Orange S.A.

About: Orange S.A. is a company organization based out in Paris, France. It is known for research contribution in the topics: Terminal (electronics) & Signal. The organization has 6735 authors who have published 9190 publications receiving 156440 citations. The organization is also known as: Orange SA & France Télécom.

A Framework for End-to-End Service Differentiation: Network Planes and Parallel Internets

Abstract: This article presents a technology-agnostic and a multi-dimensional (i.e., routing, forwarding, and traffic management dimensions) approach for the management of IP network resources to ensure service differentiation with both intra- and inter-domain scope. This article introduces the network plane (NP) and parallel Internets (PI) concepts for achieving service differentiation. Based on these concepts, a functional architecture together with a business model is presented. In addition, this article describes how the proposed approach can become a promising platform for the IP multimedia subsystem (IMS), with the objective of providing end-to-end QoS-enabled multimedia delivery across multiple providers to replace the flow-based reservation mode known as the VoIP resource reservation framework.

Analysis of Shortest Paths and Subscriber Line Lengths in Telecommunication Access Networks

Abstract: We consider random geometric models for telecommunication access networks and analyse their serving zones which can be given, for example, by a class of so-called Cox–Voronoi tessellations (CVTs). Such CVTs are constructed with respect to locations of network components, the nucleii of their induced cells, which are scattered randomly along lines induced by a Poisson line process. In particular, we consider two levels of network components and investigate these hierarchical models with respect to mean shortest path length and mean subscriber line length, respectively. We explain point-process techniques which allow for these characteristics to be computed without simulating the locations of lower-level components. We sustain our results by numerical examples which were obtained through Monte Carlo simulations, where we used simulation algorithms for typical Cox–Voronoi cells derived in a previous paper. Also, briefly, we discuss tests of correctness of the implemented algorithms. Finally, we present a short outlook to possible extensions concerning multi-level models and iterated random tessellations.

Method for quality of service differentiation in packet-mode mobile communication networks

Abstract: The invention relates to a method for managing the quality of service that applies to a packet mode mobile communications network, in particular, characterised in that it includes, in the case of a network overload when accessing the resources of the network in order to execute a service for a network subscriber, a stage that consists in the following, at the level of each of the network nodes: determining an overall priority level for said access to resources, defined by a combination of at least one quality of service parameter related to the type of service and at least one quality of service parameter corresponding to the subscriber priority level, and applying at least one predefined quality of service process to the data stream that corresponds to said service, according to said determined overall priority level.

Process for managing the representation of at least one 3D model of a scene

Abstract: Process for managing the representation of at least one model of a scene including buildings intended to be transmitted to a client The scene is modelled by a multi-scale tree-structured representation Different nodes are associated with the different levels of details of the scene These different nodes are dependent on each other in a tree structure in which at least one son node is defined by information known by a father node and by additional information in respect of the son node A processing operation to simplify the representation is applied to the modelling and priorities for implementing the simplification processing operations are determined by a cost function which takes account of the criterion of the difference in height of the merged buildings

Method for switching rate and bandwidth scalable audio decoding rate

Abstract: A method of bitrate switching on decoding an audio signal coded by a audio coding system, said decoding comprising a post-processing step depending on the bitrate. On switching from an initial bitrate to a final bitrate, said method includes a transition step of continuous change from a signal at the initial bitrate to a signal at the final bitrate, one or both of said signals being post-processed. Application to transmission of VoIP speech and/or audio signals in data packet networks.