Telcordia Technologies, Inc.

Other

Tti Inventions C LLC

Nytell Software LLC

Bruce Siegell

Richard C Lau

Heechang Kim

Krishna Kant

Richard Lau

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

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

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

Growing community of inventors

Shrewsbury, NJ, United States of America

Bruce Siegell