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Tutorials offered at VTC2014-Fall

All tutorials will be held on Sunday 14 September 2014.

  Tutorial Name Presented by Time Room
T1Hyper-Dense Heterogeneous Wireless NetworksAbolfazl Mehbodniya, Fumiyuki Adachi (Tohoku University), and Ismail Guvenc (Florida Int. Univ.)8:30–12:00Cypress 1
T2Energy Efficiency in Wireless NetworksF. Granelli (U. Trento), M. Di Renzo (CNRS), G. Kormentzas (U. Aegean), C. Verikoukis (CTTC)13:30–17:00Cypress 1
T3Architectures, Models and Networks for Electric Vehicles in the Smart GridHussein T. Mouftah & Melike Erol-Kantarci (University of Ottawa)8:30–12:00Cypress 2
T4Spatial Modulation for MIMO Wireless SystemsMarco Di Renzo (CNRS–SUPELEC), Harald Haas (Univ. of Edinburgh), Ali Ghrayeb (Texas A&M Univ. Qatar)13:30–17:00Cypress 2
T5The Future of Multiple-Antenna Communications NetworksDaniel W. Bliss (Arizona State University) and Siddhartan Govindasamy (F.W. Olin College of Eng.)8:30–12:00Oak 1
T6Dedicated Short Range Vehicular Communications: Overview, Technical Challenges, and ApplicationsJohn Kenney and Gaurav Bansal (Toyota InfoTechnology Center, USA) 13:30–17:00Oak 1
T7Efficient 3D EM Antenna Modelling for Vehicular ApplicationsWinfried Simon and Christos Oikonomopoulos-Zachos (IMST GmbH)CANCELLED

 

 

T1: Hyper-Dense Heterogeneous Wireless Networks
Presented by: Abolfazl Mehbodniya, Fumiyuki Adachi (Tohoku University), and Ismail Guvenc (Florida Int. Univ.)
Time: 8:30–12:00
Room: Cypress 1

 

Abstract
The information and communication technology (ICT) data traffic is expected to increase 1,000 fold by 2020. This increasing demand is quickly draining the scarce radio resources and will eventually affect our nations' economy. This strongly motivates the need for intensive research on the next generation of wireless networks. Beyond conventional cellular data, machine-to machine (M2M) and device to device (D2D) communication will be responsible for a big portion of the wireless traffic in the next few years. For coping with such traffic growth, it is well known that the major technique for meeting a much needed 1000x capacity improvement will be a byproduct of massive network densification. The idea is to introduce heterogeneous networks (HetNets) having new, additional nodes, such as small cell base stations, deployed within local-area range and making the network closer to the end-users. The integration of macro/micro/pico/small cell base stations (SBSs) with disparate cell sizes and capabilities, has already been approved as a working item in LTE-advanced and 5G. Such hyper-dense and heterogeneous networks (HDHNs) can significantly improve spatial frequency reuse and coverage, thus meeting the wireless capacity crunch. For example, it is envisioned that a viral and hyper-dense deployment of low-cost small cells in the near future, with 200-300 small cells per typical macro cell coverage, approaching one-to-one ratio with the number of UEs. The main goal of this tutorial is to introduce different aspects of designing HDHNs with advanced capabilities while focusing on spectral-efficiency (SE) and energy-efficiency (EE).

Tutorial Objectives
Providing high-speed data communication to trillions of mobile wireless devices, inclusive of smartphones and machine-type devices warrants a significant transformation of the popular cellular communication architecture. Network densification, via the viral and large-scale deployment of small cell base stations, is seen as one cornerstone of this transformation. However, reaping the benefits of this leap toward hyper-dense heterogeneous networks (HDHNs) requires overcoming four key challenges: 1) density, due to trillions of base stations and devices, 2) network dynamics, due to mobility, 3) tradeoff between data rate and energy efficiency, and 4) heterogeneity, in node types and resources.
The goal of this tutorial is to provide a comprehensive introduction on the techniques needed for overcoming these fundamental challenges and for developing the next-generation of analytical tools for designing, modeling, and optimizing energy-efficient HDHNs. The tutorial will start by providing an introduction on the roadmap of wireless networks for the next decade and by motivating the need for energy efficiency and for massive network densification. Then, we will address the first key challenge: mobility in HDHNs. Here, we will introduce mobility state estimation approaches with provable accuracy that brings forward new ideas from stochastic geometry, an important analytical tool for HDHN design. These schemes will provide the necessary fundamental tools for analyzing mobility in hyper-dense wireless systems. We will then, extend these approaches to develop energy-efficient handover and cell selection mechanisms by using fuzzy logic techniques. These approaches will be centered on optimizing the tradeoff between the quality-of-service (capturing both rate and handover failure) and the energy efficiency. Subsequently, we will comprehensively address a key design issue in HDHNs: self-organization. Beyond expanding the stochastic geometry approaches to handle self-organization, we will introduce game theory, a robust mathematical framework that allows to handle self-optimization in wireless systems. Beyond introducing the basics of game theory, we will discuss its applications for energy-efficient self-organizing networks, while particularly focusing on notions from large population stochastic games that are suitable to capture the scale and dynamics of HDHN environments.
In a nutshell, this tutorial will provide the audience with
• A comprehensive knowledge of current trends and developments in wireless communications with a focus on hyper-dense systems which will be the pillar of next-generation wireless networks.
• The challenges and design problems facing the introduction of sustainable, energy-efficient communication systems.
• An overview on the state-of-the-art results and literature on HDHNs and the key roadmap for the future.
• A comprehensive overview on innovative techniques, such as stochastic geometry and game theory that can be used in designing SON and radio resource management modules for HDHNs.
• Future research directions and open problems.

Tutorial Outline

    1. Brief overview of the past four generations of wireless networks and recent trends for the next generation of wireless networks
      Preliminary R&D works for defining different aspects of 5G networks have already started and different international consortiums, e.g., METIS 2020, and task forces are formed. At the beginning of this tutorial, we first discuss what we have achieved so far by the 4th generations of wireless networks and what we may expect from the upcoming 5G. We particularly focus on massive network densification and emerging trends such as hyper-dense wireless heterogeneous networks. Next, we discuss the newest state-of-the-art proposals and specifications discussed by leading international wireless R&D companies for 5G.
    2. Overview of EE in wireless communications and its importance as one of the fundamental issues in HDHNs
      We introduce the main challenges of energy efficiency in wireless communication systems from different perspectives. Then, we present the recent achievements in energy-efficient design techniques for different wireless communications standards and algorithms such as, HetNet, distributed antenna networks, etc. We provide an in-depth study on how such techniques can scale for HDHNs
    3. Mobility state estimation for HDHNs
      One of the main features of HDHNs is the ability to support trillions of devices due to exponentially increased M2M and D2D communications. As a result, mobility management becomes a critical issue. In this part of the tutorial we first discuss the importance of small cell deployment as a candidate for improving the capacity and providing ubiquitous connectivity to trillions of machine type devices (MTDs) in 5G. Later, we introduce stochastic geometry as a powerful tool for mobility state estimation algorithms with high accuracy
    4. Speed Dependent Handover Management and EE Enhancement
      Based on the topics discussed in previous section, here we present a fuzzy logic based cell-selection and handover algorithm for HDHNs, which uses the estimated mobile velocity
    5. Self-organizing networks (SONs) and EE Optimization
      In this part of the tutorial we address another important issue in HDHNs: self organization. Here, we will first discuss: (1) stochastic-geometry based design/optimization of key SON parameters, jointly considering SE and EE; (2) expansion of the analysis into more than two tiers, and design guidelines for multi-tier HDHNs; and (3) Incorporation of QoS differentiation between MTDs and regular user equipments (UEs), in which modified cell selection, fairness, and EE criteria will be applied for different device types
    6. Game Theory for SON Optimization
      HDHNs are characterized by their scale and dynamics. In this respect, game theory is expected to play a critical role towards deploying intelligent, distributed, and flexible communication systems in which network devices can make independent and rational strategic decisions, smartly adapting to their environment. In this part of the tutorial, we introduce game theory in both of its branches: cooperative and non-cooperative game theory. We discuss their use as a distributed optimization tool for HDHNs. In particular, we introduce notions from large population games, and discuss their use for optimizing HDHNs, in general, and for energy-efficient wireless design, in particular
    7. Conclusions and future directions

Primary Audience
• Researchers and communication engineers in both industry and academia looking for a comprehensive introduction on future wireless systems, their architecture, and potential applications.
• Researchers and communication engineers interested in learning new network design tools such as stochastic geometry and game theory which are of paramount importance for the analysis of next-generation systems in hyper-dense environments.
• Graduate students pursuing interdisciplinary wireless and networking research who are interested in studying novel network planning, design, and optimization techniques.

Novelty
The tutorial discusses the state of the art advances in wireless communications. Specifically, we discuss recent issues such as energy-efficiency and 5G, which are still in the early stages of development and under discussion in scientific communities.

Biography
Abolfazl Mehbodniya received his PhD from INRS-EMT University of Quebec, Montreal, Canada in 2010. He has 10+ years of experience in electrical engineering, wireless communications, and project management. He has over 40 published conference and journal papers in the areas of radio resource management, sparse channel estimation, interference mitigation, short-range communications, 4G/5G design, OFDM, heterogeneous networks, artificial neural networks (ANNs) and fuzzy logic techniques with applications to algorithm and protocol design in wireless communications. He is the recipient of JSPS fellowship for foreign researchers, JSPS young faculty startup grant and KDDI foundation grant.
Fumiyuki Adachi is an IEEE Fellow and an IEICE Fellow. He is a pioneer in wireless communications since 1973 and has largely contributed to the design of wireless networks from 1 generation (1G) to 4G. He is listed on ISIHighlyCited.com and is an IEEE Vehicular Technology Society Distinguished Lecturer since 2012. He is a vice president of IEICE Japan since 2013. He was a recipient of the IEEE Vehicular Technology Society Avant Garde Award 2000, IEICE Achievement Award 2002, Thomson Scientific Research Front Award 2004, Ericsson Telecommunications Award 2008.
Ismail Guvenc received his Ph.D. degree in electrical engineering from University of South Florida in 2006, with an outstanding dissertation award. He was with Mitsubishi Electric Research Labs during 2005, and with DOCOMO Innovations Inc. between 2006-2012, working as a research engineer. Since August 2012, he has been an assistant professor with Florida International University. His recent research interests include heterogeneous wireless networks and future radio access beyond 4G wireless systems. He has published more than 80 conference and journal papers, and several standardization contributions. He co-authored/co-edited three books for Cambridge University Press, is an editor for IEEE Communications Letters and IEEE Wireless Communications Letters, and was a guest editor for four special issue journals/magazines on heterogeneous networks.

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T2: Energy Efficiency in Wireless Networks
Presented by: F. Granelli (U. Trento), M. Di Renzo (CNRS), G. Kormentzas (U. Aegean), C. Verikoukis (CTTC)
Time: 13:30–17:00
Room: Cypress 1

 

Abstract
With the increasing growth of wireless access to the Internet and its services, wireless networks represent a key communication infrastructure for ubiquitous connectivity. The need to support exponential growth in data traffic as well as availability of several mobile devices (smartphones, tablets, etc.) is leading to a sharp increase in the number of base station devices and in their complexity, leading to a consequent increase in power usage and consumption. Indeed, high power consumption can represent a limiting factor for the scalability of next generation wireless networks.
The tutorial will first present an overview of power consumption in wireless networks, aimed at identifying the major sources of power consumption and to define proper benchmarks for performance evaluation. Based on such analysis, different architectural and technological solutions will be proposed in order to reduce or optimize energy consumption in wireless networks. Based on the reference heterogeneous scenario of coexisting 3G LTE macro/pico/femto base stations, relay terminals, WiFi WLANs, etc. the tutorial will survey the relevant solutions at the PHY, MAC and network level, as well as advanced paradigms related to cooperation, network coding and cognition.
All major solutions will be analyzed and compared by offering the unique vision provided by the EU-funded GREENET project, with detailed simulations as well as real testbed experiments.

Tutorial Objectives
The main objective of the tutorial is to provide a comprehensive review of the existing and expected (future) solutions to enable the design of energy efficient wireless networks. The issue of energy efficiency in wireless networks is of extreme interest both from the research community as well as industry, impacting directly on the cost related to running such communication infrastructure. It is a timely topic, since green wireless represents a hot topic, supported by relevant recent works in the literature. The intended audience includes Ph.D. students, researchers, professionals working in the communications field.
It is to be noted that the speakers belong to a relevant education initiative, the FP7 GREENET Initial Training Network, whose goal is to provide training to the next generation of green wireless researchers and professional.

Tutorial Outline

    1. Introduction and motivation (why is energy efficiency relevant? why wireless?)
    2. The general picture and advent of green radio
      a. Typical operator's power consumption breakdown
      b. The green dimensions: a taxonomy for green wireless networking techniques (time, space, scope, method, performance)
      c. Reference scenarios and metrics
    3. Energy efficient PHY design
      a. Large-Scale Single-RF vs. multi-RF MIMO: The case of Spatial Modulation MIMO (SM-MIMO)
      b. SM-MIMO: Motivation and operating principle
      c. SM-MIMO: Fundamental trade-offs (spectral vs. energy efficiency, performance vs. complexity)
      d. SM-MIMO: Experimental results and channel measurements from a testbed platform
      e. SM-MIMO: Research challenges and opportunities
    4. Energy efficient design of MAC and RRM
      a. Tradeoffs in terms of energy saving vs. performance, coverage, QoS, spectral efficiency, etc.
      b. Characterization of energy consumption patterns of real devices
      c. QoS-constrained MAC design
      d. Heterogeneous network planning
      e. How to experiment on MAC/RRM? The OpenMAC framework
    5. Energy efficiency through cross-layering and network coding
      a. Energy efficient relaying
      b. MAC/network coding cross-layer collaboration
      c. Theoretical and practical results of network coding for energy efficiency
    6. Emerging paradigms for future green wireless networks
      a. Short range cooperative schemes for energy efficient communications
      b. Green spectrum access through cognitive radio
      c. Regulatory models
      d. Green spectrum management
      e. Spectrum allocation algorithms (backtracking, pruning, simulated annealing, genetic)
      f. Heterogeneous cellular architectures: access points densification vs. large-scale multi-antenna deployments
    7. Final remarks, conclusions and outline for research directions on the topic

Primary Audience
The intended audience includes Ph.D. students, researchers, professionals working in the communications field.

Novelty
It is to be noted that the speakers belong to a relevant education initiative, the FP7 GREENET Initial Training Network, whose goal is to provide training to the next generation of green wireless researchers and professional.

Biography
Fabrizio Granelli is IEEE ComSoc Distinguished Lecturer for 2012-15, and Associate Professor at the University of Trento (Italy). From 2008, he is deputy head of the academic council in Information Engineering. He is author or co-author of more than 130 papers on networking, with focus on wireless communications and networks. He was General Chair of the 11th and 15th IEEE Workshop on Computer-Aided Modeling, Analysis, and Design of Communication Links and Networks (CAMAD’06 and IEEE CAMAD’10). He is TPC Co-Chair of IEEE GLOBECOM Symposium on “Communications QoS, Reliability and Performance Modeling” in the years 2007, 2008, 2009 and 2012. He was officer (Secretary 2005-2006, Vice-Chair 2007-2008, Chair 2009-2010) of the IEEE ComSoc Technical Committee on Communication Systems Integration and Modeling (CSIM), and Associate Editor of IEEE Communications Letters (2007-2011).

Marco Di Renzo (SM-IEEE) is a Tenured Academic Researcher with the French National Center for Scientific Research (CNRS)and a faculty member of the Laboratory of Signals and Systems (SUPELEC, U. Paris-Sud XI). He is a recipient of several awards, which include the 2013 IEEE-COMSOC Best Young Researcher Award for Europe, Middle East and Africa. He is an Editor of IEEE-COMML and IEEE-TCOM.

Georgios Kormentzas is currently Assistant Professor in the University of the Aegean, Dep. of Information and Communication Systems Engineering. He received the Ph.D. in Computer Engineering from the National Technical University of Athens (NTUA), Greece in 2000. He has been actively working for many years on the area of network management and quality of service of computer and communication systems where he has introduced the concept of abstract information model, an ancestor of next generation networking middleware, which constitutes his main current research interest along with event-based distributed systems.

Christos Verikoukis got his Ph.D. from the Technical University of Catalonia in 2000. He is currently a Senior Researcher at CTTC and an adjunct professor at UB. He has published 50 journal papers and over 120 conference papers. Dr. Verikoukis has participated more than 20 competitive projects and has served as the Principal investigator in 3 national (Greece and Spain) and as technical manager in 7 Marie-Curie and 2 Celtic projects.

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T3: Architectures, Models and Networks for Electric Vehicles in the Smart Grid
Presented by: Hussein T. Mouftah & Melike Erol-Kantarci (University of Ottawa)
Time: 8:30–12:00
Room: Cypress 2

 

Abstract
Electric vehicles pose a number of challenges to the smart grid due to their heavy charging load while vehicle batteries emerge as promising Distributed Energy Resources (DERs) that can be used for the benefit of the smart grid. Challenges and opportunities emerging from electric vehicle integration to the smart grid brought forward numerous recent works that address architectures, models and networks to enable communications and control for electric vehicles. Electric vehicle and smart grid interaction is a newly flourishing research field receiving significant attention from communications, power and automotive societies. This tutorial aims to equip the audience with a comprehensive background on the subject matter, present state-of-the-art architectures, models and networks in the domain and provide a thorough list of open issues which is invaluable for the researchers who are planning to steer their research direction to this area as well as expert researchers who are already actively working on this topic and seeking new directions.

Tutorial Objectives
Worldwide electric vehicle sales are expected to be over 3.5 million annually by 2020 according to a Forbes forecast. A significant portion of those vehicles will be Plug-in Electric Vehicles (PEVs) that are plugged-in to the grid through a standard home outlet or to a charging station using a SAE J1772 connector. The volume of electric vehicle charging load is expected to be correlated with peak electricity usage which will dramatically impact the stability of the already stressed power grid. A large number of recent studies have addressed the uncontrolled charging problem and came up with novel architectures, models and networks that allow controlling the heavy PEV loads. Meanwhile, electric vehicle batteries can be considered as Distributed Energy Resources (DERs) once several batteries are controlled as one by an aggregator. This is usually referred to as vehicle-to-grid (V2G) while charging is known as grid-to-vehicle (G2V). V2G applications are expected to be predominant in microgrids which are small scale power grids with the ability to connect and disconnect to the power grid and those that may span a residential home, a building or a neighborhood.
In this tutorial we will first provide a comprehensive background on electric vehicles, batteries, electric vehicle supply equipment types, charging properties, in addition to fundamentals of operation of the generation, transmission and distribution in the smart grid. Then, we will lead the audience to the challenges of electric vehicle charging with in-depth presentation on its impacts on supply, ramping, renewable energy integration, regulation and distribution equipment (transformers, feeders, protection switches, etc.). Along with challenges, we will introduce the opportunities when charging occurs overnight and reduces start-up and ramping costs in the next morning and discuss the options of using electric vehicle batteries as a resource in the smart grid. Next, we will present the communication technologies and networks that are used for connecting electric vehicles to the smart grid communication networks. We will discuss both vehicle to charging station communications as well as charging station to smart grid communications and present wireless, powerline, Ethernet and optical-wireless solutions. The state-of-the-art research in architectures and analytical models for G2V and V2G applications will be introduced in detail in the following part of the tutorial. Aggregator architectures, queuing models, network calculus, optimization-based studies, algorithms and many other solutions from academia and industry will be introduced. As a natural extension of VANETs, Connected Electric Vehicles (CEVs) and adoption of VANET technologies in CEVs will be discussed thoroughly. Worldwide testbeds designed for evaluating advanced electric vehicle applications in microgrids and the smart grid will be introduced. Before closing, we will present open issues and future directions which will give valuable hints for the audience who are willing to pursue cutting-edge research in the electric vehicle and smart grid domains.

Tutorial Outline

    Introduction to Electric Vehicles and the Smart Grid
      Electric vehicle batteries
      Electric vehicle supply equipment types
      Charging properties
      Fundamentals of generation, transmission and distribution in the smart grid
    Challenges and Opportunities Emerging from Electric Vehicles and Smart Grid Interaction
      Challenges
      ---Uncontrolled charging and its impacts on peak load
      ---Distribution system overloading (impacts on transformers, feeders, etc.)
      Opportunities
      ---Overnight charging
      ---Electric vehicles as Distributed Energy Resources (DER) for microgrids
      ---Electric vehicles for regulation
    Communication Technologies and Networks for the Electric Vehicle Infrastructure
      Wireless communication technologies (Zigbee, WiFi, WIMAX, LTE, etc.)
      Powerline communication technologies (HomePlug GP, Auto-Rem)
      Ethernet (in parking lots)
      Optical Communications (Fi-Wi)
    Architectures and Models for Grid-to-Vehicle Applications: Charging Control
      Queuing models for charging control
      Admission control techniques for electric vehicle charging
      Network calculus for electric vehicles: Battery calculus
      Optimization-based charging control approaches
    Architectures and Models for Vehicle-to-Grid Applications
      Aggregator controlled V2G for regulation
      Distribution system controlled energy trading via electric vehicles
      V2G to supply home appliances and compensate for brownouts
    Inter-Vehicle Communications for Electric Vehicles
      Electric vehicle to Road Side Unit (RSU) communications for electric vehicle monitoring
      VANET server controlled charging station reservation
      The role of Dedicated Short Range Communications (DSRC) and Wireless Access in Vehicular Environments (WAVE) in Connected Electric Vehicles
    Electric Vehicle and Smart Grid Advanced Application Testbeds
      BCIT smart microgrid and electric vehicle testbed
      Singapore government electric vehicle testbed
      Illinois Institute of Technology electric vehicle testbed
      The University of California, Irvine (UCI) microgrid
    Open Issues and Future Directions
    Q&A

Primary Audience
This tutorial aims to furnish the audience with the essential tools to understand the fundamentals of electric vehicles and their interaction with the smart grid, introduce the state-of-the-art architectures, models and networks for electric vehicle infrastructure and provide a comprehensive list of open issues. Utility operators, telecom operators, electric vehicle OEMs, electric vehicle service providers, university professors, researchers and students are among the target audience.

Novelty
Electric vehicles pose a number of challenges to the smart grid due to their heavy charging load while vehicle batteries emerge as promising Distributed Energy Resources (DERs) that can be used for the benefit of the smart grid. Electric vehicle and smart grid interaction is a newly flourishing research field receiving significant attention from communications, power and automotive societies.

Biography
Hussein Mouftah is with the School of Electrical Engineering and Computer Science, University of Ottawa (since 2002), as a Senior Canada Research Chair and Distinguished University Professor. He has been with the ECE Department at Queen’s University (1979-2002). He has three years of industrial experience mainly at BNR of Ottawa (or Nortel Networks, 1977-79). He is the author or coauthor of eight books, 59 book chapters and more than 1200 technical papers and 12 patents in this area. Dr. Mouftah is a Fellow of the IEEE, the Canadian Academy of Engineering, the Engineering Institute of Canada and the Royal Society of Canada RSC: The Academy of Science.

Melike Erol-Kantarci is the coordinator of the Smart Grid Communications Lab and a postdoctoral fellow at the School of Electrical Engineering and Computer Science, University of Ottawa, Canada. She received the Ph.D. and M.Sc. degrees in Computer Engineering in 2009 and 2004, respectively. During her Ph.D. studies, she was a Fulbright visiting researcher at the Computer Science Department of the University of California Los Angeles (UCLA). She received the B.Sc. degree from the Department of Control and Computer Engineering of the Istanbul Technical University, in 2001. She has received a Fulbright PhD Research Scholarship (2006) and the Siemens Excellence Award (2004), and she has won two Outstanding/Best Paper Awards. She is an occasional reviewer of transactions and journals, and a TPC member for various conferences. Her main research interests are wireless sensor networks, smart grid, cyber-physical systems, electrification of transportation, underwater sensor networks, mobility modeling, localization and internet traffic analysis. She is an editor of International Journal of Distributed Sensor Networks published by Hindawi. She is an IEEE member and the vice chair for Women in Engineering (WIE) at the IEEE Ottawa Section.

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T4: Spatial Modulation for MIMO Wireless Systems
Presented by: Marco Di Renzo (CNRS–SUPELEC), Harald Haas (Univ. of Edinburgh), Ali Ghrayeb (Texas A&M Univ. Qatar)
Time: 13:30–17:00
Room: Cypress 2

 

Abstract
The key challenge of future mobile communications research is to strike an attractive compromise between wireless network’s area spectral–efficiency and energy–efficiency. This necessitates new approaches to wireless system design, embracing the rich body of existing knowledge especially on Multiple–Input–Multiple–Output (MIMO) technologies. In the proposed tutorial, we intend to describe a new and emerging concept to wireless system design, which is conceived for single–RF large–scale MIMO communications and it is best-known as Spatial Modulation (SM). The concept of SM has established itself as a beneficial transmission paradigm, subsuming numerous members of the MIMO system–family. The research of SM has reached sufficient maturity to motivate its comparison to state–of–the–art MIMO communications, as well as to inspire its application to other emerging wireless systems such as relay–aided, cooperative, small–cell, optical wireless and power–efficient communications. Furthermore, it has received sufficient research attention to be implemented in testbeds, and it holds the promise of stimulating further vigorous inter–disciplinary research in the years to come.

The proposed tutorial is intended to offer a comprehensive state–of–the–art survey on SM–MIMO research, to provide a critical appraisal of its potential advantages, and to promote the discussion of its beneficial application areas and their research challenges leading to the analysis of the technological issues associated with the implementation of SM–MIMO. The tutorial is concluded with the description of the world’s first experimental activities in this vibrant research field.

Tutorial Objectives
It is widely recognized that the Long Term Evolution Advanced (LTE-A) is the most promising physical–layer standard of 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.

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.


Fueled by these considerations, Spatial Modulation (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.

This tutorial is based on the following publication: “M. Di Renzo, H. Haas A. Ghrayeb, S. Sugiura, L. Hanzo, “Spatial Modulation for Generalized MIMO: Challenges, Opportunities and Implementation”, Proceedings of the IEEE, vol 102, no. 1, pp. 56-103, Jan. 2014.

Tutorial Outline

    1) SM-MIMO: Operating Principle and Generalized Transceiver Design
      - Short overview of MIMO wireless systems
      - Advantages and disadvantages of MIMO, and motivation behind SM-MIMO
      - Generalized MIMO transceiver based on SM (transmitter, receiver, spatial- and signal-constellation diagrams)
      - Advantages and disadvantages of SM-MIMO (single-RF, single-stream decoding, low-complexity “massive” implementation, etc.)
    2) SM-MIMO: A Comprehensive Survey
      - Historical perspective
      - State-of-the-art on transmitter design
      - State-of-the-art on receiver design
      - State-of-the-art on transmit-diversity and space-time-coded SM-MIMO
      - State-of-the-art on performance and capacity analysis over fading channels
      - State-of-the-art on performance and design in the presence of multiple-access interference
      - State-of-the-art on robustness to channel state information at the receiver, etc.
    3) SM-MIMO: Application Domains Beyond the PHY-Layer
      - Distributed/network implementation of SM-MIMO
      - Application to relaying-aided and cooperative wireless networks
      - Application to green networks: “Massive” SM-MIMO design and the GreenTouch initiative
      - Application to heterogeneous cellular networks
      - Application to visible light communications
    4) SM-MIMO: Research Challenges and Opportunities
      - Open physical–layer research issues
      - Appraising the fundamental trade–offs of single– vs. multi–RF MIMO designs
      - Large–scale implementations: Training overhead for CSIT/CSIR acquisition
      - From single–user point–to–point to multi–user multi–cell SM–MIMO communications
      - Millimeter–wave communications: The need for beamforming gains
      - Small cell heterogeneous cellular networks: Towards interference engineering
      - Radio frequency energy harvesting: Taking advantage of the idle antennas
      - Leveraging the antenna modulation principle to a larger extent
    5) SM-MIMO: From Theory to Practice
      - Experimental Results and Channel Measurements from a Testbed Platform
      - Description of the hardware testbed
      - Description of the measurements campaign
      - Real-world performance results and comparison with state-of-the-art MIMO

Primary Audience
Students, academic researchers, industry affiliates and individuals working for government, military, science and technology institutions who would like to learn more about innovative MIMO concepts for low-complexity and energy-efficient wireless communication systems, as well as their applications to emerging communication paradigms such as relay-aided, multi-user cooperation, small cell cellular networks, and optical wireless. The tutorial is intended to provide the audience with a complete overview of the potential benefits, research challenges, implementation efforts and applications to many wireless communication systems.

Novelty
This tutorial addresses a recent transmission technology for MIMO wireless systems, which has been receiving for the past few years the interest of a broad research community across all continents. Hence, it is expected to draw a lot of interest from the wireless communications community from different parts of the world. The number of researchers, from the academia and industry, working on SM theory and applications is currently growing exponentially. These potential attendees will benefit from the broad tutorial outline.

Biography
Marco Di Renzo (SM’14) received the Ph.D. degree from the University of L’Aquila, Italy, in 2007. Since January 2010, he has been a Tenured Academic Researcher with the French National Center for Scientific Research (CNRS), as well as a faculty member of the Laboratory of Signals and Systems, an academic research laboratory of the CNRS, SUPELEC and the University of Paris-Sud XI, France. His main research interests are in the area of wireless communications theory. He is a recipient of a several awards, which include the 2013 IEEE VTC-Fall Student Best Paper Award for the paper entitled "Performance of Spatial Modulation using Measured Real-World Channels"; the 2013 Top Reviewer Award from the IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY; and the 2013 IEEE/COMSOC Best Young Researcher Award for the EMEA Region. He currently serves as an Editor of the IEEE COMMUNICATIONS LETTERS and of the IEEE TRANSACTIONS ON COMMUNICATIONS.
Harald Haas (M’03) holds the Chair of Mobile Communications at the University of Edinburgh. His main research interests are in the area of wireless system design and analysis. He is Associate Editor of IEEE TRANSACTIONS ON COMMUNICATIONS. He recently has been awarded the EPSRC Established Career Fellowship. He received the 2013 IEEE VTC-Fall Student Best Paper Award for the paper entitled "Performance of Spatial Modulation using Measured Real-World Channels".
Ali Ghrayeb (SM’06) received the Ph.D. degree from the University of Arizona in 2000. He is currently a Professor with the Department of Electrical and Computer Engineering, Concordia University, Canada. He is a co-recipient of the 2010 IEEE Globecom Best Paper Award. He holds a Concordia University Research Chair in Wireless Communications. His research interests include wireless and mobile communications, MIMO systems, wireless cooperative networks and cognitive radio systems. He serves as an Editor of the IEEE TRANSACTIONS ON COMMUNICATIONS.

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T5: The Future of Multiple-Antenna Communications Networks
Presented by: Daniel W. Bliss (Arizona State University) and Siddhartan Govindasamy (F.W. Olin College of Eng.)
Time: 8:30–12:00
Room: Oak 1

 

Abstract
In this tutorial, we discuss the future of advanced wireless networking based on sophisticated adaptive nodes that can mitigate network interference. The tutorial is vertical in that it addresses issues ranging from signal processing approaches and practical protocol issues to theoretical bounds on performance. Interference mitigation approaches including multiple-input multiple-output (MIMO) links, multiuser detection, and interference alignment are discussed. A variety of network scaling bounds are introduced. Network performance bounds that employ asymptotic random matrix theory are also introduced. Example applications discussed include ad hoc networks and cellular networks with large antenna arrays. The tutorial will draw in part upon our recently published textbook “Adaptive Wireless Communications: MIMO Channels and Networks.” The tutorial will be self-contained, so that attendees will not need to reference the book during the tutorial; however, for those that wish to review concepts presented in the tutorial or delve into topics in greater depth, the textbook will enable further investigation.

Tutorial Objectives
Introduce the audience to multi-antenna interference mitigation techniques.
Provide the audience with an understanding of the role of stochastic geometry in analyzing network performance.
Develop the audience’s understanding of how different multiantenna signal processing techniques (e.g. interference rank limiting) impact theoretical network performance.
Provide the audience with an understanding on the role of channel dispersion and dynamics on network performance.
Provide the audience with tools such as random matrix theory and stochastic geometry and illustrate how they can be combined to analyze systems that would otherwise be very challenging to analyze such as networks with medium-access control (MAC) protocols.
Provide context to the audience by applying the methods introduced to practically relevant system models such as massive MIMO.

Tutorial Outline

    Introduction
    Isolated MIMO performance limits
      Uninformed transmitter
      Informed transmitter with channel-state information
    Effects of interference on link performance
      Theoretic limits
      Link level mitigation approaches
    Effects of channel dispersion and dynamics
      Overview of compensation approaches
    Network-level interference mitigation
      Transmit covariance rank limiting
      Interference cooperation
      Interference alignment
    Basic network scaling laws
      Fundamental performance limits
      Limitation of scaling laws
    Introduction to stochastic geometry
      Point process models
      Spatially distributed networks with multiantenna nodes
    Introduction to asymptotic random matrix theory
      Asymptotic eigenvalue distributions
      Applications to multiantenna networks
    Asymptotic multiple antenna network scaling
      Ad hoc networks
      Cellular networks with large antenna arrays
    Summary and conclusions

Primary Audience
The intended audience includes researchers and students in advanced wireless communications systems and networks. In particular, the tutorial will appeal to researchers who wish to understand the network performance implications of sophisticated multiantenna systems where users are distributed spatially and have the potential to perform spatial interference mitigation.

Novelty
The presented material illustrates the network-wide performance limits of sophisticated multiantenna interference mitigation as compared to the majority of work analyzed in the literature in which multiantenna systems do not perform interference mitigation. The work also derives the network-wide performance of systems such as massive MIMO systems which is an actively-researched area for which network-wide performance analyses are traditionally done by simulations.

Biography
Daniel W. Bliss is an Associate Professor in the School of Electrical, Computer and Energy Engineering at Arizona State University. His current research topics include statistical signal processing, multiple-input multiple-output (MIMO) wireless communications, MIMO radar, cognitive radios, radio network performance bounds, geolocation techniques, channel phenomenology, and signal processing and machine learning for anticipatory physiological monitoring. Dan has been the principal investigator on numerous programs with applications to radio, radar, and medical monitoring. Previously (1997-2012), Dan was a senior member of the technical staff at MIT Lincoln. Dan received his Ph.D. and M.S. in Physics from the University of California at San Diego (1997 and 1995), and his BSEE in Electrical Engineering from Arizona State University (1989). Employed by General Dynamics (1989-1993), he designed avionics for the Atlas-Centaur launch vehicle, and performed magnetic field calculations and optimization for high-energy particle-accelerator superconducting magnets. His doctoral work (1993-1997) was in the area of high-energy particle physics.

Siddhartan Govindasamy is an Assistant Professor of Electrical and Computer Engineering at the F. W. Olin College of Engineering. He received the S.B. and M. Eng. degrees from MIT in 1999 and 2000, respectively. From 2000 to 2003, he was with Aware Inc., first as a DSP Engineer and then as a Senior DSP engineer where he conducted research and development of digital subscriber line modems. He completed his Ph.D. at the Research Laboratory of Electronics at MIT in 2008, and has been with Olin College since then.




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T6: Dedicated Short Range Vehicular Communications: Overview, Technical Challenges, and Applications
Presented by: John Kenney and Gaurav Bansal (Toyota InfoTechnology Center, USA)
Time: 13:30–17:00
Room: Oak 1

 

Abstract
In this tutorial we cover the most important aspects of Dedicated Short Range Communications (DSRC), also known as Cooperative ITS. This technology is in the early stages of deployment in North America, Europe, and other regions. The US DOT plans to require DSRC in new vehicles in the coming years. DSRC is used to communicate vehicle-to-vehicle (V2V) and vehicle-to/from-infrastructure (V2I), enabling a set of compelling safety, mobility, automated driving, and environmental applications. This tutorial focuses on the safety and automated driving use cases. We explain the DSRC protocol stack, collision avoidance applications, and technical challenges for deployment. We discuss large-scale field tests and early deployment projects in the US, Europe, and Japan, e.g. the US Safety Pilot and the Rotterdam-Vienna Corridor Project. After presenting DSRC basics, we focus on a specific research problem that is currently of great interest: DSRC Channel Congestion. We discuss the merits of various approaches to address congestion, including avoidance and active control, as well as control modalities (message rate, transmit power, etc.). As a case study we present our specific research on adaptive message rate control, which is under consideration for standardization in the US and Europe. We end the tutorial with a discussion of the role DSRC can play in support of automated vehicles, including a framework for communicating dynamic road conditions to nearby vehicles. The primary goal of the tutorial is to empower the attendee to participate in this important emerging technology, whether as a researcher, a developer, or a planner.

Tutorial Objectives
Master the fundamentals of a critical emerging VTC technology, DSRC
Design collision avoidance applications based on V2V communication
Evaluate the impact of strategic investment on DSRC deployment
Join the DSRC research community, contributing to solutions for congestion control and other technical challenges
Incorporate DSRC in automated vehicle development

Tutorial Outline

    1) DSRC Technology
    2) Vehicular Safety Communications
    3) Overview of DSRC Protocols
    4) Technical and Policy challenges for deployment
    5) Field tests and early deployments
    6) DSRC channel congestion control
    7) DSRC in support of automated vehicles

Primary Audience
The intended audience includes researchers in academia, engineers working in industry (car companies, equipment suppliers, chip manufacturers, etc.), governmental organizations responsible for deployment and regulatory decisions (road authorities, governmental labs), and also other international attendees. The tutorial is structured to provide value to attendees who come with only a basic knowledge of data networking, but also to deliver technical insight to those with more advanced backgrounds.

Novelty
This tutorial is well-timed to provide the attendee with critical information about the important emerging field of V2X communication. The US DOT has announced plans to mandate DSRC in new vehicles. DSRC deployments in Europe and Japan are slated to ramp up starting in 2015. The presenters have significant expertise as published researchers, representatives of Toyota in industrial research consortia, and contributors to international standards organizations (IEEE, SAE, ETSI) developing DSRC standards.

Biography
1. Dr. John B. Kenney: John holds electrical engineering degrees from Stanford and Notre Dame, where he also served as Adjunct Professor. Currently a Principal Researcher at the Toyota InfoTechnology Center in Mountain View, CA, he has researched vehicular communications since 2007. John represents Toyota in the automakers’ Vehicle Safety Communication consortium, including as past lead of the VSC-A Communications Task. He and Dr. Bansal actively contribute to VSC research in congestion control and security. He also represents the industry in the investigation of potential sharing of spectrum between DSRC and unlicensed devices, including recent testimony before a US Congressional committee. He is active in IEEE and European standards, and serves as an elected officer of the SAE DSRC Technical Committee. He co-chaired the 2011 and 2012 ACM VANET Workshops, and the IEEE SmartVehicles 2014 Workshop. He also authored an invited Proceedings of the IEEE paper on DSRC Standards in the US (2011).
2. Dr. Gaurav Bansal: Gaurav received a B.Tech. degree from Indian Institute of Technology (IIT) Kanpur, India and a Ph.D. degree from the University of British Columbia (UBC), Canada. From August 2007 to July 2008, he worked as a Research Intern with Mercedes Benz Research and Development North America Inc., Palo Alto, CA. He joined Toyota InfoTechnology Center, USA, in July 2010 where he currently works as a Senior Researcher in the Network Group. He is a recipient of Natural Science Engineering and Research Council of Canada’s Alexander Graham Bell Scholarship. He is Demonstrations Chair for the 2014 WiVEC Symposium, and has served as a TPC member for several international conferences including IEEE VTC Fall 2014, CSCITA-2014, COMSNETS 2014, and SmartVehicles ‘14. He also serves on the Editorial board of IEEE Communication Surveys and Tutorials.

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T7: Efficient 3D EM Antenna Modelling for Vehicular Applications by Winfried Simon and Christos Oikonomopoulos-Zachos (IMST GmbH) has been cancelled

 

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