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Keynote Lectures

Security for Connected Vehicles in Cyberspace
Jalel Ben-Othman, University of Paris 13, France

Network Slicing an Enabler of 5G
Adlen Ksentini, Eurecom, France

Cooperative Communications, Distributed Coding and Machine Learning
Soon Xin Ng, University of Southampton, United Kingdom


 

Security for Connected Vehicles in Cyberspace

Jalel Ben-Othman
University of Paris 13
France
 

Brief Bio
Prof. Ben-Othman received his B.Sc. and M.Sc. degrees both in Computer Science from the University of  Pierre et Marie Curie, (Paris 6) France in 1992, and 1994 respectively. He received his PhD degree from the University of Versailles, France, in 1998. He is currently full professor at the University of Paris 13 since 2011 and member of L2S lab at CentraleSupélec. Dr. Ben-Othman's research interests are in the area of wireless ad hoc and sensor networks, VANETs, IoT, performance evaluation and  security in wireless networks in general. He was the recipient of the IEEE COMSOC Communication Software technical committee Recognition Award in 2016, the IEEE computer society Meritorious Service Award in 2016,  and he is a Golden Core Member of IEEE Computer Society, AHSN Exceptional Service and Contribution Award in 2018 and the VEHCOM Fabio Neri award in 2018. He is currently in steering committee of IEEE Transaction on Mobile computing (IEEE TMC), an editorial board member of several journals (IEEE Networks, IEEE COMML, JCN, IJCS, SPY, Sensors…). He has also served as TPC Co-Chair for  IEEE Globecom and ICC conferences and other conferences as   (WCNC, IWCMC, VTC, ComComAp, ICNC, WCSP,  Q2SWinet, P2MNET, WLN,....).  He was the chair of the IEEE Ad Hoc and sensor networks technical committee January 2016-2018, he was previously the vice chair and secretary for this committee. He has been appointed as IEEE COMSOC distinguished lecturer from 2015 to 2018 where he did several tours all around the world. He is member of IEEE technical services board since 2016.


Abstract
Vehicular ad hoc network (VANET) has been researched and achieved by several organizations to develop the intelligent transportation system (ITS). VANET is also a specific
case of mobile ad hoc network (MANET) in which nodes are vehicles. The goal of the construction of a VANET network is to make sure of its safety and reliability. Hence, the
development of VANET aims to improve transportation reliability, optimize driving and navigation and enhance the vehicle users safety. Vehicles can self - react in order to avoid
accidents by preventing the proximity location and transporting them to the conductor.
Communications in the VANET are very challenging and existing solutions, for instance, from which the Ad Hoc networking field are not adapted. Some solutions have been
proposed and researched for security in the VANET. However, they have not resolved strictly VANET communication problems.
This is due to some special features of the VANET, including the high speed of vehicles, mobility patterns of vehicles. New efforts at different levels of the communications
systems are required to be present at the routing and security levels.
In this talk we tackle the problems of security in those networks. Existing problems/solutions are showed, issues and perspectives will be exposed as well.  



 

 

Network Slicing an Enabler of 5G

Adlen Ksentini
Eurecom
France
 

Brief Bio
Adlen Ksentini is a COMSOC distinguished lecturer. He obtained his Ph.D. degree in computer science from the University of Cergy-Pontoise in 2005, with a dissertation on QoS provisioning in IEEE 802.11-based networks. From 2006 to 2016, he worked at the University of Rennes 1 as an assistant professor. During this period, he was a member of the Dionysos Team with INRIA, Rennes. Since March 2016, he has been working as an assistant professor in the Communication Systems Department of EURECOM. He has been involved in several national and European projects on QoS and QoE support in future wireless, network virtualization, cloud networking, mobile networks, and more recently on Network Slicing and 5G in the context of H2020 projects 5G!Pagoda and 5GTransformer. He has co-authored over 100 technical journal and international conference papers. He received the best paper award from IEEE IWCMC 2016, IEEE ICC 2012, and ACM MSWiM 2005. He has been awarded the 2017 IEEE Comsoc Fred W. Ellersick (best IEEE communications Magazine’s paper). Adlen Ksentini has given several tutorials in IEEE international conferences, IEEE Globecom 2015, IEEEE CCNC 2017, IEEE ICC 2017, IEEE/IFIP IM 2017. Adlen Ksentini has been acting as TPC Symposium Chair for IEEE ICC 2016/2017, IEEE GLOBECOM 2017, IEEE Cloudnet 2017 and IEEE 5G Forum 2018. He has been acting as Guest Editor for IEEE Journal of Selected Area on Communication (JSAC) Series on Network Softwerization, IEEE Wireless Communications, IEEE Communications Magazine, and two issues of ComSoc MMTC Letters. He has been on the Technical Program Committees of major IEEE ComSoc, ICC/GLOBECOM, ICME, WCNC, and PIMRC conferences. He is currently the Director of IEEE ComSoc EMEA region and Vice-Chair of the IEEE ComSoc Technical Committee on Software (TCS).Available soon


Abstract
Network Slicing is being seen as the 5G solution, allowing to support different types of service while sharing the same infrastructure. Network Slicing relies on the recent advances in Network Softwarization, represented by Software Defined Networking (SDN) and Network Function Virtualization (NFV), to create virtual substrate of the physical infrastructure to elastically adapt the infrastructure to the need of services. Indeed, as envisioned in 5G, the network will be opened to vertical industry, and new stakeholders, to deploy other services than those usually deployed in 4G. Examples of such services are automotive driving, eHealth, industry 4.0, IOT. In this keynote, I will present the key concepts and technologies behind the deployment of NS in 5G, then i will present the recent 5G standard featuring Network Slicing.



 

 

Cooperative Communications, Distributed Coding and Machine Learning

Soon Xin Ng
University of Southampton
United Kingdom
 

Brief Bio
Dr Soon Xin Ng (Michael) received the B.Eng. degree (First class) in electronic engineering and the Ph.D. degree in telecommunications from the University of Southampton, Southampton, U.K., in 1999 and 2002, respectively. From 2003 to 2006, he was a postdoctoral research fellow working on collaborative European research projects known as SCOUT, NEWCOM and PHOENIX. Since August 2006, he has been a member of academic staff in the School of Electronics and Computer Science, University of Southampton. He was involved in the OPTIMIX and CONCERTO European projects as well as the IU-ATC and UC4G projects. He was the principal investigator of an EPSRC project on “Cooperative Classical and Quantum Communications Systems“. He is currently an Associate Professor in telecommunications at the University of Southampton.His research interests include adaptive coded modulation, coded modulation, channel coding, space-time coding, joint source and channel coding, iterative detection, OFDM, MIMO, cooperative communications, distributed coding, quantum communications, quantum error correction codes, joint wireless-and-optical-fibre communications, game theory, artificial intelligence and machine learning. He has published over 240 papers and co-authored two John Wiley/IEEE Press books in this field. He is a Senior Member of the IEEE, a Fellow of the Higher Education Academy in the UK, a Chartered Engineer and a Fellow of the IET.


Abstract
In this contribution, we will investigate how cooperative communications using relay nodes can achieve a higher channel capacity, compared to conventional transmissions. Then, a distributed coding scheme is designed for approaching the corresponding channel capacity. More specifically, a virtual Irregular Convolutional Code (IRCC) is designed based on an iterative learning algorithm and the resultant component encoders are distributed to multiple relay nodes. The near-capacity scheme is applied to an Unmanned Aerial Vehicle (UAV) network for improving the transmission rate at the cell-edge or isolated area. Machine learning algorithm is used to find the optimal location for the UAVs, which serve as the relay nodes. It is shown that a high performing next-generation wireless communications scheme can be created by incorporating cooperative communications, distributed coding and machine learning algorithms.



 



 


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