Telcordia Technologies, Inc.

Other

Tti Inventions C LLC

Richard C Lau

Bruce Siegell

Heechang Kim

Arturo Cisneros

Krishna Kant

Yibei Ling

Arnold Leslie Neidhardt

Scott Alexander

Ram Khare

Frank C D Tsai

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.

Demand-driven prioritized data structure

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.

Feasibility, convergence, and optimization of LTE femto networks

A spinnerbait has deviations on its upper arm. The deviations project in directions other than that in which the lure moves through the water, thus providing enhanced shimmer and vibration at minimal cost.

Spinner arm

A computer implemented method for determining geometric impact of anchor placement on localization accuracy and the subset of anchors which mitigates the impact of measurement-induced noise.

System and method for quantifying anchor placement impact placement on location accuracy

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.

Self-correcting adaptive tracking system (SATS)

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 PDP uses as inputs information from a Ginterface 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) 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 optimization procedures on a cell-by-cell basis.

Auto-IP traffic optimization in mobile telecommunications systems

Methods and apparatus are provided to determine performance of a network. A first measurement relating to a first layer of communications in the network and a second measurement relating to a second layer of communications in the network are provided. Based on the first and second measurements, a set of parameters is generated. The performance of the network is then determined based on the generated set of parameters.

Service performance correlation and analysis

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.

Service impact analysis and alert handling in telecommunications systems

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.

Measurement of packet loss ratio in a network using end-point data

A method and system is provided for measuring network performance. The method and system divides a stream of packets flowing through a first point into frames, the first point being any point in the network that supports a packet flow, creates packages corresponding to the frames, correlates each package with packets flowing through a second point, the second point being any point in the network that supports the packet flow, and calculates network performance information based on the correlated packages.

Method and system for measuring IP performance metrics

A fishing lure comprises a lure body and at least one pair of arms configured to simulate the belligerent position of the raised upper arms and suspended lower arms of a crustacean.

Fishing lure assembly

A fishing lure comprises a pair of arms configured to simulate the belligerent position of the raised upper arms and suspended lower arms of a crustacean together with a device for attaching the upper arms to a jig head or other device proximate to a hook.

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Pittsburgh, PA, United States of America

Richard C Lau