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.

Fitting of stochastic telecommunication network models via distance measures and Monte---Carlo tests

Abstract: We explore real telecommunication data describing the spatial geometrical structure of an urban region and we propose a model fitting procedure, where a given choice of different non-iterated and iterated tessellation models is considered and fitted to real data. This model fitting procedure is based on a comparison of distances between characteristics of sample data sets and characteristics of different tessellation models by utilizing a chosen metric. Examples of such characteristics are the mean length of the edge-set or the mean number of vertices per unit area. In particular, after a short review of a stochastic-geometric telecommunication model and a detailed description of the model fitting algorithm, we verify the algorithm by using simulated test data and subsequently apply the procedure to infrastructure data of Paris.

Virtual spacing for flexible traffic control

Abstract: Weighted fair queuing emerges as an elegant and effective solution to the problem of integrating real time services with strict delay constraints and high-speed data services for which significant delays cannot always be avoided. Virtual spacing is a weighted fair queuing scheduling algorithm intended to be applied in the context of the ATM based BISDN. After discussing how virtual spacing allows flexible traffic control for a variety of service types, we discuss the issue of its implementation in switching nodes. The aim of the paper is to highlight the advantages of weighted fair queuing in enabling a truly integrated services network and to propose a technologically feasible implementation.

Cryptanalysis of Grain

Abstract: Grain [11] is a lightweight stream cipher proposed by M. Hell, T. Johansson, and W. Meier to the eSTREAM call for stream cipher proposals of the European project ECRYPT [5]. Its 160-bit internal state is divided into a LFSR and an NFSR of length 80 bits each. A filtering boolean function is used to derive each keystream bit from the internal state. By combining linear approximations of the feedback function of the NFSR and of the filtering function, it is possible to derive linear approximation equations involving the keystream and the LFSR initial state. We present a key recovery attack against Grain which requires 2 43 computations and 2 38 keystream bits to determine the 80-bit key.

User requirements for intelligent home environments: a scenario-driven approach and empirical cross-cultural study

Abstract: This paper presents the results of an empirical cross-cultural study conducted at six different sites in five European countries in the context of the EU IST-IP project AMIGO, Ambient Intelligence for the Networked Home Environment [1]. The study employed a scenario-driven approach and used quantitative and qualitative methods to elicit feedback from the target user population on concepts for intelligent home environments. The results are clustered and transformed in prioritized design guidelines.