T1 - Multilayer Analysis of IoT-Based Systems
- Pedro H. J. Nardelli
- Florian Kühnlenz
August, Monday 28, 9.00-12.30 (Room 5.4)
Information and communication technologies are widespread now; it is difficult to exemplify one aspect of our daily life that is completely unrelated to internet. In this context, Internet of Things is an ongoing step towards the automatization of human activities, including not only information interchanges but also material activities and decision-making processes. Traditional approaches in technological and other sciences often reduce the problems, which may hide emergent features of the system in its totality. One example is real-timing pricing in electricity systems and automatic demand-response. As a policy, autonomous IoT-based home appliances may decide to switch on and off, following the same signalling (price). If the decisions are opportunist (i.e. without considering that other devices may act similarly), the strategy designed to stabilize the electricity consumption, turns out to have the opposite effect. Therefore, a different, totalizing, approach is needed to capture features that emerge from interactions of elements based on information. This tutorial is an introduction to this line of research developed by the presenters.
- Pedro H. J. Nardelli received the B.S. and M.Sc. degrees in electrical engineering from the State University of Campinas, Brazil, in 2006 and 2008, respectively. In 2013 he received his doctoral degree in communications/electrical engineering from University of Oulu, Finland, and State University of Campinas following a dual-degree agreement. Nowadays he holds a postdoctoral position at University of Oulu, and his studies are mainly focused on the efficiency of wireless networks and spatio-temporal dynamics of complex systems in general and modern power grids in specific.
- Florian Kühnlenz is a doctoral student at University of Oulu, focusing on agent-based models for electricity systems, constituted by physical, informational and regulatory layers. His background is on Technical Physics, working with mathematical models of synchronization in power grids.
T2 - Complex Systems Science Meets 5G and IoT Networks
- Majid Butt
- Irene Macaluso
- Nicola Marchetti
August, Monday 28, 15.00-18.30 (Room 5.4)
The main goal of the tutorial is to introduce the audience to a framework that draws on concepts from information theory and complex systems science (e.g., excess entropy, signalling complexity, neural complexity) to underpin a new approach to communication networks. Through this framework we will discuss possible modeling tools to expedite innovation throughout telecommunications, by revitalising thinking in this area through the influx of methods from complex systems science to revamp the conceptualization of wireless networks. Development of our framework will proceed in a layered fashion, with a modelling layer forming the foundation of the framework, supporting an analysis layer. The modelling phase will introduce techniques to capture the significant attributes of telecommunications networks and the interactions that shape them through the application of tools such as agent-based modelling and graph theory abstractions to derive new metrics that holistically describe a network. The analysis phase completes the core functionality of our framework by linking the complex systems science inspired metrics to overall network performance. In order to maximize the relevance of our framework to the telecom research and industry communities, the scenarios and use cases we will discuss are rooted in the most relevant, near-future architectures and use cases in 5G communication networks, such as dense small cell deployments, cognitive mobile broadband networks, Internet of Things and sensor networks.
- Dr Majid Butt received the M.Sc. degree in digital communications from Christian Albrechts University, Kiel, Germany, in 2005, and the Ph.D. degree in telecommunications from the Norwegian University of Science and Technology, Trondheim, Norway, in 2011. He was with Qatar University as a Senior Researcher from 2013 to 2015. He is currently a Research Fellow with the CONNECT Center for Future Networks, Trinity College, University of Dublin. He received the Alain Bensoussan PostDoctoral Fellowship from the European Research Consortium for Informatics and Mathematics (ERCIM) in 2011. He held ERCIM Post-Doctoral Fellow positions with the Fraunhofer Heinrich Hertz Institute, Berlin, Germany, and the Interdisciplinary Center for Research in Security, Reliability, and Trust, University of Luxembourg. Dr. Majid’s research interests span the physical and medium access layers, and the cross-layer aspects of
wireless communications, including radio resource allocation, cooperative communications, cognitive radio, green radio communication, dynamic spectrum management and energy harvesting communications. He has authored more than 40 articles in major telecommunication journals, conferences and books in these areas. He has been serving as an Associate Editor of the IEEE ACCESS journal and IEEE Communication Magazine since 2016. He served as a Demo Co-Chair of CROWNCOM 2015, and a Co-Chair of the IEEE WCNC GRASNET Workshop in 2016 and 2017 editions. He is a senior member of IEEE.
- Dr Irene Macaluso is a Senior Research Fellow at CONNECT, Ireland’s research centre for Future Networks and Communications, based at Trinity College, Dublin. Dr. Macaluso received her Ph.D. in Robotics from the University of Palermo in 2007. Dr. Macaluso’s current research interests are in the area of adaptive wireless resource allocation, with particular focus on the design and analysis of market-based mechanisms in the management and operation of reconfigurable wireless networks and the application of machine learning to radio resource sharing. She has published more than 50 papers in internationally peer reviewed journals and conferences. She is Executive Editor of Transactions on Emerging Telecommunication Technologies (ETT) since 2016.
- Dr Nicola Marchetti is Assistant Professor in Wireless Communications at Trinity College Dublin, Ireland, and is a senior researcher of CONNECT / The Centre for Future Networks and Communications. Prof. Marchetti has an education in math and signal processing. He received the Ph.D. in Wireless
Communications from Aalborg University, Denmark in 2007, and the M.Sc. in Electronic Engineering from University of Ferrara, Italy in 2003. He also holds a M.Sc. in Mathematics which he received from Aalborg University in 2010. His former and current collaborations include research projects in cooperation with Samsung, Nokia Siemens Networks, Huawei, Intel Mobile Communications among others. His research interests include: 5G Wireless Communication Systems, Cognitive Radio and Dynamic Spectrum Access, Complex Systems Science, Integrated Optical-Wireless Networks, Massive MIMO Systems, Radio Resource Management, Ultra Dense Networks, and Waveforms. Prof Marchetti has a growing reputation in 5G and has been one of the lead PIs in several EU and industrial projects, e.g. the FP7 ADEL (Advanced Dynamic Spectrum 5G mobile networks Employing Licensed shared access) and NSN Long Term Research project. He authored in excess of 90 journals and conference papers, holds 2 patents, and wrote 2 books and
6 book chapters. He is presently supervising 6 post-docs, 7 PhD students, and supervised one postdoc and 6 PhD students till completion in the past. He won 4 best paper awards at international conferences (including IEEE ICC 2016), gave 1 keynote speech and 14 invited talks, and is an IEEE Senior member.
T3 - New Modulation and Coding Paradigms for 5G and Beyond
- Georg Böcherer
- Fabian Steiner
August, Monday 28, 9.00-12.30 (Room 5.5)
Recently, a lot of new standardization endeavors (DVB-S2X, ATSC 3.0, 3GPP eMBB) dedicate increased attention to improved higher-order modulation and coding approaches in the PHY layer. In particular, geometric shaping (GS) and
probabilistic shaping (PS) are considered as means to overcome the gap to capacity which arises from using the constellation points of regular QAM distributions with uniform distributions. GS tackles this problem by using constellations with non-equidistant spacing, while PS imposes a non-uniform distribution on the constellation points of regular QAM constellations. This tutorial compares both approaches and shows the superiority of PS in terms of achievable rate and implementation flexibility. In particular, we will highlight the new paradigms for communication system design that come along with the increased degrees of freedom. We also put special emphasis on the enabling device of PS, the distribution matcher. For the latter, different implementation approaches are depicted and their individual benefits and application scenarios are explained. The integration of PS with state-of-the-art forward-error correction (FEC) is also considered by means of both binary and non-binary LDPC, Turbo, Polar and hard decision based Staircase codes.
- Georg Böcherer was born in Freiburg im Breisgau, Germany. He obtained his M.Sc. degree in Electrical Engineering and Information Technology from the ETH Zürich, Switzerland, in 2007, and his Ph.D. degree from the RWTH Aachen University, Germany, in 2012. He is now a senior researcher and lecturer at the Institute for Communications Engineering, Technical University of Munich. His current research interests are coding, modulation, and probabilistic shaping for optical, wireless, and wired communications. He served as a co-chair of the Munich Workshop on Coding and Modulation (MCM 2015) and chaired the special session on recent advances in coding for higher order modulation at the 2016 International Symposium on Turbo Codes & Iterative Information Processing. He received the E-plus award for his Ph.D. thesis and his proposal on probabilistic shaping for capacity achieving and rate adaptive communication won the third prize at the 2015 Bell Labs Prize.
- Fabian Steiner was born in Prien am Chiemsee, Germany. He received the B.Sc. degree and M.Sc. degree (with high distinction) in electrical engineering from the Technical University of Munich (TUM), Germany, in 2011 and 2014, respectively. He is now working toward the Ph.D. degree at the Institute for Communications Engineering, TUM. He is supervised by Dr. Georg Böcherer and Prof. Gerhard Kramer. His current research interest include coding, modulation and multi-user massive MIMO systems. He received the Prof. Dr. Ralf Kötter memorial award for his master’s thesis and won the third prize of the 2015 Bell Labs Prize with his proposal on probabilistic shaping for capacity
achieving and rate adaptive communication.
T4 - Full-Duplex Techniques for Beyond 5G Wireless
- Hirley Alves
- Taneli Riihonen
August, Monday 28, 15.00-18.30 (Room 5.5)
In-band full-duplex (FD) technology, by which devices transmit and receive simultaneously on the same frequency band, has attracted a lot of research attention lately. Since FD radios can potentially double the spectral efﬁciency, they are a promising technology for 5G and future wireless networks. However, FD radios suffer from severe self-interference (SI), as well as extra cross-directional coupling between simultaneous uplink and downlink operation which further degrades the overall network performance. Understanding these phenomena poses a quest for signal processing.
Many research groups around the world have proposed promising transceiver designs and new analog or digital signal processing algorithms as well as implemented advanced FD prototypes. Moreover, the ﬁeld has shown that SI can be mitigated almost down to the noise ﬂoor, or even below in some cases. All these accomplishments show the baseline feasibility of FD and its applicability for future wireless networks but, despite these fundamental results and achievements, there are still many challenges and open problems to resolve about FD operation. In order to achieve the full potential of FD transmission, it is necessary to cope with the self-interference and develop new mechanisms and efﬁcient protocols.
In summary, the proposed tutorial covers all the aspects mentioned above by encompassing the current state-of-the-art on signal processing for FD communications. Especially, we will go through the main challenges and discuss the open research problems and applications to future wireless networks at their physical layer related to signal processing aspects. The topic is especially relevant and interesting for the ISWCS’s audience because, due to the physical nature of the SI problem, all the main research challenges and solutions are related to analog and digital signal processing, in addition to electronics and antenna design as well as the digital estimation, modelling and compensation of transceiver hardware impairments thereof.
- Hirley Alves received the B.Sc. and M.Sc. degrees from Federal University of Technology – Paraná (UTFPR), Brazil, in 2010 and 2011, respectively, both in Electrical Engineering. Hirley holds a dual D.Sc. degree from University of Oulu and UTFPR received in 2015. His D.Sc. thesis topics focused on performance Full-Duplex Relaying protocols. Dr. Alves has been working at the Centre for Wireless Communications (CWC), University of Oulu, Finland, since 2011 where he is engaged in several national (Academy of Finland) and international projects such as BeFemto and DUPLO. He has acted as a Workshop chair in EW2016, ICC2017, Globecom 2017 all in Full-Duplex Communications. Hirley presented a tutorial on Full-Duplex (jointly with Dr. Riihonen) at European Wireless 2016, ISWCS 2016 and EUCNC2017. His research interests are cooperative communications, full-duplex technologies, physical-layer security and ultra-reliable low latency communication mechanisms for future wireless networks.
- Taneli Riihonen received the D.Sc. degree in electrical engineering (with distinction) from Aalto University, Helsinki, Finland, in August 2014. He has held various research positions at the Department of Signal Processing and Acoustics, Aalto University School of Electrical Engineering since September 2005, being currently appointed as a Research Fellow. He was a Visiting Associate Research Scientist and an Adjunct Assistant Professor at Columbia University in the City of New York, USA, from November 2014 through December 2015. He has been nominated eleven times as an Exemplary/Top Reviewer of various IEEE journals and is serving as an Editor for IEEE Communications Letters since October 2014 and for IEEE Wireless Communications Letters since May 2017. He received the Finnish technical sector’s award for the best doctoral dissertation of the year in Finland within all engineering sciences. His research activity is focused on physical-layer OFDM(A), multiantenna, relaying and full-duplex wireless techniques with current interest in the evolution of beyond 5G systems.
T5 - Multidimensional Signal Reconstruction and Crowd-Sensing
- Flavio Zabini
August, Monday 28, 9.00-12.30 (Room 4.1)
The tutorial analyzes multidimensional random sampling with uncertainties jointly accounting for signal properties (signal spectrum and spatial correlation) and for sampling properties (spatial distribution of samples described by a point process, sample availability, and non-ideal knowledge of sample positions). First, a brief history of sampling theory is presented from the classic WKS theorem to the recent results on multidimensional random sampling, and fundamentals of spatial point process theory with application to wireless sensor networks (WSNs) are provided. Second, relying on concepts such as spectral representation and reconstruction accuracy metric, the focus moves step by step from regular sampling in time domain to random sampling in multidimensional domain. Moreover, uncertainties on samples positions and sensor measurements are introduced. The reconstructed signal spectrum and the signal reconstruction accuracy are derived as a function of signal and sampling properties. In particular, the signal reconstruction accuracy is first determined in a general case and then specialized for cases of practical interests. Then, optimal interpolation function is derived. Finally, issues typically related to WSNs, such as energy consumption, data loss, and capacity-per-area limitation, are included in the proposed framework. The analysis is corroborated by verifying that previously known results can be obtained as special cases of the general one and by means of a case study accounting for various signal and sample settings.
- Flavio Zabini received the Laurea (summa cum laude) in telecommunications engineering and the Ph.D. in electronic engineering and computer science from the University of Bologna, Italy, in 2004 and 2010, respectively. He is a Researcher at the University of Bologna, Italy. Prior to joining the University of Bologna, he was with the National Research Council (CNR). In 2004, he has developed his master thesis at the University of California, San Diego. In 2008, he worked as a visiting student at the DoCoMo Eurolabs of Munich, Germany. In 2013-2014 he was post-doctoral Fellow at German Aerospace Center (DLR), Cologne, Germany. His research interests involve theory and experimentation of wireless systems and networks, including channel coding for optical links, echo cancellation for on-channel repeaters, random sampling for sensor networks, and performance-fairness trade-off in communications. He serves as editor for KSII Transaction on Internet and Information Systems and has served in the technical committee of several international conferences.
T6 - Spatiotemporal Stochastic Modeling for the Internet of Things
- Moe Win
- Mohamed-Slim Alouini
- Hesham ElSawy
August, Monday 28, 15.00-18.30 (Room 4.1)
The Internet-of-Things (IoT) will lead to a new era of connectivity, sensing, monitoring, and control with a potential to enhance every aspect of our lives and the world. Unleashing the IoT potentials necessitates revolutionary designs and methodologies for wireless networking in order to cope with the unprecedented challenges imposed by the IoT intrinsic characteristics. In particular, the IoT networks are foreseen to emerge in different sectors (e.g., smart cities, public safety, health-care, autonomous driving, etc.), having distinct spatial (e.g., wide-spread topology and massively many nodes), temporal (e.g., sporadic traffic patterns and battery level), and contextual (e.g., heterogeneous devices and diverse applications) aspects. To efficiently design IoT networks, rigorous mathematical models that capture the essences of IoT networks are required. In this context, this tutorial presents spatiotemporal mathematical framework, based on stochastic geometry and queueing theory, as a fundamental basis to model and analyze IoT networks. The theoretical foundations will then be used to design new technologies/services for IoT networks.
- Moe Win is a Professor at the Massachusetts Institute of Technology (MIT). Prior to joining MIT, he was at AT&T Research Laboratories for five years and at the Jet Propulsion Laboratory for seven years. His research encompasses fundamental theories, algorithm design, and experimentation for a broad range of real-world problems. His current research topics include network localization and navigation, network interference exploitation, intrinsic wireless secrecy, adaptive diversity techniques, ultra-wide bandwidth systems, optical transmission systems, and space communications systems. Professor Win is an elected Member-at-Large on the IEEE Communications Society Board of Governors (2011−2013). He was the Chair (2005−2006) and Secretary (2003−2004) for the Radio Communications Committee of the IEEE Communications Society. Dr. Win is currently an Editor-at-Large for the Wireless Communications Letters. He served as Editor (2006–2012) for the IEEE Transactions on Wireless Communications, and as Area Editor (2003–2006) and Editor (1998–2006) for the IEEE Transactions on Communications. He was honored with two IEEE Technical Field Awards: the IEEE Kiyo Tomiyasu Award and the IEEE Eric E. Sumner Award. He received the IEEE Communications Society Edwin H. Armstrong Achievement Award, the International Prize for Communications Cristoforo Colombo, Copernicus Fellowship, the Royal Academy of Engineering Distinguished Visiting Fellowship, the Fulbright Fellowship, the Laurea Honoris Causa from the University of Ferrara, the Technical Recognition Award of the IEEE ComSoc Radio Communications Committee, and the U.S. Presidential Early Career Award for Scientists and Engineers. Professor Win is elected Fellow of the AAAS, the IEEE, and the IET, and was an IEEE Distinguished Lecturer.
- Mohamed-Slim Alouini received the Diplome d’Ingenieur from the École Nationale Supérieure des Télécommunications (TELECOM Paris Tech) and the Diplome d’Etudes Approfondies (D.E.A.) in Electronics with Highest Honors from the Université Pierre et Marie Curie in Paris, both in 1993. He received the M.S.E.E. degree from the Georgia Institute of Technology (Georgia Tech) in 1995, and a Ph.D. in Electrical Engineering from California Institute of Technology (Caltech) in 1998. He also received the Habilitation degree from the Université Pierre et Marie Curie in 2003. Dr. Alouini served as a faculty member in the University of Minnesota, Minneapolis, MN, USA, then in the Texas A&M University at Qatar, Education City, Doha, Qatar before joining King Abdullah University of Science and Technology (KAUST), Thuwal, Makkah Province, Saudi Arabia as a Professor of Electrical Engineering in 2009. His current research interests include design and performance analysis of diversity combining techniques, MIMO techniques, multi-hop/cooperative communications systems, optical wireless communication systems, cognitive radio systems, and multi-resolution, hierarchical and adaptive modulation schemes. Dr. Alouini has published several papers on the above subjects, and he is co-author of the textbook Digital Communication over Fading Channels published by Wiley Interscience. He is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE), a member of the Thomson ISI Web of Knowledge list of Highly Cited Researchers as well as the list of Most Cited Researchers Developed for Shanghai Ranking’s Global Ranking of Academic Subjects 2016 by Elsevier, an IEEE Distinguished Lecturer for the IEEE Communication Society, and a co-recipient of best paper awards in ten IEEE conferences (including ICC, GLOBECOM, VTC, PIMRC, and DySPAN).
- Hesham ElSawy joined the Computer, Electrical, and Mathematical Sciences and Engineering (CEMSE) Division, of the King Abdullah University of Science and technology (KAUST), as a postdoctoral fellow in April 2014. He also has an adjunct affiliation to the school of Computer Science and Engineering, York University, Canada. Dr. ElSawy obtained his Ph.D. degree in Electrical Engineering from the University of Manitoba, Winnipeg, MB Canada, in 2014. During his PhD studies, he worked with TRTech in Winnipeg, as Student Researcher. For his academic excellence, he has received several academic awards, including the Canadian Natural Sciences and Engineering Research Council Industrial Postgraduate Scholarship (NSERC-IPS). He is also distinguished by the IEEE Transactions on Communication as an exemplary reviewer in 2015, 2016 & 2017 and won the best paper award in ICC 2015 small cells and 5G networks workshop. His research interests include statistical modeling of wireless networks, stochastic geometry, and queueing analysis for wireless communication networks.
T7 - Introduction to Simultaneous Information and Power Transfer and Associated Emerging Technologies
- Dushantha Nalin K. Jayakody
- Symeon Chatzinotas
- Shree Krishana Sharma
- Tharindu Dilshan Ponnimbaduge
August, Monday 28, 9.00-12.30 (Room 4.2)
As the fast moving of energy consumption for the ever-increasing demand for ubiquitous broadband wireless communication services, green energy technologies have been continuously studied to construct sustainable and environmentally friendly communication systems. Recently, energy harvested from renewable energy sources, e.g. solar, wind and etc., arises as a striking substitute for conventional on-grid power supplies. They are absolutely free for users and can relieve the global warming effect of lessening the emission of greenhouse gases. Thus, to maintain sustainability, and advance system throughput, energy harvesting (EH) techniques have been proposed to tackle random energy arrivals of renewable sources and efficiently utilize the available energy for wireless transmissions.
RF-EH provides a new paradigm for wireless communication networks by allowing wireless nodes in the network to recharge their power sources from RF signals instead of fixed power lines or traditional energy sources while doing information decoding simultaneously. In this approach, the energy can be harvested from ambient electromagnetic sources or sources that purposely directionally transmit RF energy. Simulations Wireless Information and Power Transfer (SWIPT) is a new paradigm that helps in achieving the 5G goals on green communications by enabling the wireless nodes to self-sustain. This unique combination of information and power are the two significant notions that employ in SWIPT. Also, it helps in defining the “Future Electricity”. This tutorial will focus on the next generation communication systems enabling RF-EH.
This tutorial will provide an overview of simultaneous wireless information and power transfer (SWIPT). The tutorial will start with the fundamental level explanation about Wireless Power Transfer and the detailed explanation about the usefulness of RF energy harvesting. Next, we will explain an architecture of RF energy harvesting device in details and conditions for efficient WPT based on the Friis free space equation. Furthermore, each and every component in an RF energy harvesting device will be explained with conditions for efficient power scavenging from RF signals. The talk mainly emphases the systems with a particular focus on emerging techniques associated with SWIPT such as Massive MIMO, cooperative communications, NOMA, sensors, etc. Out of all emerging technologies, SWIPT enabled cooperative communication and massive MIMO scenarios will be further discussed with sample case studies and results. We explore various key design issues in the development of SWIPT for 5G communications. The tutorial also provides an interesting future research ideas and directions for interesting researchers and postgraduate students.
- Dushantha Nalin K. Jayakody (M’14) received the B. Eng. degree (with first-class honors) from Pakistan and was ranked as the merit position holder of the University (under SAARC Scholarship). He received his MSc degree in Electronics and Communications Engineering from Eastern Mediterranean University, Cyprus (under the University full graduate scholarship) and ranked as the first merit position holder of the department. He received the Ph. D. degree in Electronics and Communications Engineering from the University College Dublin, Ireland. From 2014- 2016, he has held a Postdoc position at the University of Tartu, Estonia and University of Bergen, Norway. From 2016, he is a Assoc. Professor at the Institute of Cybernetics, National Research Tomsk Polytechnic University, Russia. where he also serves as the Director of Tomsk Infocomm Lab. Dr Jayakody has received the best paper award from the IEEE International Conference on Communication, Management and Information Technology (ICCMIT), Warsaw, Poland in April 2017. Dr. Jayakody is a Member of IEEE and he has served as session chair or technical program committee member for various international conferences, such as IEEE PIMRC 2013/2014, IEEE WCNC 2014/2016, IEEE VTC 2015 etc. He currently serves as a lead guest editor for the Elsevier Physical Communications Journal and MDPI Information journal. Also, he serves as a reviewer for various IEEE Transactions and other journals.
- Symeon Chatzinotas (S’06–M’09–SM’13) received the M.Eng. degree in telecommunications from Aristotle University of Thessaloniki, Thessaloniki, Greece, and the M.Sc. and Ph.D. degrees in electronic engineering from the University of Surrey, Surrey, U.K., in 2003, 2006, and 2009, respectively. He is currently a Research Scientist with the SIGCOM Research Group, Interdisciplinary Centre for Security, Reliability, and Trust, University of Luxembourg, Luxembourg, managing H2020, ESA, and FNR projects. In the past, he has worked on numerous RD projects for the Institute of Informatics Telecommunications, National Center for Scientific Research Demokritos, Institute of Telematics and Informatics, Center of Research and Technology Hellas, and Mobile Communications Research Group, Center of Communication Systems Research, University of Surrey, Surrey, U.K. He has authored more than 120 technical papers in refereed international journals, conferences and scientific books. His research interests include multiuser information theory, co-operative/cognitive communications and wireless networks optimization. He was the corecipient of the 2014 Distinguished Contributions to Satellite Communications Award, and Satellite and Space Communications Technical Committee, IEEE Communications Society, and CROWNCOM 2015 Best Paper Award. He is one of the editors of the book Cooperative and Cognitive Satellite Systems (Elsevier, 2015) and was involved in co-organizing the First International Workshop on Cognitive Radios and Networks for Spectrum Coexistence of Satellite and Terrestrial Systems (CogRaN-Sat) in conjunction with the IEEE ICC 2015, London, U.K., June 8–12, 2015.
- Shree Krishna Sharma (S’12-M’15) received the M.Sc. degree in information and communication engineering from the Institute of Engineering, Pulchowk, Nepal; the M.A. degree in economics from Tribhuvan University, Nepal; the M.Res. degree in computing science from Staffordshire University, Staffordshire, U.K.; and the Ph.D. degree in Wireless Communications from University of Luxembourg, Luxembourg in 2014. Dr. Sharma worked as a Research Associate at Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg for two years, where he was involved in EU FP7 CoRaSat project, EU H2020 SANSA, ESA project ASPIM, as well as Luxembourgish national projects Co2Sat, and SeMIGod. He is currently working as a Postdoctoral Fellow at Western University, Canada. His research interests include Internet of Things (IoT), cognitive wireless communications, Massive MIMO, Intelligent small cells, and 5G and beyond wireless systems. He is the author of more than 70 technical papers in refereed international journals, scientific books, and conferences. He received Best Paper Award in CROWNCOM 2015 conference, and for his Ph.D. thesis, he received “FNR award for outstanding PhD Thesis 2015” from FNR, Luxembourg. He is a member of IEEE and has been serving as a reviewer for several international journals and conferences; and also as a TPC member for a number of international conferences including IEEE ICC, IEEE PIMRC, IEEE Globecom, IEEE ISWCS and CROWNCOM.
- Tharindu D. Ponnimbaduge Perera received the B.Sc. degree in Software Engineering (first class Hons) & M.Sc. in GSD from Department of Computing, Faculty of ACES, Sheffield Hallam University, UK. Since 2016 Fall, he is a Ph. D. student at the Institute of Cybernetics, National Research Tomsk Polytechnic University, Russia. His research interests include simultaneous wireless information and power transfer, RF energy harvesting, and channel coding techniques in for SWIPT assisted communications systems. Currently, he is also working as a Research Engineer at the Infocomm lab, Institute of Cybernetics, National Research Tomsk Polytechnic University, Russia.
T8 - Toward 5G Vehicular Networks: When Vehicles Will Talk to Each Other
- Alessandro Bazzi
- Barbara Mavì Masini
August, Monday 28, 15.00-18.30 (Room 4.2)
New vehicles are starting to be equipped with wireless communications technologies to improve safety and provide new services to drivers and passengers. Whereas long range cellular communications are being initially used, the real change will be with short-range technologies enabling direct vehicle-to-vehicle communications, i.e., with the well known and largely experimented IEEE 802.11p/ITS-G5 and the LTE-V2X currently being added in Release 14.
In spite of the huge effort of researchers and engineers in the last decades, many issues are still under investigation due the risk and complexity of the scenario, which includes critical requirements from both safety and security points of view, possibly high speed and moving obstacles affecting wireless propagation, and largely variable densities from sparse nodes to very crowded cases.
In this Tutorial, we aim at giving an overall view of the main technologies available for future vehicular networks and the trends that can be imagined in the next future, by first focusing on IEEE 802.11p/ITS-G5, with the already well defined standards and largely experimented performances, and then extending the discussion to the currently debated LTE-V2X. Many related topics, including the main applications and other complementary technologies like visible light and millimeters wave will be also touched for an overall look at the addressed and open issues in this field. In addition to information collected from standards and studies published by the main research groups worldwide, it is intention of the instructors to also share their main achievements and their own view.
- Barbara M. Masini received the Laurea degree (summa cum laude) in Telecommunications Engineering and the Ph.D. degree in Electronic, Computer Science, and Telecommunication engineering from the University of Bologna, Italy, in 2001 and 2005, respectively. Since 2005, she is a researcher at the Institute for Electronics and for Information and Telecommunications Engineering (IEIIT), of the National Research Council (CNR). Since 2006 she is also adjunct Professor at the University of Bologna.
She works in the area of wireless communication systems and her research interests are mainly focused on vehicular networks, facing several issues, from physical and MAC aspects up to the applications and real field trial implementations. Special attention has been paid to vehicular sensor networks for urban sensing and cellular network offloading. Research is also focused on physical layer aspects for relay-assisted communications, energy harvesting, and on theoretical and experimental activities dealing with visible light communication (VLC).
She is Editor of Elsevier – Computer Communication, Lead Guest Editor of Elsevier Ad Hoc Networks, Special Issue on Vehicular Networks for Mobile Crowd Sensing (2015) and Lead Guest Editor of Mobile Information Systems, Special Issue on Connected Vehicles: Applications and Communication Challenges. She is author of about 30 papers in the field of this tutorial proposal. She is TPC member of several conferences, reviewer for most international journals and for the Italian Ministry of Economic Development (MISE).
- Alessandro Bazzi received the Laurea degree (summa cum laude) and the Ph.D. degree in telecommunications engineering both from the University of Bologna, Italy, in 2002 and 2006, respectively. Since 2002, he works as a researcher with the Institute of Electronics, Computer and Telecommunication Engineering (IEIIT) of the National Research Council of Italy (CNR) and, since the academic year 2006/2007, he acts as adjunct Professor at the University of Bologna.
His work mainly focuses on the performance investigation through field trials, analysis, and simulation of vehicular networks and heterogeneous wireless access networks, with emphasis on medium access control, routing, and radio resource management. Particular interest is currently in LTE-V2V and 5G vehicular networks.
He authored about 30 articles in international conferences and journals in the field of vehicular networks and intelligent transportation systems. He is Editor of Hindawi Mobile Information Systems. He serves as a reviewer for various international journals and conferences and for national projects funded by the Italian Ministry of Economic Development (MISE), and as TPC member for numerous conferences in the field of wireless systems and networks.