Tutorial 1

SON for Energy and Spectral Efficiency: Research Challenges in the Key Enabler of 5G and Beyond - Imran, Khan & Sayrac

May 13 (Tuesday), 10:00h - 13:00h

Abstract: In this tutorial we will first introduce SON, by looking at its emergence, prevalent definitions, use cases in cellular systems, desired characteristics, and suitable taxonomies to classify them. We will emphasize on its role in achieving energy efficient operation, i.e. to maximize the number of bits for every joule of energy consumed. We will also analyze what has been achieved in SON, Energy Efficiency and SON for energy efficient operation, to date, including latest standardization activities and industrial progress. This will be followed by engaging technical discussion on selected SON solutions, Energy Efficiency techniques and the framework to assess the energy efficiency of any solution in a self-organized cellular network. The objective is to provide deeper understanding of design process of SON, Energy efficiency of cellular system and its evaluation to reliably quantify its potential gains. Tutorial will be concluded with a comprehensive review of open research challenges in the relevant areas; thereby, we will also examine suitability of various techniques, ranging from deterministic tools to evolutionary heuristics, to address these challenges.

Ali Imran biography: Dr. Ali Imran is an assistant professor in telecommunications at University of Oklahoma-Tulsa since Jan 2014. From Oct 2011 to Jan 2014, he worked as a research scientist at QMIC, Qatar (www.qmic.com). In that position, he conducted research on a wide range of innovative solutions by drawing mainly on disciplines of telecommunications, software development and sensor networks. Currently he is leading a multinational $1.045 million research project on Self Organizing Wireless Networks, QSON (www.qson.org). Before joining QMIC in Oct 2011, since Oct 2007, he was a research fellow (part time and then full time) in wireless systems at Centre for Communication Systems Research, (CCSR) University of Surrey, UK. In that position Dr. Imran has contributed to a number of pan-European and international research projects while working in close collaboration with key industrial players such as NEC Europe Ltd. (UK), Telefónica (Spain), DOCOMO(Germany), Polska Telefonia Cyfrowa (Poland), Qualcomm (Germany), TTI (Spain), mimoOn (Germany), CTTC (Spain), CEA-LETI (France). From March 2002, till Oct 2007 he has worked as a communication lab instructor, BS deployment team leader and RF consultant to a leading telecom company in Pakistan. His research interests include, self-organizing networks, radio resource management and participatory sensing. He has authored over 25 peer reviewed journal and conference papers, 2 book chapters and a patent. He has presented a number of tutorials at international forums including IEEE ICC. He is an Associate Fellow of Higher Education Academy (AFHEA), UK. For further details about Dr. Imran’'s research and collaboration opportunities please visit www.qson.org.

Yasir Khan biography: Yasir Khan is a research engineer at Orange Labs, France and is also pursuing a PhD with Telecom Paris-Tech within an industrial-academic framework. He received B.Eng from the Department of Electronics and Telecommunications Engineering in 2006, M.Tech degree from the Department of Aeronautical Engineering in 2009 both from Visvesvaraya Technological University (VTU), India and MS from Institut Superieur d’Electronique de Paris (ISEP) in 2011. From 2007 to 2010 he was involved in two successful technological startups affiliated with various international software enterprises, held a faculty position at VTU, worked briefly at the Center for Military Airworthiness and Certification (CEMILAC), India. Since 2011 he is working in the department of Radio Engineering for Mobile (REM) networks at Orange Labs, France. He is currently involved with the Celtic+ European project SHARING, working with key industrial and academic collaborators worldwide. He has authored/co-authored over 15 peer-reviewed papers in prestigious journals and conferences and a book chapter for Cambridge University Press. His research interests and activities include Self Organizing Networks (SON), interference management issues in heterogeneous networks (HetNets), network policy management and optimization techniques.






Tutorial 2

Designing Intelligent Energy Harvesting Communication Networks - Gunduz and Zorzi

May 13 (Tuesday), 10:00h - 13:00h

Abstract: Energy harvesting (EH) devices are increasingly being deployed replacing their battery-operated counterparts, when the sheer number of nodes or inaccessibility render battery replacement prohibitive. Their deployment spans autonomous networked systems from M2M and sensor networks, to smart buildings and grid monitoring. In parallel, the global EH market is rapidly expanding; expected to reach 1890M$ by 2017, growing 24% annually. The interest of the research community on EH technologies has steadily been growing as well, manifested by the ever-increasing number of publications and workshops. In contrast to battery-operated devices, where minimizing energy consumption is crucial to prolong lifetime, in EH-powered devices, the objective is the intelligent management of the harvested energy to ensure long-term, uninterrupted operation.

In this tutorial we will focus on analytical models that capture the main challenges: the intermittent nature of harvested energy, limited capacity and leakage in energy storage devices, and the constraints on device size and complexity. We will describe analytical tools from communication theory, Markov decision processes and learning theory, which are employed to characterize optimal policies, and evaluate the performance of low-complexity, near-optimal policies. The tutorial will examine point-to-point as well as multi-user networks and explore the implications of EH on their performance.

Picture of Nuria OliverDeniz Gunduz biography: Deniz Gunduz received the B.S. degree in electrical and electronics engineering from the Middle East Technical University, Ankara, Turkey in 2002, and the M.S. and Ph.D. degrees in electrical engineering from Polytechnic Institute of New York University, Brooklyn, NY in 2004 and 2007, respectively.

Currently he is a Lecturer in the Electrical and Electronic Engineering Department of Imperial College London, London, UK. He was a research associate at CTTC in Barcelona, Spain from November 2009 until September 2012. He also held a visiting researcher position at Princeton University from November 2009 until November 2011. Previously he was a consulting assistant professor at the Department of Electrical Engineering, Stanford University, and a postdoctoral Research Associate at the Department of Electrical Engineering, Princeton University.
He is the recipient of a Marie Curie Reintegration Grant funded by the European Commission, and a recipient of the Best Student Paper Award at the 2007 IEEE International Symposium on Information Theory (ISIT). He has participated in numerous research projects in the US and in Europe. Currently, he is the coordinator of the European research project E-CROPS on energy harvesting communication networks (jointly with CTTC, METU, Imperial College London and EURECOM). Previously, he has led two research projects as the principle investigator, COOPMEDIA (funded by the EU) and JUNTOS (funded by Spanish Ministry of Science and Innovation).
He is an Associate Editor of the IEEE TRANSACTIONS ON COMMUNICATIONS, and served as a guest editor of the EURASIP Journal on Wireless Communications and Networking, Special Issue on Recent Advances in Optimization Techniques in Wireless Communication Networks. He is serving as a co-chair of the IEEE Information Theory Society Student Committee. He is a tutorials co-chair of the 2014 International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), and a co-chair of the Network Theory Symposium at the 2013 and 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP). His research interests lie in the areas of communication theory and information theory with special emphasis on joint source-channel coding, multi-user networks, energy efficient communications and security.

Michele Zorzi biography: Michele Zorzi received his Laurea and PhD degrees in electrical engineering from the University of Padova in 1990 and 1994, respectively. During academic year 1992-1993 he was on leave at UCSD, working on multiple access in mobile radio networks. In 1993 he joined the faculty of the Dipartimento di Elettronica e Informazione, Politecnico di Milano, Italy. After spending three years with the Center for Wireless Communications at UCSD, in 1998 he joined the School of Engineering of the University of Ferrara, Italy, where he became a professor in 2000. Since November 2003 he has been on the faculty of the Information Engineering Department at the University of Padova. His present research interests include performance evaluation in mobile communications systems, random access in mobile radio networks, ad hoc and sensor networks, Internet-of-Things, energy constrained communications protocols, and underwater communications and networking.

He was Editor-In-Chief of IEEE Wireless Communications from 2003 to 2005 and Editor-In-Chief of the IEEE Transactions on Communications from 2008 to 2011, and has been an Editor for several journals and a member of the Organizing or the Technical Program Committee for many international conferences. He was also guest editor for special issues in IEEE Personal Communications (``Energy Management in Personal Communications Systems'') and IEEE Journal on Selected Areas in Communications (``Multimedia Network Radios'' and ``Underwater Wireless Communications and Networking''). He served as a Member-at-Large of the Board of Governors of the IEEE
Communications Society from 2009 to 2011, and is currently its Director of Education.


Tutorial 3

Network Coding: Theory and Implementation - Pedersen, Lucani, and Fitzek

May 13 (Tuesday), 14:30h - 17:30h

Abstract: Network coding has raised a lot of interest in the research community lately and first attempts in standardization bodies are taking place to integrate this ground breaking technology in commercial products. This tutorial will give a short introduction to network coding, but the main focus is to enable the audience to implement their own ideas either in simulations or in real testbeds. Therefore the tutorial organizers will present their own software library for network coding. The software library comes with a small simulation environment to test out first simple relaying topologies. It can be further integrated into NS3 and allows more complex simulations. The tutorial will show how to embed the software library and to do the parameterization for different scenarios. Understanding the impact of different parameter choices are of critical importance in order to successfully deploy network coding in real networks and on real devices. Throughout the tutorial participants will gain hands-on experience with the impact of key parameters such as finite field size, generation size and systematic coding.

The tutorial will also show how to implement the software on commercial platforms such as Raspberry Pis, Android phones, tablets, or laptops. Some demonstrators of network coding will be available showing the full potential of network coding in larger testbeds.

The goal of the tutorial is that each participant understands the basic functionality of network coding and is able to integrate network coding in own projects. The software library is fully accessible to the audience even after the tutorial.

This tutorial will be held for the first time and the implementation of network coding is a very timely topic.

Picture of Frank FitzekFrank Fitzek biography: Frank H. P. Fitzek is a Professor in the department of Electronic Systems, University of Aalborg, Denmark heading the Mobile Device group. He received his diploma (Dipl.-Ing.) degree in electrical engineering from the University of Technology - Rheinisch-Westfälische Technische Hochschule (RWTH) - Aachen, Germany, in 1997 and his Ph.D. (Dr.-Ing.) in Electrical Engineering from the Technical University Berlin, Germany in 2002 and became Adjunct Professor at the University of Ferrara, Italy in the same year. He co-founded the start-up company acticom GmbH in Berlin in 1999. He has visited various research institutes including Massachusetts Institute of Technology (MIT), VTT, and Arizona State University. In 2005 he won the YRP award for the work on MIMO MDC and received the Young Elite Researcher Award of Denmark. He was selected to receive the NOKIA Champion Award several times in a row from 2007 to 2011. In 2008 he was awarded the Nokia Achievement Award for his work on cooperative networks. In 2011 he received the SAPERE AUDE research grant from the Danish government and in 2012 he received the Vodafone Innovation price. His current research interests are in the areas of wireless and mobile communication networks, mobile phone programming, network coding, cross layer as well as energy efficient protocol design and cooperative networking.



Tutorial 4

Spatial Modulation for MIMO Wireless Systems - Di Renzo, Haas, and Ghrayeb

May 13 (Tuesday), 14:30h - 17:30h

Abstract: It is widely recognized that the Long Term Evolution Advanced (LTE-A) is the most promising physical–layer standard of fourth generation (4G) cellular networks. The power consumption of the Information and Communication Technology (ICT) sector in the next decade will highly depend on the Energy Efficiency (EE) of this physical–layer standard. However, at the current stage, the LTE-A may be deemed to be conceived, designed and optimized based on the Spectral Efficiency (SE), with limited consideration of EE issues. In fact, especially at the physical–layer, the primary focus has been on achieving high data rates, without giving much cognizance of EE and implementation complexity. However, this approach is no longer acceptable to future cellular networks.

The LTE–A physical–layer standard heavily relies on MIMO technologies for enhancing the SE. MIMO communications constitute promising techniques for the design of fifth generation (5G) cellular networks. In simple terms, the capacity of MIMO systems is proportional to min{Nt,Nr}, where Nt and Nr represent the number of transmit and receive antennas. This implies that the throughput may be increased linearly with the number of antennas. As a consequence, MIMO techniques can provide high data rates without increasing the spectrum utilization and the transmit power. However, in practice, MIMO systems need a multiplicity of associated circuits, such as power amplifiers, RF chains, mixers, synthesizers, filters, etc., which substantially increase the circuit power dissipation of the Base Stations (BSs). More explicitly, recent studies have clearly shown that the EE gain of MIMO communications increases with the number of antennas, provided that only the transmit power of the BSs is taken into account and their circuit power dissipation is neglected. On the other hand, the EE gain of MIMO communications remains modest and decreases with the number of active transmit–antennas, if realistic power consumption models are considered for the BSs. These results highlight that the design of EE–MIMO communications conceived for multi–user multi–cell networks is a fairly open research problem. In fact, many system parameters have to be considered, such as the bandwidth, the transmit power, the number of active transmit/receive antennas, the number of active users, etc., which all contribute to the fundamental transmit power vs. circuit power dissipation and multiplexing gain vs. inter–user interference trade–offs. As a result, while the SE advantages of MIMO communications are widely recognized, the EE potential of MIMO communications for cellular networks is not well understood. Hence, new air–interface transmission techniques have to be developed that are capable of improving SE and EE at the same time by at least an order of magnitude.

Conventional MIMO communications take advantage of all the antennas available at the transmitter by simultaneously transmitting multiple data streams from all of them. Thus, all transmit–antennas are active at any time instance. By appropriately choosing the transmission/precoding matrices, both multiplexing and transmit–diversity gains can be obtained using MIMOs. The reason behind this choice is that simultaneously activating all transmit–antennas results in SE optimization. Unfortunately, this choice does not lead to EE optimization. In fact, multiple RF chains at the transmitter are needed to be able to simultaneously transmit many data streams, each of them requiring an independent power amplifier that is known to dissipate the majority of the power consumed at the transmitter. These considerations imply that a major challenge of next–generation MIMO–aided cellular networks is the design of multi–antenna transmission schemes with a limited number of active RF chains aiming for reducing the complexity, to relax the inter–antenna synchronization requirements, and inter–channel interference, as well as the signal processing complexity at the receiver, whilst aiming for improving the EE.

In this context, single–RF MIMO design is currently emerging as a promising research field. The fundamental idea behind single–RF MIMO is to realize the gains of MIMO communications, i.e., spatial multiplexing and transmit–diversity, with the aid of many antenna–elements, of which only a few, possibly a single, activated antenna–elements (single–RF front–end) at the transmitter at any modulation instant. The rationale behind the multi–RF to single–RF paradigm shift in MIMO design originates from the consideration that large numbers of transmit–antennas (radiating elements) may be accommodated at the BSs (large–scale MIMO design), bearing in mind that the complexity and power  consumption/dissipation of MIMO communications are mainly determined by the number of simultaneously active transmit–antennas, i.e., by the number of active RF chains.

Fueled by these considerations, SM has recently established itself as a promising transmission concept, which belongs to the single–RF large–scale MIMO wireless systems family, whilst exploiting the multiple antennas in a novel fashion compared to state–of–the–art high–complexity and power–hungry classic MIMOs. In simple terms, SM can be regarded as a MIMO concept that possesses a larger set of radiating elements than the number of transmit–electronics. SM–MIMO takes advantage of the whole antenna–array at the transmitter, whilst using a limited number of RF chains. The main distinguishing feature of SM–MIMOs is that they map additional information bits onto an “SM constellation diagram”, where each constellation element is constituted by either one or a subset of antenna–elements. These unique characteristics facilitate for high–rate MIMO implementations to have reduced signal processing and circuitry complexity, as well as an improved EE. Recent analytical and simulation studies have shown that SM–MIMOs have the inherent potential of outperforming many state–of–the–art MIMO schemes, provided that a sufficiently large number of antenna–elements is available at the transmitter, while just a few of them are simultaneously active.

In a nutshell, the rationale behind SM–MIMO communications design for spectral– and energy–efficient cellular networks is centered upon two main pillars: 1) Given the performance constraints, minimize the number of active antenna–elements in order to increase the EE by reducing the circuit power consumption at the transmitter (single–RF MIMO principle); 2) Given the implementation and size constraints, maximize the number of passive antenna–elements in order to increase both the SE and the EE by reducing the transmit power consumption (large–scale MIMO principle). This is realized by capitalizing on the multiplexing gain introduced by mapping additional bits onto the “SM constellation diagram”.


Picture of Frank FitzekMarco Di Renzo biography: Marco Di Renzo (SM'’05-AM'’07-M'’09) received the Laurea (cum laude) and the Ph.D. degrees in Electrical and Information Engineering from the Department of Electrical and Information Engineering, University of L’'Aquila, Italy, in April 2003 and in January 2007, respectively. In October 2013, he received the Habilitation à Diriger des Recherches (HDR) degree majoring in Wireless Communications Theory, from the University of Paris-Sud XI, France. From August 2002 to January 2008, he was with the Center of Excellence for Research DEWS, University of L'’Aquila, Italy. From February 2008 to April 2009, he was a Research Associate with the Telecommunications Technological Center of Catalonia (CTTC), Barcelona, Spain. From May 2009 to December 2009, he was an EPSRC Research Fellow with the Institute for Digital Communications (IDCOM), The University of Edinburgh, Edinburgh, United Kingdom (UK). Since January 2010, he has been a Tenured Academic Researcher (“"Chargé de Recherche Titulaire"”) with the French National Center for Scientific Research (CNRS), as well as a faculty member of the Laboratory of Signals and Systems (L2S), a joint research laboratory of the CNRS, the Ecole Supérieure d'’Electricité (SUPELEC), and the University of Paris-Sud XI, Paris, France. His main research interests are in the area of wireless communications theory, signal processing, and information theory. Dr. Di Renzo is the recipient of a special mention for the outstanding five–-year (1997-–2003) academic career, University of L'’Aquila, Italy; the THALES Communications fellowship for doctoral studies (2003–-2006), University of L'’Aquila, Italy; the Best Spin–-Off Company Award (2004), Abruzzo Region, Italy; the Torres Quevedo award for research on ultra wide band systems and cooperative localization for wireless networks (2008-–2009), Ministry of Science and Innovation, Spain; the “"Dérogation pour l'’Encadrement de Thèse"” (2010), University of Paris–-Sud XI, France; the 2012 IEEE CAMAD Best Paper Award from the IEEE Communications Society; the 2012 Exemplary Reviewer Award from the IEEE WIRELESS COMMUNICATIONS LETTERS of the IEEE Communications Society; the 2013 IEEE VTC-Fall Student Best Paper Award from the IEEE Vehicular Technology Society for the paper entitled "Performance of Spatial Modulation using Measured Real-World Channels"; the 2013 NoE-NEWCOM# Best Paper Award; the 2013 Top Reviewer Award from the IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY of the IEEE Vehicular Technology Society; the 2013 IEEE/COMSOC Best Young Researcher Award for the EMEA Region; and the 2014 IEEE ICNC Best Paper Award for the IEEE Wireless Communications Symposium of the IEEE Communications Society for the paper entitled "Performance Analysis of Spatial Modulation MIMO in a Poisson Field of Interferers"”. He currently serves as an Editor of the IEEE COMMUNICATIONS LETTERS and of the IEEE TRNSACTIONS ON COMMUNICATIONS (Heterogeneous Networks Modeling and Analysis).