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Tutorials offered at VTC2014-Spring

All tutorials will be held on Sunday, 18 May 2014.

  Tutorial Name Presented by Time Room
T1Heterogeneous Cellular Networks: Modeling, Analysis and Design using Stochastic GeometryTony Q. S. Quek, Singapore University of Technology and Design; Marios Kountouris, Supélec, France8:30am–12pmStudio 1
T24G & Beyond: LTE & LTE-Advanced Hyung G. Myung, Qualcomm, USA1:30pm–5pmStudio 1
T3Wireless Network Economics and Games Jianwei Huang, Department of Information Engineering, The Chinese University of Hong Kong, ChinaCANCELLED
T4Compressive Sensing for Wireless Communication Byonghyo Shim, School of Information and Communication, Korea University, Korea1:30pm–5pmStudio 2
T5Mobile Service Evolution beyond LTE-Advanced Ki-Dong Lee, LG Electronics Mobile Research, USACANCELLED
T6Wireless Access Infrastructure EconomicsJens Zander and Jan Markendahl, Royal Institute of Technology (KTH), SwedenCANCELLED
T7Cooperative Near-Capacity Wireless System Design Lajos Hanzo, School of Electronics and Computer Science, University of Southampton, UK8:30am–12pmStudio 2
T8Collaborative Networked Organization Morcous M. Yassa, Dept. of Computer Science, Cairo University, EgyptCANCELLED
T9Beamforming in Multi-Cell Systems Jinho Choi, School of Information and Communications, Gwangju Inst. of Science & Tech. (GIST), Korea8:30am–12pmStudio 3
T10Toward Information-Centric Vehicular Networking Sangheon Pack, Korea University, Korea ; Jong-Hyouk Lee, Sangmyung University, Korea1:30pm–5pmStudio 3
T11M2M Communications Within Future Communication Networks Konstantinos Dimou, Intel8:30am–12pmTBA

 

 

T1: Heterogeneous Cellular Networks: Modeling, Analysis and Design using Stochastic Geometry
Presented by: Tony Q. S. Quek, Singapore University of Technology and Design; Marios Kountouris, Supélec, France
Time: 8:30am–12pm
Room: Studio 1

 

Abstract
With the increase in data traffic driven by a new generation of wireless devices, data is expected to overwhelm cellular network capacity in the future. Heterogeneous cellular networks are a comprehensive approach to provide high cellular network capacity by overlaying conventional macrocell cellular architecture with heterogeneous architectural features such as small cellular access points (picocells and femtocells), low-power fixed relays, and distributed antennas. Heterogeneous cellular networks are expected to achieve higher data rates and better coverage by exploiting spatial reuse, while retaining at the same time the seamless connectivity and mobility of cellular networks. Inspired by the attractive features and potential advantages of heterogeneous cellular networks, their development and deployment is gaining momentum in the wireless industry and research communities during the last few years. It has also attracted the attention of standardization bodies such as 3GPP LTE-Advanced. However, heterogeneous cellular networks also come with their own challenges, and there are significant technical issues that still need to be addressed for successful rollout and operation of these networks. One of the main challenges is interference management and this tutorial will present a stochastic-geometry based approach to understand such interference and better design heterogeneous cellular networks

Tutorial Objectives
The main objective of this tutorial is to introduce stochastic geometry to academic and industrial researchers, especially as an effective and suitable mathematical tool to better understand and design heterogeneous cellular networks. In addition, the tutorial will identify and discuss technical challenges and recent results related to the performance and the design of heterogeneous cellular networks.

Tutorial Outline

    Part I: Theory
      - Elements of Stochastic Geometry: short overview of the historical development and landmark results.
      - Point Process Theory: Poisson point process, Laplace transform, marked point processes and shot-noise fields, interference characterization, sums and products of over point processes, Boolean model, tessellations.
      - Signal-to-Interference Ratio (SIR) Model: SIR cells, SIR coverage, spatial medium access control, interference and outage in wireless networks.
    Part II: Applications---Heterogeneous Cellular Networks
      - Introduction: basic features and definitions, challenges and state of the art.
      - Performance metrics: success probability, coverage probability, area spectral efficiency, transmission capacity, spatial capacity, load
      - Energy Efficiency: power minimization and energy efficiency under QoS constraints, dynamic sleep mode strategies
      - Resource Allocation and Throughput Optimization: flexible spectrum allocation, spatial FDMA, access control and opportunistic access, cognitive hybrid division duplex.
      - Backhaul: modeling, optimization, resource allocation under backhaul constraints.
      - MIMO: efficient use of multiple antennas, spatial diversity, spatial multiplexing, multiuser MIMO, limited feedback SDMA, user selection.

Primary Audience
The tutorial is intended for the generally knowledgeable individual working in the field of wireless communications and networking with some background in probability theory and signal processing. It is also suitable for students and researchers who are interested to learn about the application of stochastic geometry to modeling, analysis and design of heterogeneous cellular networks. This tool has gained great popularity over the last years and has started to gain acceptance even in the industry communities and the standardization bodies.

Novelty
The tutorial is mainly divided into two parts. In the first part, we will introduce the basics of stochastic geometry and some performance metrics related to wireless networks. In the second part, we will focus on the analysis and design of heterogeneous cellular networks and give different scenarios how stochastic geometry can be used to develop engineering insights.

Biography
Tony Q. S. Quek received the B.E. and M.E. degrees in Electrical and Electronics Engineering from Tokyo Institute of Technology, respectively. At MIT, he earned the Ph.D. in Electrical Engineering and Computer Science in 2008. Currently, he is an Assistant Professor with the Information Systems Technology and Design Pillar at Singapore University of Technology and Design (SUTD). He is also a Scientist with the Institute for Infocomm Research. He is currently an Editor for the IEEE Transactions on Communications and the IEEE Wireless Communications Letters. He was Guest Editor for the IEEE Communications Magazine (Special Issue on Heterogeneous and Small Cell Networks) in 2013, and the IEEE Signal Processing Magazine (Special Issue on Signal Processing for 5G Evolution) in 2014. He was honored with the IEEE Globecom 2010 Best Paper Award, the 2012 IEEE William R. Bennett Prize, and the 2013 IEEE SPAWC Best Student Paper Award. He is a senior member of the IEEE.

Marios Kountouris received the Diploma in Electrical and Computer Engineering from the National Technical University of Athens, Greece in 2002 and the M.S. and Ph.D. degrees in Electrical Engineering from the École Nationale Supérieure des Télécommunications (ENST) Paris, France in 2004 and 2008, respectively. His doctoral research was carried out at Eurecom Institute, France, and it was funded by Orange Labs, France. From February 2008 to May 2009, he has been with the Department of ECE at The University of Texas at Austin as a research associate, working on wireless ad hoc networks under DARPA's IT-MANET program. Since June 2009, he has been an Assistant Professor at the Department of Telecommunications at Supélec (Ecole Supérieure d'Electricité), France. He is currently an Editor for the EURASIP Journal on Wireless Communications and Networking. He received the 2013 IEEE ComSoc Outstanding Young Researcher Award for the EMEA Region, the Best Paper Award in Communication Theory Symposium at the IEEE Globecom conference in 2009, the 2012 IEEE SPS Signal Processing Magazine Award, and the IEEE SPAWC 2013 Best Student Paper Award. He is a Member of the IEEE and a Professional Engineer of the Technical Chamber of Greece.

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T2: 4G & Beyond: LTE & LTE-Advanced
Presented by: Hyung G. Myung, Qualcomm, USA
Time: 1:30pm–5pm
Room: Studio 1

 

Abstract
The current 3rd generation (3G) cellular wireless systems are evolving into 4th generation (4G). As a pathway to 4G, 3GPP developed Long Term Evolution (LTE). In terms of air interface techniques, LTE system uses OFDMA-based multicarrier modulation, MIMO techniques, and other advanced features to greatly improve the mobile wireless services. In this tutorial, we first survey the underlying techniques of the 4G systems such as OFDMA, SC-FDMA, MIMO, and fast multi-carrier resource scheduling. Then, we give technical overview of LTE and LTE-Advanced. We also survey upcoming beyond-4G technologies.

Tutorial Objectives
The audience will learn about key technologies of 4th generation (4G) communication systems and will obtain detailed understanding of LTE and LTE-Advanced which are the key 4G standards.

Tutorial Outline

    Basic Wireless Background
    Key 4G Technologies
      - OFDM/OFDMA
      - SC-FDMA
      - MIMO
      - Multi-Carrier Resource Scheduling
      - Fractional Frequency Re-use
    Overview of LTE
      - LTE Architecture
      - LTE Physical layer
      - LTE Physical Procedures
      - LTE Upper Layer
      - LTE TDD
    Overview of LTE-Advanced
      - Carrier Aggregation
      - Enhanced MIMO
      - Heterogeneous Network (HetNet)
      - Enhanced Inter-Cell Interference Coordination (eICIC)
      - Relaying
      - Coordinated Multi-Point (CoMP)
    Beyond 4G
      - Release 12 and Beyond Technologies
    Summary

Primary Audience
* Wireless industry professionals, researchers, and executives.
* Graduate students in wireless communications field.
* Business analysts in mobile broadband and telecommunications business.

Novelty
This is a comprehensive technical overview of LTE, LTE-Advanced, and upcoming technologies for LTE.

Biography
Dr. Hyung G. Myung is currently with Qualcomm, San Diego, USA since 2007. He received the B.S. and M.S. degrees in Electronics Engineering from Seoul National University, South Korea in 1994 and in 1996, respectively, and the M.S. degree in Applied Mathematics from Santa Clara University, California in 2002. He received his Ph.D. degree from the Electrical and Computer Engineering Department of Polytechnic University (now part of NYU), Brooklyn, NY in January of 2007. From 1996 to 1999, he served in the Republic of Korea Air Force as a lieutenant officer, and from 1997 to 1999, he was with Department of Electronics Engineering at Republic of Korea Air Force Academy as a faculty member. Before joining Qualcomm, he held research and development positions at ArrayComm, Samsung Advanced Institute of Technology, and InterDigital Communications. He is the co-author of the book Single Carrier FDMA: A New Air Interface for Long Term Evolution (2008) from John Wiley & Sons.

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T3: Wireless Network Economics and Games by Jianwei Huang, Department of Information Engineering, The Chinese University of Hong Kong, China has been cancelled

 

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T4: Compressive Sensing for Wireless Communication
Presented by: Byonghyo Shim, School of Information and Communication, Korea University, Korea
Time: 1:30pm–5pm
Room: Studio 2

 

Abstract
As a paradigm to reconstruct the sparse signals from the compressed measurements, compressive sensing (CS) has received great deal of interest in recent years. While this paradigm is well-known to the image/signal processing field, dissemination of this new topic to wireless communications is rather slow. In this tutorial, we will provide in-depth discussion on the basics of CS principle and how this paradigm can be integrated into wireless communication applications.

Tutorial Objectives
- To introduce the basic concept of compressive sensing (CS).
- To introduce the sparse recovery algorithms including L1-minimization and greedy algorithms.
- To introduce the analysis tool for CS sand its use in applications.
- To introduce system models and examples on wireless communications where the compressive sensing can be applied.
- To introduce sparse detection algorithms and its applications on wireless sensor detection, cdma multiuser detection.
- To introduce sparse estimation algorithms and its applications on channel estimation.

Tutorial Outline

    Compressive sensing (CS) - Motivation
    Introduction on CS - Problem setup
    Principles of sparse signal recovery
    Analysis tool for sparse signal recovery
    Sparse recovery algorithms
      L1-norm minimization
      Greedy algorithm
    Sparse communication systems
    Sparse detection and estimation
      Sparse detection problems in wireless communications
      Sparse estimation problems in wireless communications
    Conclusion

Primary Audience
Researchers and graduate students in the wirelss communcation field who are interested in the compressive sensing.

Novelty
We not only introduce the basics of compressive sensing and but also provide how this concept can be nicely integrated into the wireless communcations.

Biography
Byonghyo Shim received the B.S. and M.S. degrees from Seoul National University, Korea, in 1995 and 1997, respectively, and the M.S. and Ph.D. degrees from the University of Illinois at Urbana-Champaign (UIUC), Urbana, in 2004 and 2005, respectively. From 1997 and 2000, he was with the Department of Electronics Engineering at the Korean Air Force Academy as an Academic Full-time instructor. He also had a short time research position in the DSP group of LG Electronics and DSP R&D Center, Texas Instruments Incorporated, Dallas, TX, in 1997 and 2004, respectively. From 2005 to 2007, he was with the Qualcomm Inc., San Diego, CA. Since September 2007, he has been with the School of Information and Communication, Korea University, Seoul, Korea, where he is an Associate Professor. His research interests include wireless communications, statistical signal processing, estimation and detection, applied linear algebra, and information theory. Dr. Shim was the recipient of the 2005 M. E. Van Valkenburg Research Award from the ECE Department of the University of Illinois and 2010 Hadong Young Engineer Award from IEEK. He is a senior member of IEEE, an associate editor of IEEE Wireless Communications Letters.

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T5: Mobile Service Evolution beyond LTE-Advanced by Ki-Dong Lee, LG Electronics Mobile Research, USA has been cancelled

 

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T6: Wireless Access Infrastructure Economics by Jens Zander and Jan Markendahl, Royal Institute of Technology (KTH), Sweden has been cancelled

 

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T7: Cooperative Near-Capacity Wireless System Design
Presented by: Lajos Hanzo, School of Electronics and Computer Science, University of Southampton, UK
Time: 8:30am–12pm
Room: Studio 2

 

Abstract
This overview introduces the principles of cooperative communication, commencing with the introduction of the basic MIMO types having both co-located and distributed antenna elements and continues with a portrayal of cognitive radio aided cooperation, win-win cooperation, a glimpse of base-station cooperation, and so on.

Tutorial Objectives
To elaborate a little further, the limitations of MIMOs relying on co-located array-elements are highlighted and it is shown, how the single-antenna-aided cooperative mobiles may circumvent these limitations by forming MIMOs having distributed elements. This concept is also referred to as a Virtual Antenna Array (VAA). Then the corresponding amplify-forward and decode-forward protocols as well as their hybrids are studied. Channel coding has to be specifically designed for the VAAs in order to prevent avalanche-like error-propagation. Hence sophisticated three-stage-concatenated iterative channel coding schemes are proposed and it is argued that in the absence of accurate channel information at the relays the best way forward might be to use multiple-symbol differential detection. Indeed, it is rather unrealistic to expect that an altrustically relaying handset would also accurately estimate the source-relay channel for the sake of high-integrity coherent detection. EXIT-chart-aided designs are used for creating near-capacity solutions and a range of future research directions as well as open problems are stated.

Tutorial Outline

    Cooperative Adaptive Modulation
    Successive Relaying Aided Near-Capacity Irregular Distributed Space-Time Coding
    Coherent versus Non-Coherent Detection
    Resource-Optimized Differentially Modulated Hybrid AF/DF Cooperation Dispensing with Channel Estimation
    Distributed Channel Coding
    Multiple Source Cooperation
    Synchronous versus Asynchronous Cooperative Systems
    Cognitive and win-win cooperation

Primary Audience
Whilst this overview is ambitious in terms of providing a research-oriented outlook, potential attendees require only a modest background in wireless networking and communications. The mathematical contents are kept to a minimum and a conceptual approach if adopted. Postgraduate students, researchers and signal processing practitioners as well as managers looking for cross-pollination of their experince with other topics may find the coverage of the presentation beneficial. The participants will receive the set of slides as supporting material and they may find the detailed mathematical analysis in the books coauthored by the presenter.

Novelty
This tutorial creates a bridge between classic MIMOs having co-located elements and distributed MIMOs. Furthermore, intrinsically amalgamates the channel coding and transmission schemes and reviews the pros and cons of coherent versus non-coherent cooperative transceivers.

Biography
Lajos Hanzo (http://www-mobile.ecs.soton.ac.uk) FREng, Royal Society Wolfson Fellow, FIEEE, FIET, Fellow of EURASIP, European Research Council Advanced Fellow, DSc has held various research and academic posts in Hungary, Germany and the UK. He has co-authored 20 Wiley-IEEE Press books and has 1400+ research contributions at IEEE Xplore as well as 18 000 citations

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T8: Collaborative Networked Organization by Morcous M. Yassa, Dept. of Computer Science, Cairo University, Egypt has been cancelled

 

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T9: Beamforming in Multi-Cell Systems
Presented by: Jinho Choi, School of Information and Communications, Gwangju Inst. of Science & Tech. (GIST), Korea
Time: 8:30am–12pm
Room: Studio 3

 

Abstract
Beamforming has been studied to increase signal-to-noise ratio (SNR) or spatial multiplexing gain in wireless communication systems over the last two decades. In particular, multiple-input multiple-output (MIMO) systems, beamforming plays a crucial role in exploiting the tradeoff between multiplexing and diversity gains. In future wireless systems, the role of beamforming will be more important as large antenna arrays are to be employed at base stations. In this tutorial, we overview existing beamforming methods used for single-user and multi-user systems. Then, we present some recent advances of beamforming for more general systems such as multi-cell MIMO systems. Network and massive MIMO will also be presented. Some discussions will be made on how beamforming techniques can be evolved in future systems, e.g., 5G.

Tutorial Objectives
The learning objectives of this tutorials are as follows:

- understanding of the principles of beamforming in wireless communications
- understanding of key downlink beamforming methods
- applying optimization to multiuser beamforming
- understanding solution techniques for optimization problems of multiuser beamforming
- understanding multiuser downlink beamforming in multicell environments and intercell interference
- understanding distributed optimization techniques for multiuser beamforming in multicell environments

Tutorial Outline

    Introduction
    Beamforming Methods
      Single-user beamforming
      Multiuser beamforming
      DPC and VP
    Beamforming in Multicell Systems
      Massive MIMO
      Network MIMO
    Distributed Beamforming
    Conclusions

Primary Audience
Graduate students and engineers in the field of wireless communications; Project managers for wireless systems related projects

Novelty
- Providing a comprehensive overview of beamforming methods
- Providing a coherent view of beamforming methods from a simple system to most practical systems
- Providing updated knowledge of beamforming methods including distributed beamforming

Biography
Jinho Choi (Senior Member of IEEE) was born in Seoul, Korea. He received B.E. (magna cum laude) degree in electronics engineering in 1989 from Sogang University, Seoul, and the M.S.E. and Ph.D. degrees in electrical engineering from Korea Advanced Institute of Science and Technology (KAIST), Daejeon, in 1991 and 1994, respectively. He is now with School of Information and Communications, Gwangju Institute of Science and Technology (GIST), Korea, as a professor. Prior to joining GIST, he was with the College of Engineering, Swansea University, United Kingdom, as a Professor/Chair in Wireless Communications. His research interests include wireless communications and array/statistical signal processing. He authored two books published by Cambridge University Press in 2006 and 2010. Prof. Choi received the 1999 Best Paper Award for Signal Processing from EURASIP, 2009 Best Paper Award from WPMC (Conference), and is Senior Member of IEEE. Currently, he is an Associate Editor of IEEE Communications Letters and an Editor of Journal of Communications and Networks (JCN) since 2005 and served as an Associate Editor of IEEE Transactions on Vehicular Technology from 2005 to 2007 and ETRI journal.

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T10: Toward Information-Centric Vehicular Networking
Presented by: Sangheon Pack, Korea University, Korea ; Jong-Hyouk Lee, Sangmyung University, Korea
Time: 1:30pm–5pm
Room: Studio 3

 

Abstract
For emerging services (e.g., road safety, traffic efficiency, and infotainment) in future vehicular networks, a paradigm shift from address centric networking to information/contents centric networking is indispensible since information/contents centric networking enables timely and reliable information/contents dissemination with easy adoption of new services. This tutorial is intended to 1) present current architectures, services, and standardization activities of address centric vehicular networking; and 2) give an introduction of information/contents centric vehicular networking architectures and emerging services. Also, key enabling technologies for future vehicular networking are identified and detailed.

Tutorial Objectives
The vehicular communication/networking industry, standardization, and markets are very dynamic. The technologies are evolving fast and continue to change. Understanding at a higher level of these new developments and their key issues are desirable. Especially, this tutorial is intended to answer the following questions:

How is the legacy address centric networking building the vehicular networking?

What is going on the vehicular networking standardization?

How information centric networking would be applied to vehicular networking?

What would be expected with information centric networking?

Tutorial Outline

    Introduction
    Address-Centric Vehicular Networking
      Architecture and Protocols for Address-Centric V2I and V2X
      Security and Privacy in Address-Centric Vehicular Networking
      Current Standard Activities
    Information Centric Vehicular Networking
      Introduction to Information Centric Networking
      Motivation and Applications of Information Centric Vehicular Networking
      Research Challenges
    Conclusion

Primary Audience
New comers to the vehicular networking may get a jumpstart to major activities in the vehicular networking.

Students and academicians may understand the major network systems and standards activities in the vehicular networking industry.

Engineers and professionals in communication may get an overview to understand the major issues of vehicular networking and the current status in the midst of rapid technology and system changes in the industry.

Novelty
Although several tutorials on vehicular networking have been delivered in other conferences, this tutorial provides a new perspective on information-centric vehicular networking, which is one of the most interesting and challenging topics in future vehicular networking.

Biography
Sangheon Pack received the B.S. and Ph.D. degrees from Seoul National University, Seoul, Korea, in 2000 and 2005, respectively, both in computer engineering. In 2007, he joined the faculty of Korea University, Seoul, Korea, where he is currently an Associate Professor in the School of Electrical Engineering. From 2005 to 2006, he was a Postdoctoral Fellow with the Broadband Communications Research Group, University of Waterloo, Waterloo, ON, Canada. He was the recipient of KICS (Korean Institute of Communications and Information Sciences) Haedong Young Scholar Award 2013 and IEEE ComSoc APB Outstanding Young Researcher Award in 2009. He was a publication co-chair of IEEE INFOCOM 2014, a co-chair of IEEE VTC 2010-Fall transportation track, a co-chair of IEEE WCSP 2013 wireless networking symposium, a TPC vice-chair of ICOIN 2013, and a publicity co-chair of IEEE SECON 2012. He is an editor of Journal of Communications Networks (JCN) and a senior member of the IEEE. His research interests include Future Internet, SDN/ICN/DTN, mobility management, mobile cloud networking, multimedia networking, and vehicular networks.

Jong-Hyouk Lee received the M.S. and Ph.D. degrees in Computer Engineering from Sungkyunkwan University, Korea. Dr. Lee was a researcher at INRIA, France and was an Assistant Professor at TELECOM Bretagne, France. He is now an Assistant Professor at the Department of Computer Software Engineering, Sangmyung University, Korea. Dr. Lee won the Best Paper Award at the IEEE WiMob 2012 and was a tutorial speaker at the IEEE WCNC 2013. He is an associate editor of Wiley Security and Communication Networks and IEEE Transactions on Consumer Electronics. Research interests include authentication, privacy, and Internet mobility management.

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T11: M2M Communications Within Future Communication Networks
Presented by: Konstantinos Dimou, Intel
Time: 8:30am–12pm
Room: TBA

 

Abstract
Around 2020 some billions of devices are going to be connected. Everything benefiting from being connected will be connected. New and diverse Machine To Machine (M2M) applications are expected: from wearables, low cost monitoring sensors for agriculture purposes, health applications and to vehicle to vehicle communications as well as for smart grid and for high end computing machines and robots exchange very high data rates with latency requirements in the order of a millisecond. These new applications and their traffic exhibit new requirements in terms of data rates, delay, energy consumption which are different from the requirements imposed by human centric communications. Moreover, it is anticipated that devices of various capabilities are going to co-exist within the same radio access networks. In addition, this unprecedented high amount of connected devices sets a stringent requirement for reduced signaling overhead. A key question to be answered by system designers and researchers is how to evolve current wireless networks so as to accommodate devices of various capabilities and with many different traffic characteristics. This tutorial aims at providing the basis for how data rate, energy consumption, device cost, latency and signaling overhead requirements are driving the design of radio interface, e.g. radio signal, time frame structure, as well as multiple-access mode. Suitability of current 4G wireless systems for meeting these goals is discussed. Evolution directions towards 5G wireless networks are proposed.

Tutorial Objectives
Tutorial Objectives
Understanding of the requirements in terms of data rates, latency, energy consumption, signaling overhead and cost for Machine to Machine Communications.

Understanding the level of suitability of 4G wireless systems, e.g. 3GPP LTE Advanced, to meet these requirements.

Ability to make radio interface design choices based on the various M2M QoS requirements and devices characteristics. Integration strategies of various technologies.

Tutorial Outline

      - Understanding the fundamental requirements of M2M QoS requirements: data rates, latency, signaling overhead, energy consumption, cost.
      - Suitability of 3GPP LTE Advanced and IEEE 802.11 based systems so as to meet M2M QoS requirements.
      - Design principles towards a 5G system meeting the M2M QoS requirements
      - Radio frame structure: pilot design, radio frame duration, control channel considering latency and energy requirements
      - Multiple access design considering the signaling overhead requirement and the very high number of connections
      - Integration of various radio access networks. Migration strategies.
      - Pros and Cons of various options

Primary Audience
The tutorial is addressed to system designers and researchers working towards 5G system design.

Novelty
Up to now tutorials on M2M tend to address one M2M scenario and mainly the low cost sensors communications, addressed partly by the work done within 3GPP in the context of Machine Type Communications (MTC). There are very few tutorials addressing QoS requirements of various M2M applications and providing propsals for an overall system design solution.

Biography
Konstantinos Dimou is research scientist at Intel Labs. He has held several positions in industry. In 2011-2012 he was visiting researcher at Wireless Systems Laboratory at Stanford University.

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