IVR5G+: Interconnected Virtual Reality in 5G and Beyond

Friday, December 8, 2017 -
09:00 to 12:30

In conjunction with IEEE Global Communication Conference (GLOBECOM) 2017, Singapore

The call for paper can be found here.


Just recently, the concept of augmented and virtual reality (AR/VR) over wireless has spurred an unprecedented interest from academia and industry. Yet, the success of an immersive VR experience hinges on solving a plethora of grand theoretical and practical challenges cutting across multiple disciplines. This workshop underscores the importance of wireless VR technology as a disruptive use case of 5G (and beyond) harnessing the latest development in storage/memory, fog/edge computing, computer vision, artificial intelligence and others. In this regard, main requirements of wireless interconnected VR are yet to be addressed and key enablers require further investigations. With multiple research avenues and their underlying grand challenges, this workshop focuses on the limitations of current networks and lays down theoretical and practical solutions to spearhead the fruition of wireless VR.

The aim of this workshop is to expose the latest insights from industry and academia on interconnected AR/VR technology in wireless cellular networks. To properly address this timely and trending topic, we adopt a different approach than conventional workshops. During the event, a live survey about the most challenging questions of AR/VR networking will be conducted among researchers in industry and academia. As the workshop proceeds, the survey results will be shown in real time and an expert panel will address them in discussions with invited speakers and the auditorium.

In addition to the panel, the workshop will offer an excellent technical program with technical sessions and oral presentations of regular and invited papers. Topics of interest include but are not limited to the following research topics:

  • “Shannon-like” Theories and Mathematical Foundations

  • Novel Immersive Applications, Software Architectures, and Systems Design

  • Caching/Storage/Memory Techniques for AR/VR

  • Local/Fog/Edge/Cloud Computing Methods for AR/VR

  • Short-Range, Cellular and Quantum Communication Methods for AR/VR

  • Computer Vision and Media Applications for AR/VR

  • Low-latency and ultra-reliability for AR/VR

  • Image processing and coding for VR video

  • Context-information and Analytics for AR/VR

  • User Behavioural Data and Social AR/VR

  • Security and Privacy Concerns in AR/VR Systems

  • Green AR/VR

  • Large Scale Collective and Interconnected VR

  • Localization and Tracking Methods for AR/VR

  • Prototype and Test-bed for Innovative Wireless AR/VR Methods

  • Real-time video streaming or AR/VR

  • Latency and bandwidth requirements for AR/VR

Submission Details

Accepted and presented papers will be published in the IEEE GLOBECOM 2017 Workshop Conference Proceedings and submitted to IEEE Xplore.

Paper submissions must present original research or experiences. Late-breaking advances and work-in-progress reports from ongoing research are also encouraged. Only original papers that have not been published or submitted for publication elswhere can be submitted. All final submissions should be written in English with a maximum paper length of six (6) printed pages (10-point font) including figures without incurring additional page charges (maximum 1 additional page with over length page charge of USD 100 is accepted). Papers exceeding 7 pages will not be accpeted at EDAS. Papers exceeding these limits, multiple submissions, and slef-plagiarized papers may be rejected without further review.

More details can be found here.

Please follow this link for the submission of your paper via EDAS.

Important Dates

Paper Submission: 1 July 2017

Notification Date: 1 September 2017

Final Paper: 1 October 2017

Workshop Organizers

Advisory Committee:

  • Mérouane Debbah, CentraleSupélec and Huawei Technologies, Paris, France

  • Muriel Médard, Massachusetts Institute of Technology, USA

Workshop Chairs:

  • Mehdi Bennis, University of Oulu, Oulu, Finland

  • Stefan Valentin, Huawei Technologies, Paris, France

  • Florian Wamser, University of Würzburg, Germany

Technical Program Chairs:

  • Ejder Baştuğ, Massachusetts Institute of Technology, USA and CentraleSupélec, France

  • Nadia Fawaz, LinkedIn, USA

Web Chair:

  • Kenza Hamidouche, CentraleSupélec, France

Biography of the Organizers

Muriel Médard is the Cecil H. Green Professor in the Electrical Engineering and Computer Science Department at MIT and leads the Network Coding and Reliable Communications Group at the Research Laboratory for Electronics at MIT. She has co-founded two companies to commercialize network coding, CodeOn and Steinwurf. She has served as editor for many publications of the Institute of Electrical and Electronics Engineers (IEEE), of which she was elected Fellow, and she is currently Editor in Chief of the IEEE Journal on Selected Areas in Communications. She was President of the IEEE Information Theory Society in 2012, and served on its board of governors for eleven years. She has served as technical program committee co-chair of many of the major conferences in information theory, communications and networking.

Mérouane Debbah is a Full Professor at CentraleSupelec (Gif-sur-Yvette, France). Since 2014, he is also Vice-President of the Huawei France R&D Center and director of the Mathematical and Algorithmic Sciences Lab. His research interests lie in fundamental mathematics, algorithms, statistics, information & communication sciences research. He is an Associate Editor in Chief of the journal Random Matrix: Theory and Applications and was an associate and senior area editor for IEEE Transactions on Signal Processing respectively in 2011-2013 and 2013-2014. Mérouane Debbah is a recipient of the ERC grant MORE (Advanced Mathematical Tools for Complex Network Engineering). He is a IEEE Fellow, a WWRF Fellow and a member of the academic senate of Paris-Saclay. He has managed 8 EU projects and more than 24 national and international projects. He received 16 best paper awards and is also the recipient of the Mario Boella award in 2005, the IEEE Glavieux Prize Award in 2011 and the Qualcomm Innovation Prize Award in 2012. He is the co-founder of Ximinds and Ulanta.

Mehdi Bennis is an Adjunct Professor at the University of Oulu and Academy of Finland research fellow. He received his M.Sc. degree in Electrical Engineering jointly from the Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland and the Eurecom Institute, Sophia Antipolis, France in 2002. From 2002 to 2004, he worked as a research engineer at IMRA-EUROPE investigating adaptive equalization algorithms for mobile digital TV. In 2004, he joined the Centre for Wireless Communications (CWC) at the University of Oulu, Finland as a research scientist. In 2008, he was a visiting researcher at the Alcatel-Lucent chair on flexible radio, SUPELEC. His main research interests are in radio resource management, heterogeneous and small cell networks, game theory, and machine learning. Mehdi has published more than 90 research papers in international conferences, IEEE journals, book chapters, books and patents. He has co-chaired a number of IEEE HetNets workshops in key conferences including IEEE PIMRC 2012, IEEE ICC 2012, IEEE ICC 2013, IEEE PIMRC 2013, IEEE WCNC 2014. He has given 5 tutorials on HetNets at IEEE PIMRC 2012, IEEE GLOBECOM 2012, IEEE DySPAN 2014, IEEE WCNC 2014 and IEEE GLOBECOM 2014.

Stefan Valentin is Principal Researcher at Huawei’s Mathematical and Algorithmic Sciences Lab in Paris, France. Since 2015, he is leading a team on multimedia traffic optimization and control with the main focus on video and VR. From 2010 to 2015, he was a Member of Technical Staff at Bell Labs, where he worked on wireless resource allocation algorithms for 4G and 5G. Stefan received his Ph.D. in CS with summa cum laude from the University of Paderborn in 2010, has published more than 90 peer-reviewed research papers, filed more than 30 patent applications, and served in the organizing committee of 5 international conferences including IEEE CAMAD and WiOpt. He received the Bell Labs Award for Exceptional Achievements in 2011, the Klaus Tschira Award for Comprehensible Science in 2011, and the Bell Labs Award of Excellence in 2013. In 2015, he was a recipient of Huawei’s Team Award of Excellence and IEEE ComSoc’s Fred W. Ellersick Prize.

Florian Wamser is research associate at the chair of Communication Networks at the University of Würzburg, Germany. He leads the group on Cloud Networks and Internet Applications at the Chair of Prof. Dr.-Ing. Phuoc Tran-Gia. Florian studied at the University of Würzburg and at the Helsinki University of Technology, Finland. In 2014, he worked during a research stay at Intel Labs in Oregon, US. He received his diploma in computer science in 2009. In 2015 he received his Ph.D. The thesis was included in the collected edition of excellent German computer science dissertations of 2015 by the Gesellschaft für Informatik (German Informatics Society). In addition, it was awarded by the Unterfränkischen Gedenkjahrstiftung für Wissenschaft (Franconian Foundation for Science). He took part in many activities of national and European research projects (e.g., BMBF G-Lab, H2020 INPUT, H2020 MONROE). He lectures annually at the Hanoi University of Science and Technology in Vietnam, organizes workshops, and is involved in conference committees. His current research is focused on the analytical and simulative performance evaluation and optimization of Internet applications, cloud networks and related fields.

Ejder Baştuğ is currently a postdoctoral researcher at MIT and CentraleSupélec, working with Muriel Médard and Mérouane Debbah respectively. He obtained his Ph.D. at CentraleSupélec in December 2015, focusing on distributed caching methods in small cell networks. He has been in the executive committee of IEEE WCNC 2014, organizing committee of IEEE BlackSeaCom 2015, technical programme committee of EuCNC 2015, and chair of several international workshops. He is in the organizing committee of one of the two flagship conferences of IEEE Communications Society: IEEE ICC 2017, to be held in Paris. He is the recipient of 2015 of the Supélec Foundation's Best PhD Thesis/Publications Prize, 2016 IEEE Communications Society Best Tutorial Paper Award and 2016 University of Paris-Saclay STIC Doctoral School Best Scientific Contribution Award. His research interests in the field of information theory, machine learning and wireless communications, with particular focus on functional compression and distributed caching. He has given 2 tutorials on caching at IEEE PIMRC 2016 and IEEE GLOBECOM 2016.

Nadia Fawaz is a Staff Software Engineer in Machine Learning/Data Mining at LinkedIn, CA working in the Data Relevance group. Her research and engineering interests include machine learning for personalization, and data privacy. Her work leverages techniques from machine learning, information theory, random matrix theory, statistics and privacy theory, and aims at bridging theory and practice. From 2011 to 2016, she was a principal research scientist at Technicolor research center in Los Altos, CA. From 2009 to 2011, she was a postdoctoral researcher at the Massachusetts Institute of Technology (MIT) /Research Laboratory of Electronics (RLE), Cambridge, MA. She received her Ph.D. degree in 2008 and her Diplome d'ingenieur (M.Sc.) in 2005 both in electrical engineering, from Ecole Nationale Superieure des Telecommunications de Paris and EURECOM, France. She is a Member of IEEE and of ACM. Web: http://nadiafawaz.com.

Kenza Hamidouche was born in Algiers, Algeria. She received her engineering diploma in computer science from Ecole nationale Supérieure d'Informatique, Algiers, in 2012. In 2013, she was selected for a scholarship program at the University of Rennes 1, from which she received her Research Master's degree in computer science. She has finished her Ph.D Thesis in December 2016 at CentraleSupélec, on resource allocation for 5G networks (where she was supervised by Dr. Walid Saad and Prof. Mérouane Debbah). Her research interests include, distributed caching, spectrum sharing, game theory and machine learning.

Program Committee Members

  • Italo Atzeni, Huawei Technologies, France

  • Ejder Bastug, Massachusetts Institute of Technology, USA and CentraleSupélec, France

  • Mehdi Bennis, University of Oulu, Finland

  • Marco Cagnazzo, Telecom ParisTech, France

  • Jacob Chakareski, University of Alabama, USA

  • Sayantan Choudhury, Nokia, USA

  • Ying Cui, Shanghai Jiao Tong University, China

  • Guido Dartmann, Hochschule Trier, Germany 

  • Nadia Fawaz, LinkedIn, USA

  • Philippe Guillotel, Technicolor, France 

  • Kenza Hamidouche, CentraleSupélec, France

  • Kaibin Huang, University of Hong Kong, China

  • Sergey Ikonin, Huawei Technologies, Russia

  • Mingyue Ji, University of Utah, USA

  • Marco Maso, Huawei Technologies, France

  • Joonas Pääkkönen, Aalto University, Finland

  • Georgios Paschos, Huawei Technologies, France

  • Stefan Valentin, Huawei Technologies, France

  • Florian Wamser, University of Würzburg, Germany