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    • 1. 发明申请
    • DEMAND-DRIVEN PRIORITIZED DATA STRUCTURE
    • 需求驱动的优先数据结构
    • WO2008066788A2
    • 2008-06-05
    • PCT/US2007/024394
    • 2007-11-27
    • TELCORDIA TECHNOLOGIES, INC.LAU, RichardKIM, HeeChangSIEGELL, Bruce
    • LAU, RichardKIM, HeeChangSIEGELL, Bruce
    • G01R31/08
    • H04L47/10H04L47/14H04L47/2433H04W40/20H04W40/248H04W84/18Y02D70/142Y02D70/164Y02D70/22Y02D70/38
    • A system and method for optimizing the efficiency of data sharing among a set of radio nodes in a radio environment is provided. The technique includes identifying a data unit and assigning it a class, identifying a connectivity type, computing a significance factor based on connectivity type and assigned class, mapping the significance factor to a priority factor, and scheduling output of the data unit based on the priority factor. A scheduler algorithm can be used for scheduling output. The class can be assigned based on which nodes of the set of radio nodes possess copies of the data unit at a given time. An arbitration process can be used to determine the priority factor. A significance factor weighting algorithm, based on how many nodes will be receiving the data and on how much a node needs the data, can be used to determine the significance factor.
    • 提供了用于优化无线电环境中的一组无线电节点之间的数据共享的效率的系统和方法。 该技术包括识别数据单元并为其分配类别,识别连接类型,基于连接类型和分配的类别计算显着性因子,将显着性因子映射到优先级因子,以及基于优先级调度数据单元的输出 因子。 调度程序算法可用于调度输出。 可以基于该组无线电节点的哪些节点在给定时间拥有数据单元的副本来分配该类。 仲裁过程可以用来确定优先级因子。 基于有多少节点将接收数据以及节点需要多少数据的有效因子加权算法可用于确定显着性因子。
    • 3. 发明申请
    • FEASIBILITY, CONVERGENCE, AND OPTIMIZATION OF LTE FEMTO NETWORKS
    • LTE FEMTO网络的可行性,综合性和优化性
    • WO2011082414A1
    • 2011-07-07
    • PCT/US2011/020099
    • 2011-01-04
    • TELCORDIA TECHNOLOGIES, INCLAU, Richard
    • LAU, Richard
    • H04B7/005
    • H04W52/244H04W52/143H04W52/265H04W52/367
    • Methods and systems used to plan, optimize, and manage LTE femtocell networks describes an analytical framework and algorithms that allow analysis and planning of various femtocell aspects including dynamic adjustment of femtocell power for interference mitigation, and optimization according to user selectable policies. The framework recommends using a hybrid of both distributed control and centralized policy enforcement. An algorithm having two closely related aspects is provided. The first part is an Iterative and Distributed Algorithm (IDA), which is intended to be executed inside the femtocells. The second part of the algorithm is intended to be used as a toolset and is called Analytic Computational Algorithm (ACA), which is intended to be used in a centralized planning and operations center. The ACA provides a set of conditions that are used to check for convergence of the IDA.
    • 用于规划,优化和管理LTE毫微微蜂窝网络的方法和系统描述了一种分析框架和算法,其允许对各种毫微微小区方面进行分析和规划,包括针对干扰减轻的毫微微小区功率的动态调整,以及根据用户可选策略的优化。 该框架建议使用分布式控制和集中式策略执行的混合。 提供了具有两个密切相关的方面的算法。 第一部分是迭代和分布式算法(IDA),其旨在在毫微微蜂窝内执行。 该算法的第二部分旨在用作工具集,称为分析计算算法(ACA),该算法旨在用于集中规划和运营中心。 ACA提供了一组用于检查IDA趋同的条件。
    • 4. 发明申请
    • SELF-CORRECTING ADAPTIVE TRACKING SYSTEM (SATS)
    • 自适应跟踪系统(SATS)
    • WO2009158607A1
    • 2009-12-30
    • PCT/US2009/048840
    • 2009-06-26
    • TELCORDIA TECHNOLOGIES, INC.LAU, RichardKIM, HeechangNEIDHARDT, Arnold
    • LAU, RichardKIM, HeechangNEIDHARDT, Arnold
    • H04M11/04
    • H04W64/00G01S5/0263G01S5/0289H04W76/50
    • A system and method for self and group location and tracking based on ultra wide band ranging among members of the group is presented. The system comprises an anchored station, a plurality of nodes, each node having at least knowledge of where the node is facing and heading, knowledge of all pair wise distances among all of the plurality of nodes, and ability to exchange information among the nodes and with the anchored station via relays. The system and method find a new position estimate of the group in accordance with an adaptive search process based on constraints of the ultra wide band ranging, and the search process enables extracting directional information and adaptively stabilizing orientation of the group. In one embodiment, adaptively stabilizing the orientation of the group is performed using an orientation-correcting polygon matching process.
    • 介绍了基于组内成员之间超宽带范围的自组织定位和跟踪的系统和方法。 该系统包括锚定站,多个节点,每个节点至少知道节点所在的位置和方向,所有多个节点之间的所有成对距离的知识,以及在节点之间交换信息的能力,以及 通过继电器与锚定的站。 该系统和方法基于基于超宽带测距的约束的自适应搜索过程找到组的新位置估计,并且搜索过程能够提取方向信息并且自适应地稳定组的取向。 在一个实施例中,使用定向校正多边形匹配处理来自适应地稳定组的取向。
    • 5. 发明申请
    • MEASUREMENT OF PACKET LOSS RATIO IN A NETWORK USING END-POINT DATA
    • 使用终点数据测量网络中的数据包丢失率
    • WO2004070537A2
    • 2004-08-19
    • PCT/US2004/002343
    • 2004-01-28
    • TELCORDIA TECHNOLOGIES, INC.
    • LAU, RichardCISNEROS, Arturo
    • G06F
    • H04L69/323H04L69/324
    • The packet loss ratio for a network is measured using only end-point packet counter or byte counter data received from ingress and egress network elements, or all edge routers attached to edge network elements in a virtual private network (VPN). After preprocessing the packet count data from the end-points, the data signal is put through a low pass filter of one or more tap sizes to remove high frequency variations in the ingress and egress packet count data due to the inability to sample selected data sets simultaneously. After filtering the data may be integrated in order to increase detection of small amounts of data packet loss. In order to determine if measurable loss has been detected the standard deviation of the signal is calculated over a selected set of data points prior to the window in which the packet loss ratio is calculated. If the detected packet loss is greater than a predetermined detectability threshold based on the computed standard deviation for a target threshold rate for a certain filter size then the loss rate is reported.
    • 仅使用从入口和出口网络元件或者连接到虚拟专用网络中的边缘网络元件的所有边缘路由器接收的端点分组计数器或字节计数器数据来测量网络的分组丢失率 (VPN)。 在从端点预处理包计数数据之后,数据信号通过一个或多个抽头大小的低通滤波器,以消除由于不能对所选数据集进行采样而导致的入口和出口包计数数据的高频变化 同时。 过滤后的数据可能被整合,以增加检测到少量的数据包丢失。 为了确定是否已经检测到可测量的损耗,在计算分组丢失率的窗口之前,在选定的一组数据点上计算信号的标准偏差。 如果基于针对某个过滤器大小的目标阈值速率的所计算的标准偏差,检测到的分组丢失大于预定的可检测性阈值,则报告丢失速率。
    • 6. 发明申请
    • AUTO-IP TRAFFIC OPTIMIZATION IN MOBILE TELECOMMUNICATIONS SYSTEMS
    • 移动电信系统中的自动IP交通优化
    • WO2005017707A2
    • 2005-02-24
    • PCT/US2004/026420
    • 2004-08-13
    • TELCORDIA TECHNOLOGIES, INC.
    • LAU, RichardSIEGELL, Bruce
    • G06F
    • H04L47/10H04L41/0866H04L41/0893H04L41/5003H04L47/193H04L47/20H04L47/22H04L47/2416H04L47/27H04W8/18H04W24/02H04W28/02
    • A system and method for the implementation of fine-grained quality of service in a mobile telecommunications environment uses an Auto-IP policy Decision Point (PDP) to determine what traffic optimizations actions should be taken in reaction to various network conditions. The Auto-IP uses as inputs information from a G b interface probe to determine the user identification of an IP data flow, information from the radio access network (RAN) network management system (NMS) regarding network congestion. The cell traffic information is passed onto a traffic analysis and processing engine, the Auto-IP PDP which maps the real-time traffic information into an n-dimensional traffic model. An automated policy decision guiding algorithm is executed on the n-dimensional traffic model and selects policy based on the traffic and cell congestion conditions, without human intervention. Additionally, a consistency check is performed to ensure that new policies are consistent with existing policies. The policy decision outcome is forwarded to the Auto-IP Traffic Optimizer that acts on the network at a point in the network (G i ) that is different from where traffic problem occurs in the RAN. The Auto-IP Traffic Optimizer implements the decisions of the Auto-IP-PDP by performing traffic shaping, TCP window clamping or other traffic optimizations procedures on a cell-by-cell basis.
    • 用于在移动电信环境中实现细粒度服务质量的系统和方法使用自动IP策略决策点(PDP)来确定应对各种网络状况采取什么流量优化动作。 Auto-IP用作来自Gb接口探测器的输入信息,以确定IP数据流的用户标识,来自无线电接入网络(RAN)网络管理系统(NMS)的关于网络拥塞的信息。 小区业务信息被传递到业务分析和处理引擎,即将实时业务信息映射成n维业务模型的自动IP PDP。 在n维流量模型上执行自动化策略决策指导算法,并在没有人为干预的情况下,根据流量和蜂窝拥塞状况选择策略。 此外,执行一致性检查以确保新策略与现有策略一致。 策略决策结果被转发到在与网络中出现流量问题不同的网络(Gi)中的作用在网络上的自动IP流量优化器。 Auto-IP流量优化器通过在逐单元的基础上执行流量整形,TCP窗口钳位或其他流量优化过程来实现自动IP-PDP的决策。
    • 7. 发明申请
    • SERVICE IMPACT ANALYSIS AND ALERT HANDLING IN TELECOMMUNICATIONS SYSTEMS
    • 电信系统中的服务影响分析和警报处理
    • WO2005079292A2
    • 2005-09-01
    • PCT/US2005/004385
    • 2005-02-11
    • TELCORDIA TECHNOLOGIES, INC.
    • LAU, RichardKANT, KrishnaKHARE, Ram
    • H04L12/24H04M1/00
    • H04L41/042H04L41/044H04L41/0631
    • A system for the prioritization of quality of service (QoS) alerts and the analysis of the impact of such alerts on service uses a service model in which services are broken into one or more service components and sub-components. Creation of a service dependency model, which is driven by different phases of a service, is key to being able to understand how alerts at the lowest level of the network components affect the overall service for which they are but a component. Alerts are assigned a "handle" and a severity level. Rules are defined to be applied to the alerts to create a Component Status Indicator for each component including a handle. As each CSI propagates up towards the top of the service model dependency graph, each CSI gets modified according to predefined rules. A service impact index is created when the CSI is propagated to the top service component. For each service that is impacted, weights (multipler) are defined according to duration of the alert, number of subscribers, number of services, QoS class of the services impacted or other factors defined by user. The weights are used to multiply the SII to obtain the overall impacting index, which is sorted to obtain the priority list. This method can be employed either centrally at a network operations center or in a distributed manner by pre-processing at central offices. Information contained in the handle component of the CSI can be used to perform root cause analysis of the service impacting alerts so as to more efficiently identify and correct problems.
    • 用于优先化服务质量(QoS)警报和对这种警报对服务的影响的分析的系统使用将服务分解成一个或多个服务组件和子组件的服务模型。 创建由服务的不同阶段驱动的服务依赖关系模型是能够理解网络组件最低级别的警报如何影响其所属的整体服务而是组件的关键。 警报被分配一个“句柄”和严重性级别。 规则被定义为应用于警报以为包括句柄的每个组件创建组件状态指示器。 当每个CSI向上传播到服务模型依赖图的顶部时,每个CSI根据预定义的规则被修改。 当CSI传播到顶层服务组件时,创建服务影响索引。 对于受影响的每个服务,根据警报的持续时间,用户数量,服务数量,受影响的服务的QoS等级或用户定义的其他因素来定义权重(乘数)。 权重用于乘以SII以获得整体影响索引,其被排序以获得优先级列表。 该方法可以在网络运营中心集中使用,也可以通过在中心局进行预处理以分布式方式使用。 包含在CSI的句柄组件中的信息可用于对服务影响警报进行根本原因分析,以便更有效地识别和纠正问题。