service traffic is transmitted within that next sub-time slot; wherein, the base station utilizes a resource allocation strategy to allocate resource blocks, using OMA (Optical Method Allocation) for resource block allocation between users belonging to the same service slice, and using NOMA (Normally Owned Method Allocation) for resource blocks to be reused between user pairs belonging to different service slices. This invention combines NOMA technology to solve the problem of scheduling mixed service resources in a multi-service scenario, improving spectrum efficiency, alleviating spectrum congestion, reducing system latency, and improving transmission reliability.

The invention discloses a message processing method and device, a storage medium and an electronic device, and the message processing method comprises the steps: detecting the message type of a target message currently received by a target port; obtaining a plurality of reference message types allowed to be processed by the target port in the target network equipment, and corresponding reference field types and reference message operations thereof, and establishing a corresponding relationship among the reference message types, the reference field types and the reference message operations; according to the technical scheme, the message processing method and the message processing device have the advantages that the message processing efficiency of the network equipment in the mixed service scene is low, and the problem that the message processing efficiency of the network equipment in the mixed service scene is low in the prior art is solved.

The invention discloses an implementation method of an ad hoc network service scheduling mechanism based on a multi-queue CQF (Control Quality Function), and provides a service scheduling mechanism based on a multi-queue CQF (Control Quality Function), aiming at the problem that a QoS (Quality of Service) guarantee mechanism of a medium access control (MAC) layer exists in mixed service flow queue scheduling in an unmanned aerial vehicle (UANET) ad hoc network. The method comprises the following steps: firstly, introducing a multi-queue CQF and a corresponding scheduling strategy to realize differential transmission requirements of a periodic stream and a burst stream, and completing a scheduling task of a mixed stream; the invention discloses a time resource scheduling method based on GhostNet and SRResNet, and provides a time resource scheduling algorithm (Time Resource Scheduling GhostNet and SRResNet, GSR) fusing the GhostNet and the SRResNet, so that the scheduling performance of a queue model is improved, and network resource optimization is realized. Finally, it is simulated and verified that the GSR algorithm has good scheduling capability in a mixed data stream scene, time resources can be reasonably allocated, and low-delay communication and rapid deployment of the model are achieved.

According to certain embodiments, a method performed by a wireless device includes: receiving a first grant and a second grant from a network node. The first grant and the second grant are overlapping. The method includes determining a prioritized grant in the first grant and the second grant; and constructing a medium access control (MAC) protocol description unit (PDU) for the prioritized grant in the first grant and the second grant. According to certain embodiments, a method performed by a network node includes: transmitting a first grant and a second grant to a wireless device. The first grant and the second grant are overlapping. The method includes receiving a transmission from the wireless device on the prioritized grant in the first grant and the second grant.

The subject matter of the invention is multiple grant handling in a hybrid service scenario. According to certain embodiments, a method performed by a wireless device includes receiving a first grant and a second grant from a network node. The first grant and the second grant are overlapping. The method includes determining a prioritized grant of the first grant and the second grant; and constructing a media access control (MAC) protocol description unit (PDU) for the prioritized grant of the first grant and the second grant. According to certain embodiments, a method performed by a network node includes transmitting a first grant and a second grant to a wireless device. The first grant and the second grant are overlapping. The method includes receiving a transmission from the wireless device on a prioritized grant of the first grant and the second grant.

According to certain embodiments, a method performed by a wireless device comprises receiving a first grant and a second grant from a network node. The first grant and the second grant are overlapping. The method comprises determining a prioritized one of the first grant and the second grant and constructing a Medium Access Control (MAC) Protocol Description Unit (PDU) for the prioritized grant of the first grant and the second grant. According to certain embodiments, a method performed by a network node comprises transmitting a first grant and a second grant to a wireless device. The first grant and the second grant are overlapping. The method comprises receiving a transmission from the wireless device on a prioritized one of the first grant and the second grant.

The application provides an adaptive uplink message transmission method and device and electronic equipment, and relates to the technical field of communication. The application embeds mode identifiers in generated uplink message data, independently maintains uplink message sequence numbers corresponding to different mode identifiers, establishes logically isolated and parallelly operated differentiated quality of service channels for uplink message data streams on the same physical connection. The client can select corresponding mode identifiers according to the sensitivity of the to-be-transmitted uplink message to reliability or delay, thereby triggering the confirmation and retransmission behavior matched with the corresponding transmission mode. This mechanism enables the client to adopt the most adaptive retransmission strategy for different service data, thereby effectively alleviating the problem that the quality of service in the prior art cannot meet the actual demand or is low in efficiency under mixed service load, and realizing fine transmission control of mixed service load in a single connection.

The invention provides a combined scheduling method for predicting and enhancing QoS (Quality of Service) sensing millimeter wave beams and power, and belongs to the technical field of wireless communication and resource management. In a millimeter wave system, user equipment periodically measures downlink reference signal receiving power and reports the downlink reference signal receiving power to a base station; and the BS maintains a historical RSRP sequence for each UE, and performs multi-step prediction by using an AI model to obtain a Top-K candidate beam at a future moment and the quality of the Top-K candidate beam. And the base station fuses the prediction result with the queue state, the service type and the QoS constraint, constructs a prediction enhancement state, and jointly optimizes beam selection and power distribution based on a deep reinforcement learning model. According to the method, a neural network does not need to be deployed on the UE side, the problem of channel aging is effectively relieved, the spectrum efficiency is remarkably improved in a high-mobility scene, meanwhile, time delay is reduced, the QoS default probability is reduced, and the method is suitable for a millimeter wave communication system of eMBB, URLLC and mMTC mixed services.

A method of selectively migrating data for a mixed server environment including deleting a first dataset from the first database server in response to a first delete command issued to the first database management system, issuing a second delete command after deleting the first dataset, copying to a second database server a complete set of data stored by the first database server, starting a second application server, starting a second business management software platform on the second application server, and providing the second business management software platform with the business software configuration data from the second database. The first dataset is deleted by a first database management system of a first database server, and the second delete command is issued to a first business management software platform and instructs the first business management software platform to delete the first dataset.

According to certain embodiments, a method performed by a wireless device comprises receiving a first grant and a second grant from a network node. The first grant and the second grant are overlapping. The method comprises determining a prioritized one of the first grant and the second grant and constructing a Medium Access Control (MAC) Protocol Description Unit (PDU) for the prioritized grant of the first grant and the second grant.According to certain embodiments, a method performed by a network node comprises transmitting a first grant and a second grant to a wireless device. The first grant and the second grant are overlapping. The method comprises receiving a transmission from the wireless device on a prioritized one of the first grant and the second grant.

Device for controlling the execution of a mashup WoT service, the device comprising: a Web of Things mashup service function entity, WoT mashup service function entity, (52) configured to execute a mashup WoT service adapted for a WoT service user (10); a WoT service execution function entity (54) configured to handle the execution of simple WoT services for the execution of the mashup WoT service of the WoT mashup service function entity; and a WoT service repository (56) configured to store WoT service execution descriptions (56a, 56b, 56n), each describing execution logic for each of the simple WoT services; wherein the WoT mashup service functionality entity comprises: a WoT mashup engine (52b) configured to execute the mashup WoT service in accordance with the service instruction read from the relevant WoT service execution description;wherein each of the WoT service execution descriptions includes information about the mashup WoT service, a service instruction designed to execute the mashup WoT service created by combining the two or more simple WoT services, and service profiles representing parameters designed to identify the mashup WoT service customized for the WoT service user.

A computer-implemented method for submitting feedback of an entity to a blockchain is disclosed. The method is implemented at one of a plurality of participating nodes, and includes: obtaining a first key, the first key being one of a fixed key set assigned to the participating node, the participating node being a node eligible to submit feedback of the entity; generating first feedback of the entity (r j ) to submit to the blockchain; encrypting the first feedback (r j ); and submitting the encrypted first feedback to a mixing service, the mixing service being used to: generate a mixed transaction based on the encrypted first feedback and at least one other encrypted feedback submission from one or more qualified nodes.

The invention belongs to the technical field of wireless communication, and discloses a resource allocation method for an eMBB and URLLC mixed service, and the method comprises the steps: 1, setting input variables: a round number T, a learning rate, an experience playback pool, a target network update frequency C, a state weight factor beta, a service weight factor sum, and a discount factor; 2, performing variable initialization: initializing a training network and a target network by using parameters selected in a randomized manner, wherein the parameters are selected in a randomized manner; step 3, randomly selecting power and a resource allocation strategy to initialize a network state in each turn (T in total); 4, in each round, selecting an action through a network strategy selection module, configuring a strategy in the network, then recording a network state and a corresponding return function after the action is executed, and finally storing an obtained parameter set in an experience playback pool; step 5, training; step 6, updating parameters of the target network; and the reliability is high.

The invention provides a dynamic subcarrier allocation method and system for a time-frequency multiplexing passive optical network, and the method comprises the steps: constructing a dynamic scheduling model of a time-frequency two-dimensional resource pool in each scheduling period according to the bandwidth demand condition of an ONU (Optical Network Unit) and the requirements of business demands for throughput, fairness and power balance, and carrying out the dynamic scheduling of the time-frequency two-dimensional resource pool; coding each sub-carrier allocation scheme as a particle position, optimizing targets such as throughput, fairness and power balance of the system at the same time by using a multi-target particle swarm, and reserving a diversified compromise optimal solution set through Pareto non-dominated sorting and congestion degree distance maintenance in iteration; and finally, selecting a feasible scheme from the Pareto frontier solution set according to network strategy preference, and issuing the feasible scheme to the OLT for execution, thereby realizing real-time self-adaptive distribution of the DSC. According to the method, time-frequency resources can be fully utilized in a mixed service scene, the overall throughput of a system is improved, the service quality of a weak link or a low-priority ONU is considered, and the basic physical feasibility requirement is met.

Methods and apparatuses for artificial intelligence (AI)-based network mixed-service detection for user equipment (UE) power saving. A method performed by a UE includes identifying a characteristic of packets of traffic at a UE and generating a set of streams corresponding to a set of different characteristics, including generating a respective stream corresponding each identified characteristic that is different from another identified characteristic. The method further includes classifying the set of streams into a set of traffic classes, respectively, based on features extracted from the set of streams every sampling window and selecting, from a set of UE assistance information (UAI) parameters that impact UE power consumption and quality of service (QOS), at least one UAI parameter to reduce power consumption of the UE while maintaining a QoS level. The method includes transmitting, via UAI to a gNB, a UE-preference including the at least one selected UAI parameter.

The invention discloses a Lora-based MAC layer design method satisfying indoor positioning system mixed service transmission. The method comprises the following steps: determining design requirements of an application scene; determining a channel condition and a cooperation mode of hybrid service transmission according to the design requirement; determining a network access mode and a channel resource division condition; computing partitions of frames of different traffic to satisfy transmission of the hybrid traffic; calculating overhead distribution and designing a resource occupation proportion of each service frame; and calculating the working efficiency of the service transmission channel. The MAC layer design method provided by the invention can meet higher-level scheduling tasks and voice scheduling services.

Aspects of the subject disclosure may include, for example, obtaining information regarding a metaverse object and data regarding network resources, deriving a mapping between the metaverse object and one or more of the network resources based on the information and the data, and providing a hybrid service design and orchestration (H-SDO) system with access to the mapping to facilitate selection of particular network resources for supporting one or more metaverse service requests relating to the metaverse object. Other embodiments are disclosed.

In one embodiment, a method can receive transmission metadata associated with a plurality of devices within an Internet of Things (IoT) network. The method can use a transmission sensing component (TSC) to measure transmission energy cost for each of the plurality of devices over a time period using the transmission metadata. The method can use a central compute engine (CCE) and the transmission energy cost for each of the plurality of devices to determine a plurality of transmission features associated with the plurality of devices having a transmission energy cost that is minimized. The method can use a transmission scheduling engine (TSE) and the plurality of transmission features to generate a transmission mode schedule to reduce a transmission energy cost for the plurality of devices within the IoT network. The method can adjust a transmission mode associated with the plurality of devices based on the transmission mode schedule.