15 results about "Enhanced service" patented technology

The application discloses a response method and device for differential enhanced service request, equipment and storage medium, the method comprises the following steps: obtaining the differential enhanced service request sent by a service requester; determining the grid range type corresponding to the differential enhanced service request according to the grid coding in the differential enhanced service request; determining the differential correction data in the corresponding grid range and the broadcast frequency of the differential correction data according to the grid range type; sending the generated differential correction data to the service requester according to the determined broadcast frequency; by implementing the application, the differentiated needs of different service requesters for correction data can be met.

Embodiments of the present application may provide apparatus, systems and methods for supporting services, including extended reality (XR) services. According to some embodiments, a mobile network architecture includes an application control function (ACF) that interacts with an application function (AF) to provision parameters such as device group information, data session details, and quality of service (QoS) profiles. In some embodiments, the session management function (SMF) facilitates data session establishment by coordinating with access networks (ANs) and other components. In some embodiments, packet handling for groups of devices, such as in XR applications, may be performed by the AN or a node within the AN. Embodiments may enhance scalability for XR services, improve resource utilization, and support reliable, resource-efficient data delivery. These systems may dynamically adapt to group-level requirements, improve delivery of application data and experience across diverse applications.

The application discloses a single-frequency ionospheric delay autonomous correction method and relates to the field of GNSS positioning. In view of a strong ionospheric disturbance scenario caused by magnetic storm, the method adopts a multi-ionospheric piercing point space-time decoupling algorithm, and only single-frequency pseudorange and carrier phase observation can be used to complete autonomous correction of ionospheric delay error of BDSK. The method does not need to depend on a ground reference station network and a double-frequency receiver hardware condition, and only relies on observation data of the receiver itself to autonomously complete ionospheric delay correction calculation, can be applied to a Beidou single-frequency positioning application scenario in a magnetic storm and the like strong ionospheric disturbance environment, effectively solves a technical problem that in the prior art, in a magnetic storm and the like strong ionospheric disturbance environment, ionospheric delay correction precision of a single-frequency receiver is reduced under a condition that a BDS BAS satellite-based augmentation service is invalid, and significantly improves the precision and operation robustness of Beidou single-frequency positioning in a complex space disturbance environment.

This application relates to a vehicle-side software architecture, a vehicle's electronic and electrical architecture, and a vehicle, falling under the field of vehicle technology. The vehicle-side software architecture includes a cross-domain service layer, an enhanced service layer, an atomic service layer, and a device abstraction layer deployed on the vehicle's area controller and communicating sequentially, as well as an electronic control layer that communicates with the enhanced service layer. The cross-domain service layer is used for communication between the area controller and other vehicle domain controllers. The enhanced service layer performs logical judgments on control request signal groups and transmits target control signals to the cross-domain service layer and the atomic service layer. The atomic service layer, based on the target component control service pointed to by the target control signal, calls the device abstraction layer to control the corresponding vehicle components to execute control functions. The device abstraction layer provides a standard abstraction of hardware interfaces to enable communication between components and the atomic service layer. The electronic control layer provides a standard interface for communication protocol interfaces to enable communication between components and the enhanced service layer. This approach is beneficial for improving the overall vehicle intelligence level and development efficiency.

This disclosure relates to communication coordination and reduction techniques for enhancing quality of service procedures. A base station (BS) may receive one or more data packets from a network node, including one or more Reflective Quality of Service (QoS) Indicator (RQI) tags. The base station may then determine one or more active uplink (UL) QoS rules associated with a user equipment (UE) based on the values ​​of the one or more RQI tags. The base station may further determine, based on at least one of one or more timers, the one or more active UL QoS rules, and status information received from the UE, whether to include or avoid including the one or more RQI tags in the transmission of the one or more data packets to the UE. Thus, in response to determining that the RQI tag should be included, the base station may then transmit the one or more packets including the RQI tag to the UE.

The application discloses a kind of star-based centimeter-level enhanced positioning methods based on B2b precise ephemeris, it is related to satellite navigation and precise positioning technical field, the method is applied to user end, including: based on short message, the time series prediction model of each GNSS satellite is obtained;Precise ephemeris of satellite observed in current time, clock error data and satellite-borne single-difference phase observation value are obtained;The single-difference correction number prediction value of corresponding observation satellite in current time is calculated by time series prediction model, to correct satellite-borne single-difference phase observation value, based on precise ephemeris and clock error data combined corrected satellite-borne single-difference phase observation value carries out accurate positioning, obtains the positioning result of user end in current time.The application creatively constructs a kind of mixed enhanced service new paradigm through reference station preprocessing and user end post-correction mode, and the positioning performance of user end directly inherits from the accuracy of reference station end, and high-precision positioning result can be realized quickly convergent.

The application provides an NTN-oriented intelligent mobility management and service continuity guarantee method, which is executed by an intelligent mobility management engine on the network side, and comprises the following steps: based on real-time position information of a user equipment and a network node, a prediction algorithm is used to predict the position in a future set time, and a dynamic network relationship graph is constructed based on the prediction result; a graph neural network is used to analyze the dynamic network relationship graph, so that a network reconfiguration decision is obtained; based on the network reconfiguration decision, a network device is indirectly guided to trigger a handover process conforming to the 3GPP standard, so as to execute handover and core network element migration. By constructing the dynamic network relationship graph, the network reconfiguration decision is obtained, the decision guides the standard 3GPP process to trigger and execute in the direction of global optimization through the way of preconfiguring network resources and optimizing strategies. Therefore, the purposes of seamless handover, reduced signaling overhead, globalized decision and significantly enhanced service continuity are achieved.

This invention proposes a method for service deployment and request distribution with knowledge graph enhancement in a cloud-edge environment. First, it constructs an edge service deployment model, a request distribution model, and a service processing latency model, and then uses a weighted combination of latency and cost to construct a quantitative representation model of the overall system overhead. Second, under constraints such as storage capacity and distribution consistency, it constructs a joint optimization mathematical model for service deployment and request distribution, focusing on the joint optimization of service latency and deployment cost. It also constructs an edge computing multi-agent knowledge graph (EC-MAKG), solidifying the inherent attributes and prior constraints of servers, services, and requests through triples. Finally, it transforms the optimization problem into a knowledge graph enhancement multi-agent restricted Markov decision process, designing a state space for knowledge enhancement, an action space for knowledge constraints, and reward and constraint functions for knowledge enhancement. This invention achieves efficient joint decision-making for service deployment and request distribution with knowledge enhancement in edge computing scenarios.

This invention introduces an adaptive hybrid network topology including a ring, star, and tree sub-topology interconnected through a shared backbone (100), a shared backbone (100) comprising a hierarchical structure with multiple levels of aggregation, characterized in that said shared backbone are installed network security infrastructure (101) comprising firewalls (104), intrusion detection (1041), Virtual Private Network (1011) and Point-to-Point Protocol over Ethernet (1012), a connection controller module (110) for managing network connections comprising a cross connection module (111), characterized in that said cross connection module is a plurality of a single dual core cable (114) connecting the plurality of intermediate distribution frames (112), a plurality of intermediate distribution frames (112), characterized in that said distribution frames attached are plurality of devices (121) and plurality of virtual local area network (1122) attached in internet service provider, and a failover configuration module (113) utilizing Spanning Tree Protocol (1131) for redundancy and path selection. Disclosed further are the methods for path selection and managing network topology in an adaptive hybrid network.

A first system may be provided in a public mobile network and a second system may be provided in a non-public mobile network, which systems may cooperate to selectively redirect user equipment from the public mobile network to the non-public mobile network. Such redirection may be implemented by the first system instructing base station(s) within the coverage area or vicinity of the non-public mobile network to, in turn, instruct user equipment to perform measurements at radio frequencies used by the non-public mobile network. This way, the user equipment may be instructed to listen at the radio frequencies used by the non-public mobile network, and if the user equipment is in the coverage area of the non-public mobile network, the user equipment may switch and connect to the non-public mobile network and thereby benefit from enhanced services and / or additional coverage. Advantageously, it may not be needed for the user to manually search for the non-public mobile network, nor for the user equipment to be already provisioned for the non-public mobile network.

This invention discloses a service simulation and allocation system and a method for allocating communication services. Addressing the problem that existing technologies typically use a single service model or allocation strategy for scheduling, making it difficult to simultaneously adapt to multiple distributed services, leading to imbalances in service allocation and resource consumption, and decreased network resource utilization and QoS assurance capabilities, this invention uses a communication service model and introduced multi-dimensional parameters of multiple distributed services as input. Under external task-driven triggering, it dynamically allocates services to different service distributions and outputs directly deployable allocation information. This ensures the mixed adaptation and orderly execution of multiple distributed services within the same simulation subject, while also improving the automation and reproducibility of the simulation exercise process, thereby increasing network resource utilization efficiency and enhancing service quality assurance capabilities.

The application discloses a kind of unmanned aerial vehicle cluster autonomous decision-making method and system of fusion Beidou enhanced service and multi-source perception, method includes: each unmanned aerial vehicle receives satellite-based augmentation signal, and real-time solution is carried out to satellite-based augmentation signal using precise point positioning technology, obtain precise PVT information;Each unmanned aerial vehicle synchronously collects sensor information, and with precise PVT information is spatiotemporal alignment, while using information fusion model processing local perception feature and wide-area geographic information, generate global environment situation tensor;Global environment situation tensor is input into deep reinforcement learning strategy network, obtain task instruction set;Using Beidou global short message, the key instruction in task instruction set is consensus confirmation, obtain consensus after task instruction;Each unmanned aerial vehicle is based on consensus after task instruction and cooperates work, and the new perception data generated in execution process is fused with precise PVT information in real time, input into information fusion model again, complete autonomous decision-making closed loop.

The application provides an online and offline business cooperation optimization method and system of a service platform, relates to the technical field of business management, and comprises the following steps: receiving natural language input data of a user, and constructing a ternary semantic mapping of an intention-transaction-path; activating a multi-source perception channel of the service platform, performing real-time perception of an online and offline state, establishing a state-service limiting factor; performing service scene perception, and configuring a multi-objective optimization channel; taking the ternary semantic mapping of the intention-transaction-path and the state-service limiting factor as inputs, performing path optimization reconstruction, and establishing a path optimization reconstruction result; and performing online and offline business cooperation optimization management. The application solves the technical problem of low service efficiency caused by the fragmentation of online and offline processes and different standards in the prior art, realizes dynamic cooperation reconstruction and intelligent scheduling of online and offline services through semantic recognition and multi-objective optimization, and enhances service quality and efficiency.