Publications

2018

• Stochastic Dosimetry Based on Low Rank Tensor Approximations for the Assessment of Children Exposure to WLAN Source
  
  • Chiaramello Emma
  • Parazzini Marta
  • Fiocchi Serena
  • Ravazzani Paolo
  • Wiart Joe
  IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology, IEEE, 2018, 2 (2), pp.131-137. (10.1109/JERM.2018.2825018)
  DOI : 10.1109/JERM.2018.2825018
• Localization Data-Rate Trade-off in Small Cells and Service Differentiation for 5G Networks
  
  • Ghatak Gourab
  • Koirala Remun
  • de Domenico Antonio
  • Denis Benoît
  • Dardari Davide
  • Uguen Bernard
  , 2018, pp.1-5.
• Segmentation of White Matter Tractograms Using Fuzzy Spatial Relations
  
  • Delmonte Alessandro
  • Bloch Isabelle
  • Hasboun Dominique
  • Mercier Corentin
  • Pallud Johan
  • Gori Pietro
  , 2018.
• Parallel Simulation of Very Large-Scale General Cache Networks
  
  • Tortelli Michele
  • Leonardi Emilio
  • Rossi Dario
  IEEE Journal on Selected Areas in Communications, Institute of Electrical and Electronics Engineers, 2018, 36 (8), pp.1871 - 1886.
• Interference Analysis in Dynamic TDD System Combined or not With Cell Clustering Scheme
  
  • Rachad Jalal
  • Nasri Ridha
  • Decreusefond Laurent
  , 2018. Dynamic Time Division Duplex (TDD) has been introduced as a solution to deal with the uplink and downlink traffic asymmetry, mainly observed for dense heterogeneous network deployments. However, the use of this feature requires new interference mitigation schemes capable to handle two additional types of interferences between cells in opposite transmission cycle: downlink to uplink and uplink to downlink interferences. Among them, Cell clustering has been proposed as an efficient solution to minimize inter-cell interferences in opposite transmission directions and somehow responds to the requirements of enhanced Interference Mitigation and Traffic Adaptation (eIMTA) problem. This work is devoted to provide a new analytical approach to model inter-cell interferences and quantify performances of Dynamic TDD system in terms of SINR (Signal to Interferences plus Noise Ratio) distribution. Analytical system performance investigation concerns two scenarios: i) basic Dynamic TDD without any other feature and ii) Dynamic TDD with interference mitigation schemes.
• Big Data : enjeux technologiques et impact scientifique
  
  • Clémençon Stéphan
  Annales des Mines - Enjeux Numériques, Conseil général de l'Économie, ministère de l'Économie et des Finances, 2018 (2), pp.6-8. Les concepts mathématiques et algorithmiques à l’œuvre dans l’apprentissage et la capacité prédictive des machines ne sont pas très nouveaux, mais ils trouvent désormais une utilisa- tion massive avec l’explosion de la quantité disponible de données. Le Big Data attire et fait peur en même temps, les risques qui lui sont associés ne pourront être maîtrisés que si la culture probabiliste et statistique particulière à ce domaine se diffuse bien au-delà du petit monde des data scientists.
• Segmentation des hyper-intensités de la matière blanche en quelques secondes à l'aide d'un réseau de neurones convolutif et de transfert d'apprentissage
  
  • Puybareau Elodie
  • Xu Yongchao
  • Chazalon Joseph
  • Bloch Isabelle
  • Géraud Thierry
  , 2018.
• Transmisson Hub and Terminals for Point to Multipoint W-band TWEETHER System
  
  • Paoloni Claudio
  • Magne François
  • André Frédéric
  • Villebois Joël
  • Le Quang Trung
  • Begaud Xavier
  • Ulisse Giacomo
  • Krozer Viktor
  • Letizia Rosa
  • Marilier Marc
  • Ramirez Antonio
  • Zimmermann Ralph
  , 2018.
• Slant Removal Technique for Historical Document Images
  
  • Kavallieratou Ergina
  • Likforman-Sulem Laurence
  • Vasilopoulos Nikos
  Journal of Imaging, MDPI, 2018, 4 (80).
• Flow-level traffic model for adaptive streaming services in mobile networks
  
  • Yu-Ting Lin
  • Bonald Thomas
  • Elayoubi Salah-Eddine
  Computer Networks, 2018, 137, pp.1-16.
• Quantum Cryptography at the Computational Frontier
  
  • Alleaume Romain
  , 2018.
• Quantum Cryptography
  
  • Gallion Philippe
  , 2018.
• Placement delivery array design for combination networks with edge caching
  
  • Yan Qifa
  • Wigger Michèle
  • Yang Sheng
  , 2018. A major practical limitation of the Maddah-Ali-Niesen coded caching techniques is their high subpacketization level. For the simple network with a single server and multiple users, Yan et al. proposed an alternative scheme with the so-called placement delivery arrays (PDA). Such a scheme requires slightly higher transmission rates but significantly reduces the subpack-etization level. In this paper, we extend the PDA framework and propose three low-subpacketization schemes for combination networks, i.e., networks with a single server, multiple relays, and multiple cache-aided users that are connected to subsets of relays. One of the schemes achieves the cutset lower bound on the link rate when the cache memories are sufficiently large. Our other two schemes apply only to resolvable combination networks. For these networks and for a wide range of cache sizes, the new schemes perform closely to the coded caching schemes that directly apply Maddah-Ali-Niesen scheme while having significantly reduced subpacketization levels. (10.1109/ISIT.2018.8437603)
  DOI : 10.1109/ISIT.2018.8437603
• Energy efficient bandwidth and power allocation for type-I HARQ under the Ricean channel
  
  • Leturc Xavier
  • Le Martret C.
  • Ciblat Philippe
  , 2018.
• A low-power high-performance digital predistorter for wideband power amplifiers
  
  • Manyam Venkata Narasimha
  • Pham Dang-Kièn Germain
  • Jabbour Chadi
  • Desgreys Patricia
  Analog Integrated Circuits and Signal Processing, Springer Verlag, 2018, 97 (3), pp.483-492. (10.1007/s10470-018-1263-9)
  DOI : 10.1007/s10470-018-1263-9
• User Assignment in C-RAN Systems: Algorithms and Bounds
  
  • Ghauch Hadi
  • Rahman Muhammad Mahboob Ur
  • Imtiaz Sahar
  • Qvarfordt Christer
  • Skoglund Mikael
  • Gross James
  IEEE Transactions on Wireless Communications, Institute of Electrical and Electronics Engineers, 2018, 17 (6), pp.3889-3902. (10.1109/TWC.2018.2817223)
  DOI : 10.1109/TWC.2018.2817223
• Mixed delay constraints in Wyner's soft-handoff network,
  
  • Nikbakht Homa
  • Wigger Michèle
  • Shamai Shlomo
  , 2018.
• Coordination de gestion de consommation d'énergie électrique
  
  • Al Zahr Sawsan
  • Forestier Philippe
  • Rousselle Mélaine
  , 2018.
• Wideband Metamaterial Absorber Made of Composite Materials
  
  • Rance Olivier
  • Lepage A. C.
  • Begaud Xavier
  • Soiron M.
  • Barka André
  • Parneix Patrick
  , 2018.
• Connecting Width and Structure in Knowledge Compilation (Extended Version)
  
  • Amarilli Antoine
  • Monet Mikaël
  • Senellart Pierre
  , 2018. Several query evaluation tasks can be done via knowledge compilation: the query result is compiled as a lineage circuit from which the answer can be determined. For such tasks, it is important to leverage some width parameters of the circuit, such as bounded treewidth or pathwidth, to convert the circuit to structured classes, e.g., deterministic structured NNFs (d-SDNNFs) or OBDDs. In this work, we show how to connect the width of circuits to the size of their structured representation, through upper and lower bounds. For the upper bound, we show how bounded-treewidth circuits can be converted to a d-SDNNF, in time linear in the circuit size. Our bound, unlike existing results, is constructive and only singly exponential in the treewidth. We show a related lower bound on monotone DNF or CNF formulas, assuming a constant bound on the arity (size of clauses) and degree (number of occurrences of each variable). Specifically, any d-SDNNF (resp., SDNNF) for such a DNF (resp., CNF) must be of exponential size in its treewidth; and the same holds for pathwidth when compiling to OBDDs. Our lower bounds, in contrast with most previous work, apply to any formula of this class, not just a well-chosen family. Hence, for our language of DNF and CNF, pathwidth and treewidth respectively characterize the efficiency of compiling to OBDDs and (d-)SDNNFs, that is, compilation is singly exponential in the width parameter. We conclude by applying our lower bound results to the task of query evaluation. (10.4230/LIPIcs.ICDT.2018.6)
  DOI : 10.4230/LIPIcs.ICDT.2018.6
• Un seul serveur vous manque, et tout est découplé !
  
  • Bonald Thomas
  • Comte Céline
  • Mathieu Fabien
  , 2018. Les infrastructures de cloud computing reposent sur des grappes de serveurs qui se partagent des requêtes. Leur dimensionnement nécessite de prédire leurs performances. L’un des principaux défis consiste à tenir compte des interactions complexes entre serveurs lorsqu’ils sont mis en commun pour traiter des requêtes en parallèle, en intégrant certaines contraintes comme la localité des données qui restreignent les affectations possibles. Pour les analyser, nous représentons ces contraintes par un graphe d’affectation entre les requêtes et les serveurs ; les ressources sont partagées selon l’équité équilibrée, qui a l’avantage de rendre les performances du système insensibles à la distribution de la taille des requêtes. Notre principale contribution est une nouvelle approche récursive pour calculer les métriques de performance, consistant à décomposer le système en éteignant les serveurs les uns après les autres. Même si la complexité des formules obtenues peut être exponentielle en la taille de la grappe dans le pire cas, nous illustrons leur intérêt pratique en identifiant de vastes familles de structures pour lesquelles elle devient polynomiale. Ceci étend considérablement l’ensemble des systèmes pour lesquels des métriques de performance explicites sont accessibles.
• Impact of Semantic Aids on Command Memorization for On-Body Interaction and Directional Gestures
  
  • Fruchard Bruno
  • Lecolinet Eric
  • Chapuis Olivier
  , 2018. Previous studies have shown that spatial memory and semantic aids can help users learn and remember gestural commands. Using the body as a support to combine both dimensions has therefore been proposed, but no formal evaluations have yet been reported. In this paper, we compare, with or without semantic aids, a new on-body interaction technique (BodyLoci) to mid-air Marking menus in a virtual reality context. We consider three levels of semantic aids: no aid, story-making, and story-making with background images. Our results show important improvement when story-making is used, especially for Marking menus (28.5% better retention). Both techniques performed similarly without semantic aids, but Marking menus outperformed BodyLoci when using them (17.3% better retention). While our study does not show a benefit in using body support, it suggests that inducing users to leverage simple learning techniques, such as story-making, can substantially improve recall, and thus make it easier to master gestural techniques. We also analyze the strategies used by the participants for creating mnemonics to provide guidelines for future work. (10.1145/3206505.3206524)
  DOI : 10.1145/3206505.3206524
• Amélioration du débit des réseaux optiques via TCP Stop-and-Wait sur les commutateurs hybrides
  
  • Minakhmetov Artur
  • Ware Cédric
  • Iannone Luigi
  , 2018. Nous démontrons une augmentation possible de 50% du débit dans les réseaux OPS (Optical Packet Switching) de data centers en remplaçant les commutateurs tout optique par des commutateurs optiquesàoptiques`optiquesà buffersélectroniquesbuffers´buffersélectroniques partagés et en implémentant simultanément les algorithmes TCP Stop-and-Wait.
• LISP-Views: Monitoring LISP at Large Scale
  
  • Li Yue
  • Abouseif Akram
  • Saucez Damien
  • Iannone Luigi
  , 2018.
• A Wideband Mixed-Signal Predistorter for Small-Cell Base Station Power Amplifiers
  
  • Manyam Venkata Narasimha
  • Pham Dang-Kièn Germain
  • Jabbour Chadi
  • Desgreys Patricia
  , 2018, pp.1-5. (10.1109/ISCAS.2018.8351620)
  DOI : 10.1109/ISCAS.2018.8351620