All tutorials will be held on 3 June 2018.
T1: Disruptive technologies and tools for flexible wireless interference networks by Eduard Jorswieck (Technische Universitaet Dresden) and Aydin Sezgin (Ruhr Universitaet Bochum) has been cancelled
T2: Full-duplex Communication for 5G and Vehicular Networks by Octavia A. Dobre and Animesh Yadav (Memorial University) has been cancelled
T3: Applying Complexity Sciences in IoT-based Systems and 5G Networks by Majid Butt, Irene Macaluso, Nicola Marchetti (CONNECT), Pedro Nardelli (Lappeenranta University of Technology), Florian Kühnlenz (University of Oulu) has been cancelled
CANCELLED
T4: Design and optimization of End-to-End Network Slicing Solutions in 5G Wireless Networks by Vincenzo Sciancalepore and Xavier Costa-Perez (NEC Laboratories Europe) has been cancelled
T5: Traffic Aware Interference Management for Flexible 5G Radio Access
Presented by: Antti Tölli (University of Oulu) and Juha Karjalainen (Nokia Bell-Labs)
Time: 9:00–12:30
Room: TBA
Abstract—Dynamic or flexible time division duplexing (TDD) is an essential 5G ingredient, e.g., in the 3GPP New Radio (NR) specification. This tutorial provides a holistic view for the design of interference management in 5G and beyond networks based on dynamic traffic aware TDD, particularly addressing relevant technology components such as beamformer training, CSI acquisition, resource allocation and interference control. The methods discussed will account for variations in user traffic as well the associated overhead from adapting UL/DL resources. First, an overview of 3GPP NR physical layer aspects is provided. A special focus is given for key technology components enabling dynamic TDD operation in NR. The theoretical performance limits of dynamic TDD systems using scheduling and coordinated beamforming are then briefly explored. Subsequently, low complexity, near optimal distributed solutions that account for the users' traffic dynamics are considered. Particular emphasis is put on the iterative Forward-Backward (F-B) training based beamformer estimation mechanisms using precoded pilots, as well as, methods to compensate for pilot non-orthogonality and imperfect channel measurements. The feasibility of proposed schemes in the context of 5G radio access will be discussed. The tutorial concludes with some highlights for future research directions.
Tutorial Outline
- Objective, introduction and outline; Antti Tölli, Juha Karjalainen (35mins)
- Network densification in 5G – challenges for interference management and potential solutions
- Dynamic and flexible TDD
- Overview of physical layer aspects of 3GPP New Radio (NR) in Rel-15
- Traffic aware linear transceiver design; Antti Tölli (45 mins)
- System and queuing model & problem formulation
- Centralized joint space-frequency resource allocation (JSFRA) solution
- Joint UL/DL mode selection and transceiver design
- Coordinated interference management in dense TDD based 5G networks; Antti Tölli (50mins)
- Distributed transmission with Forward-Backward (F-B) training
- Direct beamformer estimation with over-the-air (OTA) F-B training
- Impact of limited pilot resources
- OTA TX-RX training schemes in the context of 5G radio access; Juha Karjalainen, Antti Tölli (50mins)
- Key technology components and procedures enabling dynamic TDD in NR
- Impact to frame structure design, UE operation
- Impact on reference signals, and control signaling
- Practical challenges
Biography
Antti Tölli (M’08, SM’14) received the Dr.Sc. (Tech.) degree in electrical engineering from the University of Oulu, Oulu, Finland, in 2008. Before joining the Centre for Wireless Communications (CWC) at the University of Oulu, he worked for 5 years with Nokia Networks as a Research Engineer and Project Manager both in Finland and Spain. In May 2014, he was granted a five year (2014-2019) Academy Research Fellow post by the Academy of Finland. He also holds an Adjunct Professor position with University of Oulu. During the academic year 2015-2016, he visited at EURECOM, Sophia Antipolis, France. He has authored more than 150 papers in peer-reviewed international journals and conferences and several patents all in the area of signal processing and wireless communications. His research interests include radio resource management and transceiver design for broadband wireless communications with a special emphasis on distributed interference management in heterogeneous wireless networks. He is currently serving as an Associate Editor for IEEE Transactions on Signal Processing. Detailed list of publications is available at http://www.cwc.oulu.fi/~atolli/Publications.pdf.
Juha Karjalainen (S’03, M’10) received his M.Sc.(Tech.) and Dr.Sc degree in electrical engineering from University of Oulu, Finland, in 2001 and 2011. Currently, he is working at Nokia Networks, Finland, as a Senior Specialist. Before he joined to Nokia Networks, he was working with Samsung Electronics as a Principal Standards Engineer. Prior to that, he was working at Renesas Mobile as a Principal Researcher, and with University of Oulu as a Research Scientist and Project Manager as well as Nokia Mobile Phones working as Senior Designer. His research interests include next generation mobile broadband communication systems, multi-antenna ransceiver schemes and interference management.
T6: 5G cellular localization: principles, opportunities and applications
Presented by: Ronald Raulefs (German Aerospace Center) and José A. del Peral-Rosado (Universitat Autònoma de Barcelona)
Time: 13:30–17:00
Room: TBA
Abstract—Emerging 5G networks face tremendous challenges on the provision of high-accuracy positioning, as well as ultra-high throughput, low latency, high reliability, and long communication range, depending on the usage case. The mobile location information typically relies on global navigation satellite systems (GNSS), such as GPS. But, these systems fail to deliver the required positioning performance in indoor or urban canyons, which have led to an evolution of existing networks (GSM, UMTS and LTE) to provide network-based localization. Still, conventional cellular localization is not sufficient to fulfil the stringent positioning requirements in terms of accuracy and reliability demanded by mission-critical applications, such as with unmanned and autonomous vehicles. Thus, the disruptive technologies envisaged for 5G need to be exploited in order to support precise, secure and safe localization in future applications. Furthermore, geo-location information is identified as a useful input to enhance different communications layers, such as PHY, MAC or network management. We will survey the evolution of cellular localization, discuss the new 5G research opportunities and applications, such as 5G location-aware communications, and outline potential lessons to be learned for future cellular generations, as well as a timely status of cellular localization within the 5G standard.
Tutorial Outline
- Introduction and motivation; R. Raulefs (10 min)
- Part I: Fundamentals of cellular localization; R. Raulefs (40 min)
- Localization: proximity, fingerprinting, trilateration, triangulation, hybrid
- Challenges of localization methods
- Commercial localization methods
- Classification of standard cellular location methods and its performance
- Part II: Standard location methods from 1G to 4G (J. A. del Peral-Rosado)
- Cellular standardization bodies
- 1G: Introduction of location methods in cellular systems
- 2G: Initial standardization of location methods
- 3G: Consolidation of standard methods and its enhancements
- 4G: Further enhancements of location methods
- Role of governmental bodies on the standardization
- Part III: 5G cellular localization (J. A. del Peral-Rosado)
- Current standardization of 5G positioning
- 5G disruptive technologies
- Research opportunities in 5G cellular localization
- Challenges and lessons learned
- Part IV: 5G localization applications; R. Raulefs (40 min)
- Location-awareness in cellular communication systems
- Ubiquitous location-based services (LBS)
- Unmanned and autonomous vehicles
- Massive and critical IoT applications
Biography
Ronald Raulefs received the Dipl.-Ing. degree from the University of Kaiserslautern, Germany, in 1999 and the Dr.-Ing. (PhD) degree from the University of Erlangen-Nuremberg, Germany, in 2008. He is working as senior research member at the Institute of Communications and Navigation of the German Aerospace Center (DLR) in Oberpfaffenhofen, Germany. Ronald Raulefs initiated and lead the EU FP7 project WHERE and its successor project WHERE2 (www.ict-where2.eu) as well as the task on cooperative location and communications in heterogeneous networks. He has taught courses on the cooperation between wireless communications and positioning systems. He held tutorials at the VTC’09, Sarnoff Symposium (2010), Summer school of WHERE/WHERE2 (2010), European Wireless (2013), ICC’13, Winter school Newcom#/IC 1004 (2013). He authored and co-authored 80+ scientific publications in conferences and journals. Currently he is the rapporteur of the ETSI RRS WG1 work item on a feasibility study of a radio engine for future systems. His current research interests include various aspects of mobile radio communications and positioning, including cooperative positioning for future cellular communication systems.
José A. del Peral-Rosado (S’12–M’15) received the Ph.D. degree in telecommunications engineering from the Universitat Autònoma de Barcelona (UAB) in 2014. Since 2014, he has been a Post-Doctoral Researcher with the Department of Telecommunications and Systems Engineering, UAB. From 2014 to 2016, he was a Visiting Researcher with the European Space Research and Technology Centre (ESTEC) at the European Space Agency (ESA), holding a grant from the ESA under the NPI programme. He was the publication chair of the ICL-GNSS 2016 conference, and he has organised several seminars within the topic of LTE, hybrid and 5G localization at relevant European institutions, such as ESA, DLR and EC-JRC. He is actively involved in COST CA15104 IRACON action. His research interests are in signal processing with applications to communications and navigation, hybrid satellite and terrestrial localization, and synchronization techniques and positioning with GNSS, 4G LTE, and 5G systems.
T7: Massive MIMO: Fundamentals, Trends and Recent Developments by Emil Björnson (Linköping University) and Luca Sanguinetti (University of Pisa) has been cancelled
T8: Ultra-Low Latency Mobile/Vehicular Networking by Kwang-Cheng Chen (University of South Florida) has been cancelled
CANCELLED
T9: NOMA for Next Generation Wireless Networks: State of the Art, Research Challenges and Future Trends by Zhiguo Ding (Lancaster University) and Robert Schober (Friedrich-Alexander University Erlangen-Nürnberg) has been cancelled
T10: AI-inspired Autonomous Networks
Presented by: Haris Gacanin (Nokia Bell Labs)
Time: 13:30–17:00
Room: TBA
Abstract—Shortcomings of contemporary rule-based optimization protocols requires re-thinking our approaches for boosting network performance. We envision truly autonomous future networks that exploit artificial intelligence (AI) concept enabling the network to understand how surrounding systems evolve, and build the necessary knowledge for adjusting its own behavior while taking user experience into account. To obtain this information, the network should be aware of the types of requested applications and utilized devices to infer a quality of experience metric. The practical step in this direction is establishing an autonomous self-X (self-learning, self-sensing and self-optimizing) space - allowing nodes to adapt, communicate, and reshape its goals with customers' preferences and sensed activities. The network learns, tracks and exploits the behavior of both the individual user and device by means of information sensing. The network then can tailor its future goals and objectives based on the user’s learnt preferences and feedback. Artificial intelligence (AI) and Machine Learning (ML) techniques will be necessary to design intelligence and abstract models from relevant data.
This tutorial explores challenges and future research directions related to AI-driven automation of future networks. We start with future network challenges and requirements toward contemporary optimization concepts and network organization (i.e., complex system-of-systems). We elaborate fundamental principles of artificial intelligence and end with case studies defining Self-X space such as self-deployment though real-life AI prototype implementation using commodity Wi-Fi access points.
Tutorial Outline
- 5G Network Overview (20 minutes)
- The System-of-Systems (40 minutes)
- AI fundamentals (60 minutes)
- Case study: Self-deployment and Self-optimization (60 minutes)
- Conclusions and Future Directions (10 minutes)
Biography
Haris Gacanin received his Dipl.-Ing. degree in Electrical engineering from University of Sarajevo, Bosnia and Herzegovina, in 2000. In 2005 and 2008, he received M.E.E. and Ph.D. from Tohoku University, Japan. He was with Tohoku University from April 2008 until May 2010 first as Japan Society for Promotion of Science postdoctoral fellow and then, as Assistant Professor. Since 2010, he is with Alcatel-Lucent (now Nokia), where he is currently Department Head at Nokia Bell Labs leading research activities related to application of artificial intelligence in network optimization with focus on mobile/wireless/wireline physical (L1) and media access (L2) layer technologies and network architectures. He has more than 180 publications (journals, conferences and patens) and invited/tutorial talks. He is senior member of the Institute of Electrical and Electronics Engineers (IEEE) and the Institute of Electronics, Information and Communication Engineering (IEICE).
9:00–12:30
T11: Internet of Vehicles: when SDN, Edge Computing and Big Data Meet Intelligent Transport Systems
Presented by: Yan Zhang (University of Oslo), Sabita Maharjan (Simula Research Laboratory) and Zhenyu Zhou (North China Electric Power University)
Time: 9:00–12:30
Room: TBA
Abstract—Internet of Vehicles (IoV) aims to exploit the state-of-the-art ICT to achieve sustainable and secure transport systems. The tutorial will cover the emerging area of Internet of Vehicles, including Software Defined Networks, Mobile Edge Computing and Big Data, and applications in Intelligent Transport Systems (ITS).
In this tutorial, we will present basic concepts related to Internet of Vehicles and key enabling technologies with respect to communications, computation, machine/deep learning and cyber-physical optimization. We will first introduce the main communication and computation techniques. Then, we will provide a thorough perspective on how software defined networking principle can be utilized for flexible resource management. Thereafter, we will talk about mobile edge computing concepts can be adapted for vehicular communication networks. This may become a very interesting research topic and a very promising application related to mobile edge computing. In this scenario, we will focus on resource allocation, models and optimization problems, and various offloading techniques. Finally, we will present our ideas on utilizing big data, machine learning and deep learning for content distribution and road traffic prediction in ITS. The approach and the solutions in this context will result in highly efficient interconnection and synergy among various types of components in the transport sector.
Tutorial Outline
- Internet of Vehicles: overview (Prof. Yan Zhang: 20 min)
- main concepts
- architectures and main principles
- Software Defined Networking (SDN) for Internet of Vehicles (Prof. Sabita Maharjan: 50 min)
- main concepts, and architectures
- main challenges related to: network architectures, resource allocation, security
- resource allocation: modelling, optimization, and performance improvement
- Mobile Edge Computing for Internet of Vehicles (Prof. Yan Zhang: 50 min)
- main concepts, and architectures
- offloading and caching architecture in vehicular networks
- offloading techniques: energy-efficiency, cooperation and QoS
- Big Data for Internet of Vehicles (Prof. Zhenyu Zhou: 50min)
- main concepts, architectures and protocols
- big data based content distribution in Internet of Vehicles
- big data and machine learning for intelligent transport traffic prediction
- Internet of Vehicles: summarization, and Q&A (Prof. Yan Zhang: 10min)
- References
Biography
Professor Yan Zhang is at Department of Informatics at University of Oslo, Norway. He received a PhD degree from Nanyang Technological University, Singapore. He is an Associate Technical Editor of IEEE Communications Magazine, an Editor of IEEE Transactions on Green Communications and Networking, an Editor of IEEE Communications Surveys & Tutorials, and an Associate Editor of IEEE Access. He also serves as the guest editor for IEEE Communications Magazine, IEEE Wireless Communications Magazine, IEEE Network Magazine, IEEE Transactions on Smart Grid, IEEE Transactions on Dependable and Secure Computing, IEEE Transactions on Industrial Informatics, IEEE Systems Journal, and IEEE Internet of Things journal. He serves as chair positions in a number of conferences, including IEEE GLOBECOM 2017, IEEE PIMRC 2016, IEEE CCNC 2016, WICON 2016, IEEE SmartGridComm 2015, and IEEE CloudCom 2015. His current research interests include: next-generation wireless networks leading to 5G, reliable and secure cyber-physical systems (e.g., smart grid, healthcare, and transport), Internet-of-Things, economic approaches (e.g., game theory) for networks performance optimization. He is a VTS Distinguished Lecturer during 2016-2018.
Dr. Sabita Maharjan is a Senior Research Scientist in Simula Research Laboratory, Norway, and an Associate Professor in University of Oslo, Norway. Dr. Maharjan received her Ph.D. degree from University of Oslo, and Simula Research Laboratory, Norway, in 2013. She worked as a Research Engineer in Institute for Infocomm Research (I2R), Singapore in 2010. She was a Postdoctoral Fellow at Simula Research laboratory, Norway from 2014 to 2016. Her current research interests include wireless networks, machine-to-machine communications, vehicle safety, vehicular communication networks, software defined wireless networking, and network resilience. She serves as the guest editor for IET Cyber Physical Systems.
Dr. Zhenyu Zhou is an Associate Professor at School of Electrical and Electronic Engineering, North China Electric Power University, China. Dr. Zhou received his M.E. and Ph.D degree from Waseda University, Tokyo, Japan in 2008 and 2011 respectively. From April 2012 to March 2013, he was the chief researcher at Department of Technology, KDDI. His research interests include Internet of Things (IoT), vehicular networks, and smart grid communications. He served as Associate Editor for IEEE Access, Guest Editor for IEEE Communications Magazine, Guest Editor for Transactions on Emerging Telecommunications Technologies (ETT), workshop co-chair for IEEE ISADS 2015. He received the “Young Researcher Encouragement Award” from VTS in 2009, “Beijing Outstanding Young Talent” from Beijing Government, China, and IET Premium Award from IET Society in 2017.
T12: Radio Communication for Communications-Based Train Control (CBTC) by Jahanzeb Farooq (Siemens A/S) has been cancelled