FINGERPRINT-BASED vRAN CELL INTEGRITY MONITORING

    公开(公告)号:US20240098514A1

    公开(公告)日:2024-03-21

    申请号:US18514418

    申请日:2023-11-20

    申请人: Intel Corporation

    IPC分类号: H04W16/18 H04L5/00 H04W40/22

    摘要: Various approaches for the deployment and coordination of network operation processing, compute processing, and communications for 5G networks, including with the use of fingerprint-based vRAN cell integrity monitoring, are discussed. In an example, analyzing a state of a 5G network includes: obtaining initial fingerprint reference data of a network state between a virtualized radio access network (vRAN) node and at least one fingerprint reference unit (FRU) device wirelessly connected to the vRAN node; comparing the initial fingerprint reference data to subsequent fingerprint data of the network state between the vRAN node (e.g., operating as vRAN gNB, or as an IAB Donor or IAB Node) and the at least one FRU device to detect a changed network condition; and performing an action at the vRAN node to modify or disable a component of the 5G network, in response to detection of the changed network condition.

    QUALITY OF SERVICE MANAGEMENT FOR 5G NETWORKS

    公开(公告)号:US20240015569A1

    公开(公告)日:2024-01-11

    申请号:US18371917

    申请日:2023-09-22

    申请人: Intel Corporation

    IPC分类号: H04W28/02 H04W28/24 H04W24/04

    摘要: Various systems and methods for implementing end-to-end quality of service (QoS) for network communications are provided using various network and compute technologies. In an example, managing Quality of Service (QoS) for end-to-end network data flows, includes: identifying QoS characteristics for data flows of a user equipment (UE), for data flows performed via multiple access networks; mapping the QoS characteristics to network functions of at least one of the multiple access networks; and controlling the network functions of the at least one of the multiple access networks, based on the QoS characteristics, as the network functions are implemented at respective resources located within at least one of the multiple access networks. Further examples for controlling the network functions using Access Traffic Steering, Switching and Splitting (ATSSS) functionality in an 3GPP multi-access network, and configuring a network exposure function of an 3GPP multi-access network, are also disclosed.

    DATA MESH SEGMENTED ACROSS CLIENTS, NETWORKS, AND COMPUTING INFRASTRUCTURES

    公开(公告)号:US20220156123A1

    公开(公告)日:2022-05-19

    申请号:US17592351

    申请日:2022-02-03

    申请人: Intel Corporation

    IPC分类号: G06F9/50 G06F11/30

    摘要: An apparatus includes a processor to receive a plurality of telemetry datasets from a plurality of infrastructure processing units (IPUs) in a computing infrastructure. Each of the plurality of IPUs is operably coupled to a plurality of devices having a particular device type. The plurality of telemetry datasets includes a first telemetry dataset received from a first IPU and a second telemetry dataset received from a second IPU. The processor is to store first telemetry data from the first telemetry dataset in a data store, store second telemetry data from the second telemetry dataset in the data store, and in response to receiving a telemetry data request that specifies a first identifier identifying the first IPU and a job identifier, retrieve the first telemetry data from the data store based, at least in part, on the first telemetry data being associated with the first identifier and the job identifier.

    5G network edge and core service dimensioning

    公开(公告)号:US11943280B2

    公开(公告)日:2024-03-26

    申请号:US17883011

    申请日:2022-08-08

    申请人: Intel Corporation

    IPC分类号: G06F15/16 H04L67/10 H04L67/12

    CPC分类号: H04L67/10 H04L67/12

    摘要: Various systems and methods for implementing a multi-access edge computing (MEC) based system to realize 5G Network Edge and Core Service Dimensioning using Machine Learning and other Artificial Intelligence Techniques, for improved operations and usage of computing and networking resources, and are disclosed herein. In an example, processing circuitry of a compute node on a network is used to analyze execution of an application to obtain operational data. The compute node then may modularize functions of the application based on the operational data to construct modularized functions. A phase transition graph is constructed using a machine-learning based analysis, the phase transition graph representing state transitions from one modularized function to another modularized function, where the phase transition graph is used to dimension the application by distributing the modularized functions across the network.

    MULTI-ORBIT SATELLITE DATA CENTER
    6.
    发明公开

    公开(公告)号:US20230208510A1

    公开(公告)日:2023-06-29

    申请号:US18111382

    申请日:2023-02-17

    申请人: Intel Corporation

    IPC分类号: H04B7/185

    CPC分类号: H04B7/18521 H04B7/18591

    摘要: Various approaches for the deployment and coordination of network operation processing, compute processing, and inter-satellite communication coordination, within one or multiple satellite non-terrestrial networks, are discussed. Among other examples, a data center located at one or more satellites operating in a middle Earth orbit (MEO) plane, geosynchronous orbit (GEO) plane, or high-Earth elliptical orbit (HEO) plane, may be used to provide network and data processing operations for a low-Earth orbit (LEO) constellation.

    5G network edge and core service dimensioning

    公开(公告)号:US11412033B2

    公开(公告)日:2022-08-09

    申请号:US17426241

    申请日:2020-02-25

    申请人: Intel Corporation

    IPC分类号: G06F15/16 H04L67/10 H04L67/12

    摘要: Various systems and methods for implementing a multi-access edge computing (MEC) based system to realize 5G Network Edge and Core Service Dimensioning using Machine Learning and other Artificial Intelligence Techniques, for improved operations and usage of computing and networking resources, and are disclosed herein. In an example, processing circuitry of a compute node on a network is used to analyze execution of an application to obtain operational data. The compute node then may modularize functions of the application based on the operational data to construct modularized functions. A phase transition graph is constructed using a machine-learning based analysis, the phase transition graph representing state transitions from one modularized function to another modularized function, where the phase transition graph is used to dimension the application by distributing the modularized functions across the network.

    VEHICLE COMMUNICATION
    8.
    发明申请

    公开(公告)号:US20210076180A1

    公开(公告)日:2021-03-11

    申请号:US16490214

    申请日:2017-03-31

    申请人: INTEL CORPORATION

    IPC分类号: H04W4/44 H04W4/80

    摘要: A system and method for vehicle communication, including a computing device communicatively coupled with a roadside computing device disposed along a road, wherein the computing device is disposed remote from the road. The roadside computing device to communicate with a vehicle computing system of a vehicle on the road.

    5G NETWORK EDGE AND CORE SERVICE DIMENSIONING

    公开(公告)号:US20230062253A1

    公开(公告)日:2023-03-02

    申请号:US17883011

    申请日:2022-08-08

    申请人: Intel Corporation

    IPC分类号: H04L67/10 H04L67/12

    摘要: Various systems and methods for implementing a multi-access edge computing (MEC) based system to realize 5G Network Edge and Core Service Dimensioning using Machine Learning and other Artificial Intelligence Techniques, for improved operations and usage of computing and networking resources, and are disclosed herein. In an example, processing circuitry of a compute node on a network is used to analyze execution of an application to obtain operational data. The compute node then may modularize functions of the application based on the operational data to construct modularized functions. A phase transition graph is constructed using a machine-learning based analysis, the phase transition graph representing state transitions from one modularized function to another modularized function, where the phase transition graph is used to dimension the application by distributing the modularized functions across the network.