Nokia Corporation

Verizon Laboratories Inc.

Ericsson Ab

Telefonaktiebolaget Lm Ericsson (publ)

Gte Laboratories Incorporated

Nokia Siemens Networks Oy

Man Li

Donald E Smith

Kevin J Ma

Prabhudev Navali

Robert Hickey

Paul Tweedale

Daniel Biagini

Roberto Barnes

Raj Nair

Ram Gopal Lakshmi Narayanan

Jianguo Xu

IChang Lin

Tung Ng

Yin-Ling Liong

Yin Ling Liong

Adrian E Conway

Renaud Cuny

Kati Ahvonen

Live streaming video content is processed and stored for real-time delivery of the content, future VoD viewing of the content, and time-shifted viewing of the content, by manipulating a common manifest or playlist. Previously stored content may be reordered and/or recombined in order to provide a personalized content viewing experience.

Rendering content and time-shifted playback operations for personal over-the-top network video recorder

Rendering content for personal over-the-top network video recorder

A live streaming system/method provides cross platform live streaming capabilities to mobile devices. The live streaming system includes a live streaming recorder operative to (1) capture a live media stream generated by a live media source and save the captured live media stream as a recorded stream in a recorded media file, and (2) transcode the recorded stream into a plurality of transcoded media files of respective different media encoding formats. The system further includes a stream distribution subsystem operative to generate a plurality of distributed media streams each generated from one or more of the transcoded media files, each distributed media stream being delivered to a corresponding set of the mobile endpoint devices.

Live streaming media delivery for mobile audiences

A method for estimating end-to-end quality of service (QOS), such as packet loss, delay, and delay jitter, in a packet-switched communications network includes steps for calculating packet loss and packet delay each router output link in a network path and using the packet loss and packet delay calculations for each individual router output link to estimate end-to-end QOS. The method includes calculating the loss probability for all possible numbers of active sources to take into account changes in the number of active sources as active sources connect to and disconnect from the network. As a result, the inventive method allows the number of active sources to vary in its estimation of end-to-end packet loss, delay, and delay jitter for enhanced Internet Protocol network planning.

Method and system for estimating performance metrics in a packet-switched communication network

A policy server is arranged to construct device-neutral policies for configuring CBR for MPLS traffic engineering across a network. The policy server translates the device-neutral policies into device-specific commands (e.g. link attribute definitions and affinity profiles). The policy server defines the link attributes, assigns the link attributes to network interfaces, establishes affinity profiles and attaches the affinity profiles to MPLS tunnels. The link attribute definitions and affinity profiles are shared across the network to construct the policies such that IP operators can configure CBR easily across a network.

System, apparatus and method for supporting constraint based routing for multi-protocol label switching traffic engineering in policy-based management

In mobile IP networks, when a mobile node (MN) moves from one cell to another, handover occurs. The result of the handover is that the MN connects to the network through a new access router (AR). The handover may occur between access routers of the same or different administrative domains. In all cases, the information related to the mobile node has to be transferred from the old AR to the new AR in order to minimize the effect of the change of access routers.

Policy based mechanisms for selecting access routers and mobile context

A policy server operates to configure differentiated services over multi-protocol label switching (Diffserv/MPLS) in a communications network. The policy server enables the definition and deployment of a customer policy, a network policy and a mapping policy. The policy server is arranged to create a group of MPLS tunnels, and associate the tunnels to the mapping policy and the customer policy. The customer policy includes a tunnel group identifier and a tunneling mode, and maps customer traffic to MPLS tunnels. The policy server translates the customer policy, the network policy and the mapping policy into device-specific commands, and then deploys the device-specific commands to the network interfaces of the affected network devices.

Using policy-based management to support Diffserv over MPLS network

Mechanisms for QoS mapping rules on a mobile network between a UMTS layer and an IP layer are provided. A policy server is coupled to the SGSNs and GGSNs on the mobile network and maintains a centralized location for layer QoS mapping on the mobile network. Three mapping mechanisms have been provided, including an out-sourcing mechanism, a provisioning mechanism, and a hybrid mechanism. The out-sourcing mechanism uses the policy server to handle PDP context events and supply the appropriate rules to the appropriate support node. Under the provisioning mechanism, the policy server pushes down the corresponding mapping rules to each support node across the network in advance of any PDP context event. The hybrid mechanism utilizes a combination of the out-sourcing mechanism and the provisioning mechanism. The mechanisms ensure consistent UMTS layer QoS to IP layer QoS mapping across a mobile network.

Mechanisms for policy based UMTS QoS and IP QoS management in mobile IP networks

A method ( ) of estimating the delays that data packets experiences along a path in an IP network is presented. The method involves sending probe packets ( ), transmitted along the same path as the data whose delays are to be estimated, with a frequency dictated by statistics that include Poisson statistics. Information obtained about the delays in the probe packet transmissions may be used to estimate data delays.

Estimating data delays from poisson probe delays

A real-time process estimates the source-destination traffic matrix in a packet-switched communications network. The inputs for the process are a set of aggregate link traffic measurements and a set of source node traffic measurements. The process uses a novel and computationally efficient decomposition method to estimate the traffic matrix. The process also makes uses of Linear Programming (LP) methods to estimate the source-destination traffic matrix.

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Bedford, MA, United States of America

Man Li