Section: Bilateral Contracts and Grants with Industry

Bilateral Contracts with Industry

Maestro members are involved in the

• Inria Alcatel-Lucent Bell Labs joint laboratory: the joint laboratory consists of six ADRs (Action de Recherche/Research Action) in its second phase (starting October 2012). Maestro members participate in two ADRs (see § 8.1.1 and § 8.1.2 ).

• Inria Alstom joint laboratory: the joint laboratory consists of four projects. Maestro members participate in project P11 (see § 8.1.3 ).

ADR “Self-Organized Networks in Wireless” (July 2008 – June 2016)

Participant : Eitan Altman.

• Contractor: Alcatel-Lucent Bell Labs (http://www.alcatel-lucent.com/bell-labs )

• Collaborators: Laurent Roullet (coordinator), Véronique Capdevielle.

Coordinator for Inria: Bruno Gaujal (team Mescal ).

During the investigations carried out within this ADR, in collaboration with Alcatel-Lucent Bell Labs and wireless eNB teams (System Engineering and Modem), three technical solutions to the LTE Mobility State Estimation problem have been proposed. In particular,

• Three patents have been submitted and filed (two in 2013, and one in 2014);

• A white paper written by the joint team (Inria/Bell-Labs and Wireless SE) summarizing the theoretical baseline of the methods, their performances, as well as the implementation issues, is documented.

These solutions have been set up between Inria and Alcatel-Lucent Bell Labs iteratively after numerous meetings, in order to cope with the product requirements.

ADR “Network Science” (June 2013 – August 2016)

Participants : Konstantin Avrachenkov [coordinator] , Jithin Kazhuthuveettil Sreedharan, Philippe Nain, Giovanni Neglia.

• Contractor: Alcatel-Lucent Bell Labs (http://www.alcatel-lucent.com/bell-labs )

• Collaborators: Philippe Jacquet (coordinator), Alonso Silva.

“Network Science” aims at understanding the structural properties and the dynamics of various kind of large scale, possibly dynamic, networks in telecommunication (e.g., the Internet, the web graph, peer-to-peer networks), social science (e.g., community of interest, advertisement, recommendation systems), bibliometrics (e.g., citations, co-authors), biology (e.g., spread of an epidemic, protein-protein interactions), and physics. The complex networks encountered in these areas share common properties such as power law degree distribution, small average distances, community structure, etc. Many general questions/applications (e.g., community detection, epidemic spreading, search, anomaly detection) are common in various disciplines and are being analyzed in this ADR “Network Science”. In particular, in the framework of this ADR we are interested in efficient network sampling (see § 7.1.2 ).

Project P11 “Data Communication Network Performance” (December 2013 – May 2016)

Participants : Sara Alouf [coordinator] , Konstantin Avrachenkov, Abdulhalim Dandoush, Philippe Nain, Giovanni Neglia, Alina Tuholukova.

• Contractor: Alstom Transport (http://www.alstom.com/transport/ )

• Collaborators: Pierre Cotelle, Pascal Derouet (coordinator from November 2015), Pierre Dersin, Sébastien Simoens (coordinator until October 2015).

The objective of this study is to build a simulation platform (see § 6.2 ) and develop an evaluation methodology for predicting Quality of Service and availability of the various applications supported by the data communication system of train networks.