TRAFFIC MONITORING BY LOWEST TRANSMISSION LAYER MARKING
    11.
    发明申请
    TRAFFIC MONITORING BY LOWEST TRANSMISSION LAYER MARKING 审中-公开
    通过最低传输层标记进行交通监控

    公开(公告)号:WO2009146747A1

    公开(公告)日:2009-12-10

    申请号:PCT/EP2008/056995

    申请日:2008-06-05

    CPC classification number: H04L43/026

    Abstract: A monitoring system is provided for monitoring transport of data through interconnected nodes for processing data packets in a communication system, wherein said data packets conform to a layered transmission protocol, the system comprising : (1) a marking node for marking a packet selected according to a marking rule by placing a monitoring indicator in the lowest protocol layer thereof, said data packet having a first number of protocol layers, (2) at least, one packet processing node for forming a data packet based or the marked packet, such that said formed data packet comprises a second number of protocol layers that is different from said first number of protocol layers and such that said indicator is in the lowest protocol layer of said formed data packet, and (3) a monitoring node for monitoring said transport of data on the basis of the indicators in data packets that have passed through the at least one packet processing node.

    Abstract translation: 提供了一种监视系统,用于监视通过互连节点的数据传输,以处理通信系统中的数据分组,其中所述数据分组符合分层传输协议,所述系统包括:(1)标记节点,用于标记根据 通过将监视指示器放置在其最低协议层中,所述数据分组具有第一数量的协议层,(2)至少一个用于形成数据分组的分组处理节点或标记的分组,使得所述 形成的数据分组包括与所述第一协议层数不同的第二数量的协议层,并且使得所述指示符处于所述形成的数据分组的最低协议层,以及(3)用于监视所述数据传输的监视节点 基于已经通过至少一个分组处理节点的数据分组中的指示符。

    METHOD AND MONITORING COMPONENT FOR NETWORK TRAFFIC MONITORING
    12.
    发明申请
    METHOD AND MONITORING COMPONENT FOR NETWORK TRAFFIC MONITORING 审中-公开
    网络交通监控的方法和监控组件

    公开(公告)号:WO2009049644A1

    公开(公告)日:2009-04-23

    申请号:PCT/EP2007/008962

    申请日:2007-10-16

    CPC classification number: H04L12/2602 H04L43/00 H04L43/028 H04W24/08

    Abstract: A technique for traffic monitoring in a network (100) comprising monitoring components (N1, N2) and a management centre (MC) is described. A method implementation comprises the steps of selecting a first set of local identifiers from a larger second set of local identifiers, wherein the local identifiers are capable of providing a unique identification of a network connection at the first monitoring component, filtering network connections, allocating a local identifier of the first set of local identifiers to a network connection in case a filter condition applies during the filtering, checking associations of network traffic with local identifiers, and selectively monitoring network traffic associated with a local identifier from the first set of local identifiers.

    Abstract translation: 描述了包括监视组件(N1,N2)和管理中心(MC)的网络中的用于流量监控的技术(100)。 方法实现包括以下步骤:从较大的第二组本地标识符中选择第一组本地标识符,其中本地标识符能够在第一监视组件处提供网络连接的唯一标识,过滤网络连接,分配 在过滤期间应用过滤条件的情况下,网络连接的第一组本地标识符的本地标识符,检查网络流量与本地标识符的关联,以及从第一组本地标识符选择性地监视与本地标识符相关联的网络流量。

    TECHNIQUE FOR PREDICTING RADIO QUALITY
    14.
    发明申请

    公开(公告)号:WO2022045939A1

    公开(公告)日:2022-03-03

    申请号:PCT/SE2020/050826

    申请日:2020-08-28

    Abstract: A technique for predicting radio quality in a wireless communication network depending on assumed positions of one or more base stations in an area to be covered by the wireless communication network is disclosed. A method implementation of the technique is performed by a computing unit and comprises the steps of (a) determining (S202), for a selected position in the area with respect to assumed positions of the one or more base stations, blocking object features indicative of a spatial pattern of blocking objects present in fields of view between the selected position and the assumed positions of the one or more base stations, and (b) determining (S204), based on the determined blocking object features, a predicted radio quality at the selected position using a machine learning model trained to map blocking object features for selected positions with respect to one or more base station positions to corresponding radio qualities at the selected positions.

    SYSTEM AND METHOD OF SCENARIO-DRIVEN SMART FILTERING FOR NETWORK MONITORING

    公开(公告)号:WO2021048742A1

    公开(公告)日:2021-03-18

    申请号:PCT/IB2020/058346

    申请日:2020-09-08

    Abstract: A network node (140) leverages machine learning models and their corresponding model explainers (86) to automatically optimize network monitoring configuration for service assurance. The active services of a user session serve to identify applicable service assurance scenarios. Using a knowledge base representing corresponding machine learning models and their corresponding model explainers, one or more low-level features to be reported are selected. The selected features are those that are determined to have greatest relative importance on service-level performance indicators. The metrics associated with the selected features are then input into the network configuration management system.

    TECHNIQUE FOR ASSESSING POSITIONING QUALITIES

    公开(公告)号:WO2021018386A1

    公开(公告)日:2021-02-04

    申请号:PCT/EP2019/070502

    申请日:2019-07-30

    Abstract: A technique for assessing positioning qualities within a localization area of a positioning system comprising a plurality of anchor nodes for determining positions of tag devices within the localization area using radio technology is disclosed. A method implementation of the technique comprises determining (S202) a positioning deviation between an absolute position of a tag device and a relative position of the tag device, the absolute position of the tag device being determined by the positioning system using the plurality of anchor nodes and the relative position of the tag device being determined based on movement related measurements performed by the tag device relative to a previously determined absolute position of the tag device, and assessing (S204) a positioning quality for the absolute position based on the determined positioning deviation.

    DELAY ENCODED VECTOR SYMBOLIC RADIO MULTIPLE ACCESS

    公开(公告)号:WO2023091061A1

    公开(公告)日:2023-05-25

    申请号:PCT/SE2022/051050

    申请日:2022-11-10

    Abstract: A method by a neuromorphic device in a wireless communication network which communicates using radio frames and carrier frequencies. The method includes obtaining a high dimensional (HD) vector containing symbols. At least some symbols have a value indicating a pattern of firing events for associated one or more neurons of a neural network (NN). For each symbol in the HD vector having a nonzero value, selecting a subframe of a radio frame and/or a carrier frequency among a set of carrier frequencies, based on a defined mapping between subframes of the radio frame and/or carrier frequencies of the set and the locations of symbols in the HD vector, determining a time offset relative to the selected subframe and/or a frequency offset relative to the selected carrier frequency, based on the value of the symbol, and transmitting an impulse at the determined time offset relative to the selected subframe and/or at the determined frequency offset relative to the selected carrier frequency. (Figure 7)

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