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公开(公告)号:US20210135988A1
公开(公告)日:2021-05-06
申请号:US16999660
申请日:2020-08-21
Applicant: Nokia Solutions and Networks Oy
Inventor: Bilgehan ERMAN , Andrea FRANCINI , Edward GRINSHPUN , Raymond MILLER
IPC: H04L12/741 , H04L12/801
Abstract: A network node configured to transmit packets to a destination node in a packet network, includes at least one processor and at least one memory including computer program code. The at least one memory and the computer program code are configured to, with the at least one processor, cause the network node to: assemble at least a first packet including a plurality of data units, each of the plurality of data units being grouped into one of a connection group, a network function group or an application group; and transmit the first packet to the destination node.
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公开(公告)号:US20210036920A1
公开(公告)日:2021-02-04
申请号:US17043072
申请日:2018-03-29
Applicant: Nokia Solutions and Networks Oy , NOKIA USA, INC.
Inventor: Bilgehan ERMAN , Sameerkumar SHARMA
Abstract: Aspects described herein relate to various methods, systems and apparatuses that can be used to define a network slice based on descriptions of the computing functions involved in a network service, and to configure the network slice using resources that are associated with the descriptions. For example, a network slice may be defined based on whether the network service requires tunneling or data encryption. The network slice may be configured using resources that perform those tunneling and data encryption functions.
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公开(公告)号:US20230396516A1
公开(公告)日:2023-12-07
申请号:US18318221
申请日:2023-05-16
Applicant: Nokia Solutions and Networks Oy
Inventor: Bilgehan ERMAN , Ejder BASTUG , Bruce CILLI , Andrea FRANCINI , Raymond MILLER , Charles PAYETTE , Sameerkumar SHARMA
IPC: H04L41/5003 , H04L67/10 , H04L67/131
CPC classification number: H04L41/5003 , H04L67/10 , H04L67/131
Abstract: An application specific interface (AA-NAPI) associated with an application for the purpose of controlling the networking aspects of the application session is provided by communication service provider (CSP). Cost model of network service types associated with a specific application type is learned by using the AA-NAPI. For each service-point joining the session, network properties are queried by using the AA-NAPI. During continuous service quality monitoring, upon detection of quality degradation leading to the decision to upgrade session quality, network service-type associated with a specific server-point is changed by using the AA-NAPI. Network specific actions are taken to reconfigure the network so that the requested service type is received by the specific service-point. New network capability is activated to improve network service level by using the AA-NAPI. Network specific actions are taken by the network to install new network capabilities so that the specific service-point's service quality is improved as requested.
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公开(公告)号:US20230269598A1
公开(公告)日:2023-08-24
申请号:US18162010
申请日:2023-01-31
Applicant: Nokia Solutions and Networks Oy
Inventor: Bilgehan ERMAN , Catello DI MARTINO
Abstract: The embodiments relate to a method, comprising transforming a physical environment into a three-dimensional (3D) digital representation; mapping the 3D digital representation to a feature vector representation to generate a set of features; determining a performance of a wireless network at the physical environment; enabling a machine learning algorithm to learn mapping between the determined performance and the generated set of features; generating a virtual layout of the environment; and generating performance prediction by means of the machine learning algorithm inferring a performance corresponding to the generated virtual layout. The embodiments also relate to technical equipment for implementing the method.
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公开(公告)号:US20200177443A1
公开(公告)日:2020-06-04
申请号:US16209093
申请日:2018-12-04
Applicant: NOKIA SOLUTIONS AND NETWORKS OY
Inventor: Ahmad ASGHAR , Bruce CILLI , Bilgehan ERMAN , Sameerkumar SHARMA , Peter ANDREWS
Abstract: A system and a method for interpreting normal and errored segments of network measurement data differently, and processing network measurement data, including: receiving a first query for network measurement data; extracting compressed network measurement data and error metadata from a repository database based upon the first query; decompressing the extracted compressed network measurement data; retrieving an error segment of raw network measurement data based upon the error metadata; and merging the error segment of raw network measurement data with the decompressed extracted compressed network measurement data to produce extracted network measurement data.
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