METHOD FOR REDUCING SIGNALING MESSAGES AND HANDOVERS IN WIRELESS NETWORKS
    31.
    发明申请
    METHOD FOR REDUCING SIGNALING MESSAGES AND HANDOVERS IN WIRELESS NETWORKS 审中-公开
    在无线网络中减少信令消息和切换的方法

    公开(公告)号:US20150208314A1

    公开(公告)日:2015-07-23

    申请号:US14424541

    申请日:2013-08-05

    Abstract: The method comprising estimating, at least one wireless user device (UE) its own velocity from at least one downlink pilot signal being transmitted by any base station from a plurality of different base stations, and further comprising:—broadcasting each one of said plurality of different base stations a parameter relative to its own cell size;—performing said at least one wireless user device in idle mode cell selections and reselections based on said plurality of base station cell size parameters received and said at least one wireless user device estimated velocity; and—reporting, said at least one wireless user device in connected mode, said estimated velocity and cell sizes of neighboring base stations to a serving base station in order to perform handovers based on said reported estimated velocity and said neighboring base station cell sizes.

    Abstract translation: 所述方法包括:从至少一个下行链路导频信号估计至少一个无线用户设备(UE),所述至少一个下行链路导频信号由任何基站从多个不同的基站发射,并且还包括: - 广播所述多个 不同的基站相对于其自身小区大小的参数; - 基于所接收的所述多个基站小区大小参数和所述至少一个无线用户设备估计速度来执行空闲模式小区选择和重新选择中的所述至少一个无线用户设备; 所述至少一个无线用户设备处于连接模式,所述相邻基站的估计速度和小区大小到服务基站,以便基于所述报告的估计速度和所述相邻基站小区大小进行切换。

    METHOD FOR CANCELLING DOWNLINK INTERFERENCE IN A LTE-ADVANCED NETWORK
    32.
    发明申请
    METHOD FOR CANCELLING DOWNLINK INTERFERENCE IN A LTE-ADVANCED NETWORK 有权
    在LTE高级网络中取消下行链路干扰的方法

    公开(公告)号:US20150195841A1

    公开(公告)日:2015-07-09

    申请号:US14409687

    申请日:2013-06-03

    CPC classification number: H04W72/082 H04J11/0053

    Abstract: The method comprising at least one user device provided with at least four antennas, wirelessly connected to a serving base station having between one and four transmit antennas and suffering interferences from at least one interfering base station having between one and four transmit antennas, establishing a data transmission link among a plurality of antennas, and: applying a time shift delay between said serving base station and said at least one interfering base station in order to avoid collision between Cell Reference Signals (CRS) of serving and interfering base stations when said data transmission is established; and introducing changes on the physical layer for PDSCH transmission and reception aimed at achieving inter-layer interference cancellation, said changes introduced comprising the introduction of a pattern of transmission gaps at symbols (l) and subcarrier indices (k) of interfering cell's CRS signals, which will be exploited by said at least one user device for effective interference cancellation.

    Abstract translation: 该方法包括至少一个用户设备,该用户设备具有至少四个天线,无线连接到具有一个与四个发射天线之间的服务基站,并且遭受来自具有一个与四个发射天线之间的至少一个干扰基站的干扰,建立数据 多个天线之间的传输链路,以及:在所述服务基站和所述至少一个干扰基站之间应用时移延迟,以便在所述数据传输时避免服务和干扰基站的小区参考信号(CRS)之间的冲突 成立 并引入用于实现层间干扰消除的PDSCH发送和接收的物理层的改变,所引入的所述改变包括在干扰小区的CRS信号的符号(1)和子载波索引(k)处引入传输间隙的模式, 这将被所述至少一个用户设备利用以实现有效的干扰消除。

    METHOD AND A SYSTEM FOR ASSIGNING RADIO RESOURCES TO SMALL CELLS IN 3GPP NETWORKS
    33.
    发明申请
    METHOD AND A SYSTEM FOR ASSIGNING RADIO RESOURCES TO SMALL CELLS IN 3GPP NETWORKS 有权
    用于在3GPP网络中评估无线电资源到小细胞的方法和系统

    公开(公告)号:US20150195815A1

    公开(公告)日:2015-07-09

    申请号:US14411716

    申请日:2013-06-03

    Abstract: The method providing by a plurality of eNodeB wireless mobile connectivity to a plurality of User Equipment (UE) and aggregating by means of a node running in non-3GPP network, backhaul load information related to the access line of said plurality of eNodeB or any other remote equipment. The method also, retrieving by a Proxy Serving Gateway (Proxy S-GW) located in said non-3GPP node, said backhaul load information from said non-3GPP node of said plurality of eNodeB; then, communicating said Proxy S-GW with a Service Gateway (S-GW) pertaining to a 3GPP network by means of a standard S1 interface; and finally sending to said S-GW said backhaul load information through said standard S1 interface in order to assign radio resources to said plurality of eNodeB.The system is adapted for implementing the method of the invention.

    Abstract translation: 所述方法通过多个eNodeB无线移动连接提供给多个用户设备(UE)并且通过在非3GPP网络中运行的节点进行聚合,与所述多个eNodeB的接入线相关的回程负载信息或任何其他 远程设备。 该方法还由位于所述非3GPP节点中的代理服务网关(代理服务网关)检索来自所述多个eNodeB的所述非3GPP节点的回程负载信息; 然后通过标准S1接口与3GPP网络相关的服务网关(S-GW)通信所述代理S-GW; 最后通过所述标准S1接口向所述S-GW发送回传负载信息,以便向所述多个eNodeB分配无线电资源。 该系统适于实现本发明的方法。

    METHOD AND SYSTEM FOR PERFORMING MULTIPLE ACCESS IN WIRELESS OFDM CELLULAR SYSTEMS CONSIDERING BOTH SPACE AND FREQUENCY DOMAINS
    35.
    发明申请
    METHOD AND SYSTEM FOR PERFORMING MULTIPLE ACCESS IN WIRELESS OFDM CELLULAR SYSTEMS CONSIDERING BOTH SPACE AND FREQUENCY DOMAINS 有权
    在考虑到两个空间和频域的无线OFDM细胞系统中执行多路访问的方法和系统

    公开(公告)号:US20140348255A1

    公开(公告)日:2014-11-27

    申请号:US14282227

    申请日:2014-05-20

    Abstract: The method comprising a base station equipped with a large number of antennas according to a two-dimensional rectangular array and a number M of cell users, said rectangular array comprising N1 antenna elements along one axis with a regular spacing dx and N2 antenna elements along a perpendicular axis with a regular spacing dy, said users being characterized by angles (θ,φ) in a spherical coordinate system, where in order to achieve orthogonal multiple access the method comprises: selecting a grid spacing (Δu,Δv) in the (u, v) domain; discretizing the (u, v) domain; constructing a set of signals ST[k,l,f]; calculating time-domain excitations AT[n,m,t] for the antenna elements in the array given by coordinates (ndx,mdy) for generation of the downlink transmit signals; and obtaining the frequency contents SR[k,l,f] of the complex baseband signals received from the M users in the uplink.The system implements the method of the invention.

    Abstract translation: 该方法包括:根据二维矩阵阵列和M个小区用户配备大量天线的基站,所述矩阵包括沿着一个轴的N1个天线元素,具有规则的间隔dx和沿着 垂直轴与规则间隔dy,所述用户的特征在于在球面坐标系中的角度(&θ,&phgr)),其中为了实现正交多重访问,该方法包括:选择网格间距(&Dgr; u,&Dgr; v)在(u,v)域中; 离散(u,v)域; 构造一组信号ST [k,l,f]; 计算由坐标(ndx,mdy)给出的用于生成下行链路发射信号的阵列中的天线元件的时域激励AT [n,m,t] 并获得从上行链路中的M个用户接收的复基带信号的频率内容SR [k,l,f]。 该系统实现本发明的方法。

    SYSTEM AND METHOD TO TRIGGER CROSS-LAYER OPTIMIZATIONS IN A NETWORK
    36.
    发明申请
    SYSTEM AND METHOD TO TRIGGER CROSS-LAYER OPTIMIZATIONS IN A NETWORK 审中-公开
    在网络中触发跨层优化的系统和方法

    公开(公告)号:US20140244835A1

    公开(公告)日:2014-08-28

    申请号:US14188024

    申请日:2014-02-24

    CPC classification number: H04L41/5067 H04L41/0823 H04L41/5096 H04L43/0811

    Abstract: The system comprising an application CSO gateway coupled to an application layer that configures and monitors a plurality of Data Center Elements storing computing resources; a network CSO gateway coupled to a network layer that configures and monitors a plurality of Network Elements and to receive requests from said ACG to configure connections, wherein the system further includes a Client entity coupled in an already deployed Network Element or in a Data Center Element configured to monitor a segment of the network where said Client entity is found; an IT-Aware Network Controller coupled to said network layer configured to run operations in and from the network regarding information of said monitored network information and of said Data Center Elements; and interfaces coupling the different elements of the system allowing the interconnection and communication between them.The method of the invention is intended to be implemented by the system of the invention.

    Abstract translation: 该系统包括耦合到应用层的应用CSO网关,其配置和监视存储计算资源的多个数据中心元件; 耦合到网络层的网络CSO网关,其配置和监视多个网络元件并且接收来自所述ACG的配置连接的请求,其中所述系统还包括耦合在已经部署的网络元件或数据中心元件中的客户端实体 被配置为监视发现所述客户端实体的网络的一部分; 耦合到所述网络层的IT感知网络控制器,被配置为关于所述被监视的网络信息和所述数据中心要素的信息在网络内和从网络运行操作; 以及耦合系统的不同元件的接口,允许它们之间的互连和通信。 本发明的方法旨在通过本发明的系统来实现。

    METHOD AND SYSTEM FOR TRAINING AND VALIDATING MACHINE LEARNING IN NETWORK ENVIRONMENTS

    公开(公告)号:US20190294995A1

    公开(公告)日:2019-09-26

    申请号:US16359336

    申请日:2019-03-20

    Abstract: A system and method for training and validating ML algorithms in real networks, including: generating synthetic traffic and receiving it along with real traffic; aggregating the received traffic into network flows by using metadata and transforming them to generate a first dataset readable by the ML algorithm, comprising features defined by the metadata; labelling the traffic and selecting a subset of the features from the labelled dataset used in an iterative training to generate a trained model; filtering out a part of real traffic to obtain a second labelled dataset; and selecting a subset of features from the second labelled dataset used for validating the trained model by comparing predicted results for the trained model and the labels; repeating the steps with a different subset of features to generate another trained model until results are positive in terms of precision or accuracy.

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