We are organizing a seminar on modeling, optimization and control in wireless networks, notably 5G, on September 7, 2015, in Telecom ParisTech, rue Barrault, Paris 13ème, Amphi B312.
This seminar is a joint action between RT2 and ANR projects Idefix (lia.univ-avignon.fr/idefix/) et Netlearn (netlearn.enst.fr) which supported both scientifically and financially the organization of the seminar.
- L. Maggi, L. Gkatzikis, G. Paschos, J. Leguay, Partial caching for 5G edge, Huawei Labs [Confidential]
- Sami Mekki and Stefan Valentin, Anticipatory Quality Adaptation for Mobile Streaming: Fluent Video by Channel Prediction, Huawei Labs [Mekki]
- M. Touati, M. Coupechoux, R. El-Azouzi, E. Altman, J-M. Kelif, Controlled Matching Game for Connectivity Management with Nash Bargaining Resource Allocation, Orange Labs, Telecom ParisTech, Université d’Avignon, INRIA [Touati]
- Valerio Bioglio, Frederic Gabry, and Ingmar Land, Optimal placement for coded caching at the edge, Huawei Labs [Bioglio]
- Dimitrios Tsilimantos, Amaya Nogales Gómez and Stefan Valentin, Anticipatory Resource Allocation for Wireless Media Streaming, Huawei Labs [Tsilimantos]
Karthikeyan Sundaresan is a senior researcher in the mobile communications and networking research department at NEC Labs America. He received his M.S. and Ph.D. from the School of ECE at Georgia Tech. His research interests are broadly in wireless networking, systems and mobile computing, and span both algorithm design as well as system prototyping. He is the recipient of best paper awards at IEEE ICNP, IEEE SECON, ACM MobiHoc and ACM CoNEXT and holds over twenty patents. He is a senior member of IEEE and currently serves as an associate editor for IEEE Transactions on Mobile Computing.
Xavier Lagrange est ingénieur de l’Ecole Centrale des Arts et Manufactures (1984), docteur de l’ENST maintenant appelé Télécom ParisTech (1998) et habilité à diriger des recherches (Université Paris XIII). Il est actuellement professeur à Télécom Bretagne et responsable de l’équipe de recherche ADOPNET du département (Réseaux, Télécommunications et Services) de l’IRISA. En recherche, ses domaines d’intérêt portent sur les réseaux radiomobiles 4G et 5G (allocation de ressources radios, dimensionnement, protocoles coopératifs et optimisation inter-couche).
Salah Eddine Elayoubi received his M.S. in telecommunications and networking from the National Polytechnic Institute at Toulouse, France, in 2001, and his Ph.D. and Habilitation in Computer science from the University of Paris VI in 2004 and 2009, respectively. Since 2004, he has been working in Orange Labs as a senior researcher. He is involved in several EU-funded research projects and is member of the Technology Research Institute SystemX. His research interests include radio resource management, modeling and performance evaluation of mobile networks and content centric networking.
Thrasyvoulos Spyropoulos is an Assistant Professor in Eurecom, Sophia-Antipolis. He holds a PhD degree from the University of Southern California (USC), Los Angeles and a diploma in Electrical and Computer Engineering from the National Technical University of Athens (NTUA). Before joining EURECOM he spent a year as a post-doctoral researcher at INRIA, Sophia-Antipolis, and 3 years as a Senior Researcher and Lecturer at ETH Zurich. His research interests include performance analysis, delay-tolerant networks, cellular networks, mobility modeling, and social networks. He has co-authored more than 50 publications in international conferences and journals, has served in the TPC of top-tier conferences, such as ACM Mobihoc, ACM Sigmetrics, and IEEE Infocom, and has co-chaired the ACM CHANTS 2013 and IEEE NetSciCom 2014 workshops. He is also the co-recipient of the best paper awards at IEEE Secon 2008, IEEE WoWMoM 2012, and best paper award runner-up for ACM Mobihoc 2011 and IEEE WoWMoM 2015.
Olivier Marcé joined former Alcatel R&I in 1999 after 2 years in French Research Institute INRIA. Since then, he worked in the field of IP network and IP routing, as well as wireless networking and Active Networking. He managed several international research projects focused on the integration of the IP technologies with mobile radio networks architecture. He is author or co-author or more than 45 patents in the fields of IP and wireless networks.
Title: “Connectivity Meets Computing in the Path to 5G”
Abstract: Networks of tomorrow are more about “user quality of experience” than they are about “network quality of service”. Wireless mobile networks, being an integral part of such a vision, will need to evolve from their current generation (4G LTE) to a more radical one (5G) to cater to such expectations. While connectivity will continue being a key enabler in such a transformation, one cannot ignore the confluence of connectivity and computing that is pervading the mobile ecosystem, both on the user side (eg. smart phones, wearables) as well as on the network side (eg. software-defined mobile networks). This talk will draw from some of our works that aim to push the envelope in connectivity as well as its confluence with computing from the perspective of wireless networks. To this end, I will highlight the growing importance of cloud-driven radio access networks (CRANs) for dense deployments (eg. event centers, stadiums, urban hot-spots); then introduce the notion of a software-defined, front-haul network for C-RANs and show how it can be dynamically orchestrated to not only optimize the RAN performance effectively, but also contribute to green computing in the network. The talk will also highlight our experience in prototyping these solutions on software-defined radios and LTE/WiMAX systems.
Title: Towards Multi-technology seamless access for 5G:a first approach with very tight coupling
Abstract: Aujourd’hui, il est possible d’utiliser les mêmes services sur un réseau fixe et un réseau mobile et d’utiliser un même terminal sur ces réseaux mais il n’y a pas réellement de convergence entre les réseaux. Par exemple, la continuité de session n’est pas assurée en cas de passage d’un accès cellulaire à un accès Wi-Fi. Après avoir présenté les enjeux de la convergence fixe-mobile et les objectifs du projet européen COMBO, nous exposons les principes du couplage étroit entre Wi-Fi et LTE. L’objectif est de permettre une meilleure coopération entre les 2 types d’accès et de bénéficier du nombre important de points d’accès déjà déployés pour augmenter la capacité d’accès mobile. C’est un premier pas vers le déploiement d’un accès multi-technologie sans couture et d’une convergence poussée entre réseaux fixes et mobiles, qui est un point important de la 5G.
Title: “Combining D2D and content caching for mobile network offload”
Abstract: We investigate in this work the network offloading capability of Device to Device (D2D) communication when combined with content caching. We consider a mobile network where a proportion of users are equipped with caches from which other users can retrieve contents using direct D2D communications. In this case, the offloading capacity depends both on the cache performance and the quality of the D2D links. As of the cache performance, we develop an analytical model for the cache hit rate for different content prefetching strategies. We then inject this hit rate in a queuing theory analysis of the network capacity where the macro base station and the D2D links are modeled as coupled Processor Sharing (PS) queues. We develop closed form solutions for the stability region and the performance gains in different spectrum usage scenarios and D2D settings.
Title: “Offloading on the Edge: Flow-based Performance Modeling and Optimization for Mobile Data Offloading”
Abstract: The rapid increase in data traffic demand has overloaded existing cellular networks. Planned upgrades in the communication architecture (e.g. LTE), while helpful, are not expected to keep up with demand. Offloading mobile data over different RATs (e.g. WiFi), caching content on the edge (e.g., at a small cell BS or even at the device), and device-to-device (D2D) communications are seen as necessary components for future cellular networks to withstand the data crunch. In this talk, we will highlight some analytical models that can help study the flow-level performance of such offloading schemes. We will also show how these can be applied to optimize performance, especially when some delay can be traded off with a further reduction in the traffic load served by the (congested) cellular infrastructure.
Titre : “What learning can do for 5G ?”
Abstract: This talk will present ANR project NetLearn objectives and initial results. It will proposes some directions on how learning can be useful in future 5G.