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Invited Talks

We are updating this section.

Confirmed invited speakers in alphabetical order:

 

Mehrdad Dianati

 

 

 

 

Prof. Mehrdad Dianati, University of Warwick, UK
Title: A Case for Connected Autonomy and Implications for 5G Systems
Abstract: An autonomous system by definitions computes decisions within its own boundaries. From this perspective, the notion of connected autonomous vehicles (CAV) may appear to be contradictory to the basic definition of autonomous systems. This presentation will firstly dissect this controversy and will try to clarify the role that connectivity can play in future driverless cars and its implications on 5G system requirements and design. Finally, a case study will be presented to highlight the importance of the trade-off between energy conservation in 5G systems and through their application in CAVs.
Short bio: Mehrdad Dianati received his BSc. and MSc. both in Electrical Engineering from Sharif University of Technology and K.N.T University of Technology, Iran. He completed his PhD in Electrical and Computer Engineering at the University of Waterloo in Canada. He is currently a Professor of Connected Autonomous Systems at Warwick Manufacturing Group (WMG) of the University of Warwick. He was previously a Professor at the Institute for Communication Systems (ICS) home of 5G Innovation Centre (5GIC). He has been involved in a number of national and international projects as technical coordinator and work-package leader in recent years. Mehrdad has 9 years of industrial experience as senior software/hardware developer and Director of R&D. He has been an associate editor for IEEE Transactions on Vehicular Technology, IET Communications and Wiley's Journal of Wireless Communications and Mobile.
   
 

Jaafar Elmirghani

 

 

 

 

Prof. Jaafar Elmirghani, University of Leeds, UK
Title: Greening big data IoT networks: Volume, Velocity, Variety, Veracity and the like
Abstract: Network traffic continues to grow at unprecedented rates, driven partly by video, but more recently by different forms of big data attributed to the increase in IoT data sources which are expected to exceed hundreds of billions of sources. Traffic attributed to healthcare, financial, industrial and personal use of IoT sources continues to grow. The big data generated has a number of key characteristics which include its huge volume, its varied forms and sources which may deliver the same information, its velocity where fast action may be needed and its veracity. The transmission of big data from the IoT sources at the edge of the network to data centres, often located in the heart of the network, can cause huge increase in network power consumption. Edge processing can assist, however, in addition, users are mostly interested in the knowledge embedded in the big data and not in the data itself. Therefore huge data compression may be possible and useful. In this talk we explore the projected power consumption due to big data. We examine a new form of “progressive processing” where the big data is initially processed at the edge of the network to extract small “knowledge” packets with subsequent processing in the network on route to data centres. This introduces a new form of “tapered data networks” where the network traffic decreases in volume as the traffic flow progresses from the edge towards data centres. We explore the implications of volume, velocity, variety and veracity on greening big data networks and outline future directions.
Short bio: Prof. Jaafar Elmirghani is FIET, FIoP, and Director of the Institute of Integrated Information Systems, Leeds. He has provided outstanding leadership in a number of large research projects, and was PI of the £6m EPSRC Intelligent Energy Aware Networks (INTERNET) Programme Grant. He is Co-Chair of the IEEE Green ICT initiative, a pan IEEE Societies initiative responsible for Green ICT activities across IEEE. He was awarded the IEEE Comsoc 2005 Hal Sobol award, 2 IEEE Comsoc outstanding service awards (2009, 2015), the 2015 GreenTouch 1000x award, IET Optoelectronics 2016 Premium Award and shared the 2016 Edison Award in the collective disruption category with a team of 6 from GreenTouch for joint work on the GreenMeter. His work led to 5 IEEE standards with a focus on energy efficiency, where he currently heads the work group responsible for IEEE P1925.1, IEEE P1926.1, IEEE P1927.1, IEEE P1928.1 and IEEE P1929.1, this resulting in significant impact through industrial and academic uptake. He was an IEEE Comsoc Distinguished Lecturer 2013-2016. He has published over 450 technical papers, and has research interests in green communication networks.
   
 

Vasilis Friderikos

 

 

 

 

Dr. Vasilis Friderikos, King's College London, UK
Title: Proactive Caching in Virtualized Multi-tenant 5G Networks
Abstract: In 5G systems edge caching of popular content is expected to be a primary technique to increase overall network efficiency as well as increasing user experience. The primary focus of the talk is to outline the area of proactive caching and the role that has to play in emerging vitualized 5G networks. In this setting we will consider caching as an integral part of a Virtual Network Function (VNF) chain and we detail challenges with an emphasis on mobility effects, routing and overall latency. The focus is on providing lower bounds on the performance via linear integer mathematical programming formulations where VNF chains and caching are jointly optimized. Scale free heuristics/greedy algorithms have also been an item of study since the above problems falls within the categories of multi-dimensional bin packing and facility location problems which are NP-hard optimization problems. In addition, the talk will also cover aspects of cache sharing between multiple tenants that will help increase overall network performance as well as energy consumption.
Short bio: Vasilis Friderikos is a Reader at the Department of Informatics at King's College London. His research interests lie broadly within the closely overlapped areas of wireless networking, mobile computing, and architectural aspects of the Future Internet. He has been organizing committee member of the Green Wireless Communications and Networks Workshop (GreeNet) during VTC Spring 2011. He has been track co-chair at the IEEE VTC-2015 Spring, IEEE PIMRC 2013, WWRF-32 and the IEEE WCNC 2010 conference (acting technical program committee member for IEEE Globecom, IEEE ICC and 40 other flagship international conferences over the last 7 years). He has also been teaching advanced mobility management protocols for the Future Internet at the Institut Supérieur de l'Electronique et du Numérique (ISEN) in France during autumn 2010. He has received two times best paper awards in IEEE ICC 2010 and WWRF conferences and published more than 200 papers. He has been visiting researcher at WinLab in Rutgers University (USA) and recipient of the British Telecom Fellowship Award in 2005.
   
 

Harald Haas

 

Prof. Harald Haas, University of Edinburgh, UK
Title: LiFi - High Speed Wireless Networking using Nano-Meter Waves
Abstract: The visible light spectrum is 1000 times larger than the entire radio frequency spectrum of 300 GHz, and this simple fact provides the motivation to use the visible light spectrum to augment RF (radio frequency) cellular communications. We will set the scene by motivating the need for new wireless spectrum. We will discuss the relationship between VLC (visible light communications) and LiFi, introducing the major advantages of VLC and LiFi such as physical layer security, and discuss existing challenges. Recent key advancements in physical layer techniques that led to transmission speeds greater than 10 Gbps will be discussed. Moving on, we introduce channel modelling techniques, and show how this technology can be used to create fully-fledged cellular networks achieving orders of magnitude improvements of area spectral efficiency compared to current technologies. The challenges that arise from moving from a static point-to-point visible light link to a LiFi network that can serve hundreds of mobile and fixed nodes will be discussed. An overview of recent standardization activities will be provided – primarily focusing on the new IEEE 802.11 bb - LC (light communication) Study Group activities. Lastly, we will moot commercialization challenges of this disruptive technology.
Short bio: Professor Haas received the PhD degree from the University of Edinburgh in 2001. He currently holds the Chair of Mobile Communications at the University of Edinburgh, and is founder and Chief Scientific Officer of pureLiFi Ltd as well as the Director of the LiFi Research and Development Center at the University of Edinburgh. His main research interests are in optical wireless communications, hybrid optical wireless and RF communications, spatial modulation, and interference coordination in wireless networks. He first introduced and coined spatial modulation and LiFi. LiFi was listed among the 50 best inventions in TIME Magazine 2011. Prof. Haas was an invited speaker at TED Global 2011, and his talk: "Wireless Data from Every Light Bulb" has been watched online more than 2.5 million times. He gave a second TED Global lecture in 2015 on the use of solar cells as LiFi data detectors and energy harvesters. This has been viewed online more than 2.0 million times. Professor Haas holds 43 patents and has more than 30 pending patent applications. He has published 430 conference and journal papers including a paper in Science. His Google Scholar h-index is 68, and his worked has been cited more than 21,000 times. He was co-recipient of recent best paper awards at VTC-Fall, 2013, VTC-Spring 2015, ICC 2016, ICC 2017 and ICC 2018. He was co-recipient of the EURASIP Best Paper Award for the Journal on Wireless Communications and Networking in 2015, and co-recipient of the Jack Neubauer Memorial Award of the IEEE Vehicular Technology Society. In 2012, he was the recipient of the prestigious Established Career Fellowship from the EPSRC in the UK. He received an EPSRC Fellowship extension in 2017. Prof. Haas is recipient of the Tam Dalyell Prize 2013 awarded by the University of Edinburgh for excellence in engaging the public with science. In 2014, he was selected by EPSRC as one of ten RISE (Recognizing Inspirational Scientists and Engineers) Leaders in the UK. In 2016, he received the outstanding achievement award from the International Solid-State Lighting Alliance. Haas holds a Wolfson Research Merit Fellowship from the Royal Society which was awarded 2017. He was elected a Fellow of the Royal Society of Edinburgh in 2017. Haas was elevated to IEEE Fellow in 2017.
   
 

Bingli Jiao

 

Prof. Bingli Jiao, Peking University, China
Title: An Opportunistic-Bit Method for Increasing Spectral Efficiency
Abstract: This talk presents a method for increasing the spectral efficiency of the massive IP packet transmission over single channel. As has been known, an IP packet can be divided into the header and data unit (DU). The former contains the sufficient information, such as information of the address, series number and CODEC, to the receiver and the latter carries the information bits of the communications. When dealing with the large number of the DUs, we define series of time slots (TS), each of which represents a number of bits. When a DU contains the bits which are same as that of the TS, we allocate the DU to the TS by cutting off the bits with the DU. By doing this, the bits taken for channel realization is saved. Consequently, the spectral efficiency is increased in terms of data rate and power saving. The simulation results confirm this approach.
Short bio: Professor Bingli Jiao obtained his BS and MS degrees at Peking University, China, in 1983 and 1988, and Dr. degree at University of Saarland, Germany in 1995, respectively. He is currently with Peking University as a full professor, director of the Center of Wireless Communication and Signal Processing, and a PKU director of the Advanced Communications Joint Lab between Peking University and Princeton University. His research interests are in the field of wireless communications and mobile healthcare. He initiated the R&D on co-frequency and co-time full duplex for the application to mobile networks in 2006. So far, he has published more than 70 journal papers.
   
 

Jamil Khan

 

Prof. Jamil Khan, University of Newcastle, Australia
Title: Sustainable Green IoT Network Framework for the Large Scale Outdoor Deployments
Abstract: With the expected deployment of billions of IoT devices and applications the need for environment friendly network infrastructure is increasing. At the same time the emerging 5G devices need to be 100 times more energy efficient than 4G devices. Hence, the green IoT network architecture will be an important components of the future ICT platforms that will enable deployment of large number of IoT field devices in a cost effective manner. Main design goals of a green IoT network are: i) to maintain highest energy efficiency by minimising Joules/bits/Sq.km, ii) to maximise the lifetime of network nodes and paths, iii) to maximise the use of harvested energy and iv) to minimise greenhouse emissions in all phases of the network design and deployment. This talk will concentrate of the development low power wide area energy harvested networks for IoT applications. Various energy harvesting techniques and practical harvester designs for outdoor IoT networks will be discussed. The design techniques will concentrate on harvesting energy from the operating environments. The presentation will then focus on energy harvest aware MAC and routing protocols for sensor and wide area sensor networks. Test and simulation results will be presented in the presentation.
Short bio: Jamil Khan currently an Associate Professor, Head of the Electrical engineering disciplines and the research leader of the Communication Networks group in the School of Electrical Engineering & Computing, The University of Newcastle, Australia. Jamil received his PhD in Electronic & Electrical Engineering from the University of Strathclyde, Glasgow, UK in 1991. Since his PhD he has worked in the University of Strathclyde in UK and in the Massey University in New Zealand before moving to his current university in 1998. His current research interests in areas of M2M and IoT networks, Energy harvesting networks, Vehicular networks and Network resource allocation techniques. He has published more than 170 international research papers and an edited book on Wireless Body Area Networks. A/Prof. Jamil Khan is a senior member of the IEEE Communications society and a member of the ACM.
   
 

David Lopez-Perez

 

Dr. David López-Pérez, Nokia Bell Laboratories, Dublin, Ireland
Title: The Future of Wireless Networks: More Cells, More Bandwidth and More Antennas
Abstract: This talk provides a high-level discussion on scaling capacity, and analyses how to make it physically possible to scale the cellular capacity by orders of magnitude. The three dimensions of densification, bandwidth, and spectral efficiency are discussed in detail. The one user per cell concept is introduced as the sweet spot for densification. The importance of idle modes, both for reducing interference and improving the energy efficiency in small cell networks is discussed. The impact of increased bandwidth on the power consumption is evaluated, and improving spectral efficiency with beamforming techniques is explored. Finally, the technology mix that can enable an average capacity of 1 Gbps per UE is derived.
Short bio: David López-Pérez is currently a member of Technical Staff at Nokia Bell Laboratories. Prior to this, David received the B.Sc. and M.Sc. degrees in telecommunication from Miguel Hernandez University, Spain, in 2003 and 2006, respectively, and the Ph.D. degree in wireless networking from the University of Bedfordshire, U.K., in 2011. David was also a RF Engineer with Vodafone, Spain, from 2005 to 2006, and a Research Associate with King's College London, U.K., from 2010 to 2011. David has done extensive work on cellular small cell and ultra-dense network performance analysis, inter-cell interference coordination and mobility management, has pioneered work on LTE and WLAN inter-working, forming part of the team that invented Wi-Fi Boost, which lead to 3GPP LWIP, and is the father of massive MIMO unlicensed (mMIMO-U); a technology that connects the dots among mMIMO and unlincesed spectrum. David has authored the book Small Cell Networks: Deployment, Management and Optimization (IEEE Press/Wiley, 2018), as well as over 120 book chapters, journal, and conference papers, all in recognized venues. He also holds over 41 patents applications. David received the Ph.D. Marie-Curie Fellowship in 2007, the IEEE ComSoc Best Young Professional Industry Award in 2016, and the IEEE WCNC'18 Best Student Paper Award of the track "Wireless Networks" in 2018. He was also a finalist for the Scientist of the Year prize in The Irish Laboratory Awards in 2013 and 2015. He is an editor of IEEE TRANSACTION on WIRELESS COMMUNICATIONS since 2016, and he was awarded as Exemplary Reviewer of the IEEE COMMUNICATIONS LETTERS in 2011. He is or has also  been a Guest Editor of a number of journals, e.g., the IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, the IEEE Communication Magazine and the IEEE Wireless Communication Magazine.
   
 

Nicola Marchetti

 

Dr. Nicola Marchetti, Trinity College Dublin, Ireland
Title: How Complex Systems Science can help us achieve Green IoT
Abstract: Studies of clustering in Wireless Sensor Networks (WSNs) usually tackle the problems of designing new algorithms and compare them based on a set of properties (e.g. energy efficiency, scalability), lacking the understanding of the underlying mechanisms and communication patterns that lead to these properties. Our approach tackles this lack of understanding by applying techniques developed by complex systems scientists. Functional topology graphs, which describe the interactions between system parts, are used to represent different implementations of clustering in WSNs. We employ a complexity metric - functional complexity (CF) - to quantify the potential of the functional topology to transport information. Our analysis highlights the trade-off between scalability and energy efficiency, showing that higher values of CF indicate higher scalability and lower energy efficiency.
Short bio: Dr. Nicola Marchetti is currently Assistant Professor in Wireless Communications at Trinity College Dublin, Ireland. He performs his research under the Trinity Information and Complexity Labs (TRICKLE) and the Irish Research Centre for Future Networks and Communications (CONNECT). He received the PhD in Wireless Communications from Aalborg University, Denmark in 2007, and the M.Sc. in Electronic Engineering from University of Ferrara, Italy in 2003. He also holds an M.Sc. in Mathematics which he received from Aalborg University in 2010. His collaborations include research projects in cooperation with Nokia Bell Labs and US Air Force Office of Scientific Research, among others. His research interests include Adaptive and Self-Organizing Networks, Complex Systems Science for Communication Networks, PHY Layer, Radio Resource Management. He has authored 110 journals and conference papers, 2 books and 7 book chapters, holds 2 patents, and received 4 best paper awards.
   
 

Michela Meo

 

Prof. Michela Meo, Politecnico di Torino, Italy
Title: Toward Sustainable Networks
Abstract: It has been estimated that the communications industry could use 20% of all the world electricity and emit up to 5.5% of the world carbon emissions by 2025, due to the deployment of 5G technology, supporting high-rate multimedia applications and carrying the traffic generated by several connected cars and machines, with robots and digitalized systems producing huge amounts of data to be stored in data centers. In addition, one billion more people will start being connected in developing countries, further increasing the number of devices and demand for services. In the last 10 years, a lot of efforts have been devoted to the improvement of energy efficiency of the ICT infrastructure of wireless and wired networks, as well as data center. While much has been done in this direction, networks are still mainly powered by fossil fuels and the fast increase of ICT power demand calls for a holistic approach to sustainability in which energy generation and management is integrated in the infrastructure design and operation. In the talk, we will discuss some challenges related to network sustainability and the need to include energy generation and management in wireless network design.
Short bio: Michela Meo is a professor at Politecnico di Torino in Communication Engineering. She received the Laurea degree in Electronic Engineering in 1993, and the Ph.D. degree in Electronic and Telecommunications Engineering in 1997, both from the Politecnico di Torino, Italy. She was Deputy Rector of Politecnico di Torino from March 2017 to March 2018. Her research interests include green networking, energy-efficient mobile networks and data centers, Internet traffic classification and characterization. She co-authored about 200 papers, edited a book with Wiley on Green Communications and edited special issues of international journals, including ACM Monet, Performance Evaluation, and Elsevier Computer Networks. She chairs the International Advisory Council of the International Teletraffic Conference and was chair of the Steering Committee of IEEE Online GreenComm. She was associate editor of ACM/IEEE Transactions of Networking and Green Series of the IEEE Journal on Selected Areas of Communications, and she is now area editor of IEEE Transactions on Green Communications and Networking and associate editor of IEEE Communication Surveys and Tutorials.
   
 

Leila Musavian

 

Dr. Leila Musavian, University of Essex, UK
Title: How Low Latency Requirement Shapes the Tradeoff between System Energy Consumption and Achievable Rate
Abstract: It is known that in most of the operating communication systems, improving spectral efficiency will lead to decreasing energy efficiency of the system. Given that improving SE and EE are major concerns for most of future communication systems, studying the relation between the two can have important impact on the transmission parameter design of these systems. Although the SE and EE trade-off is well studied in traditional networks, the characteristics of this tradeoff is not known well in Low Latency regime. This talk focuses on the effects of the delay limitation on the SE-EE tradeoff pattern.
Short bio: Leila Musavian received her Ph.D. degree in Telecommunications from Kings College London, UK, in 2006. She is currently working as a Reader in Telecommunications at the School of Computer Science and Electrical Engineering, University of Essex. Prior to that, she was a Lecturer at InfoLab21, Lancaster University (2012-2016). She was a Research Associate at McGill University (2011-2012), a research associate at Loughborough University, UK (2009-2010) and a post-doctoral fellow at INRS-EMT, Canada (2006-2008). She is correctly the Deputy Director of Research of the School of Computer Science and Electronic Engineering, University of Essex. Her research interests lie in Radio Resource Management for Low latency communications, next generation wireless networks, radio resource allocations, Energy Harvesting, Green Communication, energy-efficient transmission techniques, cross-layer design for delay QoS provisioning and 5G systems. She is an editor of IEEE TRANSACTIONS OF WIRELESS COMMUNICATIONS, Executive Editor of Transactions on Emerging Telecommunications Technologies and Associate Editor of Wiley’s Internet Technology Letters. She has been TPC Co-Chair of CorNer 2016 (in conjunction with ISWCS 2016) and Co-Chair of mmWave 5G (STEMCOM 2016) and TPC member of several conferences including IEEE ICC, IEEE GLOBECOM, IEEE WCNC, IEEE ICCCN, IEEE PIMRC, ChinaCom.
   
 

Maziar Nekovee

 

Prof. Maziar Nekovee, University of Sussex, UK
Title: Machine Learning and AI for 5G/beyond 5G Telecom Networks
Abstract: In this talk I provide an overview of a number of AI and Machine-Learning technique relevant to 5G/beyond 5G Telecom Networks, as well as a review of the relevant emerging industry standards and activities in this field. I will illustrate the topic with a number of applications to planning and management of RAN and Core network resources from ours and other recent research, including recent work undertaken at University of Sussex in collaboration with Samsung R&D UK.
Short bio: Maziar Nekovee is Professor of Telecoms and Mobile Technology an Head of Department Engineering and Design at University of Sussex, UK and also Director of Research Unity in 5G, Mobile technology and IoT. His current research focuses on 5G and beyond-5G Mobile Communications and AI for Telecommunication Networks and radio spectrum auctions. Prior to his current post he was from 2013 to 2017 he was with Samsung R&D, where he led Samsung’s European Research and Collaborations in 5G. Prior to joining Samsung he was from 2201-20013 with BT (British Telecom) Research and Innovation. Maziar has a PhD in Physics from University of Nijmegen and a 1st degree in Electrical and Electronic Engineering from Delft University of Technology, in the Netherlands. He is the author of over 100 papers, one book and 13 patents. See also http://www.sussex.ac.uk/profiles/410738
   
 

Magnus Olsson

 

Magnus Olsson, Huawei Technologies, Stockholm, Sweden
Title: Energy Efficiency in 5G: Challenges and Opportunities
Abstract: Research on 5G has been ongoing for more than 5 years, resulting in the first version of the 5G-NR standard finalized by 3GPP end of 2017, and first commercial deployments are expected during 2018. A new radio standard and its roll-out in mobile networks implicate both challenges and opportunities of different kinds, not the least for network energy efficiency. This presentation will, based on mobile network and traffic reality, elaborate on what matters when designing for energy efficiency, how the new 5G-NR standard has taken this into account, and finally the energy efficiency challenges and opportunities related with 5G and its deployment in mobile networks.
Short bio: Magnus Olsson has been in the wireless industry for almost 20 years. Since 2017, he holds a position as Principal Energy Efficiency expert at the Corporate Energy Saving department of Huawei Technologies, based at the Stockholm Research Center in Sweden, where his current responsibilities include energy efficiency of 5G. Before that, he was with Ericsson Research, Stockholm, Sweden, which he joined in 2000. Over the years he has worked on several radio access technologies and areas such as advanced antenna systems, interference rejection techniques, and energy efficiency of radio access networks (RAN). He has authored and co-authored over 30 international journal and conference papers as well as book chapters, and is a recipient of the IEEE Communications Society Fred W. Ellersick Prize (2014). He has held leading positions in both internal and various European collaborative research projects. For example, he was the Technical Manager of the successful €14.8m EU FP7 EARTH project on RAN energy efficiency which received the ceFIMS Future Internet Award (2012). Since 2015, he is on the steering committee of the IEEE Green ICT initiative, a pan IEEE Societies initiative responsible for Green ICT activities across IEEE.
   
 

Miguel Rio

 

Prof. Miguel Rio, University College London, UK
Title: Learning how to Internetwork
Abstract: Although the Internet has evolved to be the biggest engineering system developed in history, it still relies mainly in algorithms and protocols that are decades old. For example, routing still relies on the Dijkstra algorithm from the 1950s and congestion control still uses TCP, which has changed little since the 1980s. The ability of machine learning techniques to significantly upgrade the intelligence of these algorithms opens the possibility of a much more efficient Internet. This talk will look at the data workflow of the upper layers in the network (network, transport and application) and explore work on machine learning being currently done to improve all its components including network routing, congestion control, network management and service placement.
Short bio: Miguel Rio received the Ph.D. degree from the University of Kent, Canterbury, U.K., and the M.Sc. and M.Eng. degrees in informatics from the University of Minho, Braga, Portugal. He is Professor of Computer Networks, Department of Electronic and Electrical Engineering, University College London, London, U.K. He has authored more than 100 articles in top ranked conferences and journals and has been the principal investigator in numerous projects funded by industry, UK government, the European Union and the US Army. His research interests include network measurement, congestion control, IoT, network routing and the application of machine learning to a variety of network related optimisation problems.
   
 

Sennur Ulukus

 

Prof. Sennur Ulukus, University of Maryland at College Park, USA
Title: Age of Information in Energy Harvesting Communications
Abstract: Age of information (AoI) is a recently introduced metric that measures the freshness of information at the end-nodes in a network. In order to minimize AoI, and thus keep data fresh, a transmitter needs to send status updates to the receiver sufficiently frequently and as regularly as possible. In energy harvesting communications, sending status updates is further constrained by the availability of energy at the transmitter. In this talk, we will introduce the main aspects of AoI and energy harvesting communications, and present recent results for AoI minimization in energy harvesting networks.
Short bio: Sennur Ulukus is a Professor of Electrical and Computer Engineering at the University of Maryland at College Park, where she also holds a joint appointment with the Institute for Systems Research (ISR). Prior to joining UMD, she was a Senior Technical Staff Member at AT&T Labs-Research. She received her Ph.D. degree in Electrical and Computer Engineering from Wireless Information Network Laboratory (WINLAB), Rutgers University, and B.S. and M.S. degrees in Electrical and Electronics Engineering from Bilkent University. Her research interests are in wireless communications, information theory, signal processing, and networks, with recent focus on private information retrieval, timely status updates over networks, energy harvesting communications, information theoretic physical layer security, and wireless energy and information transfer. Dr. Ulukus is a fellow of the IEEE, and a Distinguished Scholar-Teacher of the University of Maryland. She received the 2003 IEEE Marconi Prize Paper Award in Wireless Communications, an 2005 NSF CAREER Award, the 2010-2011 ISR Outstanding Systems Engineering Faculty Award, and the 2012 ECE George Corcoran Education Award. She is a Distinguished Lecturer of the Infomation Theory Society for 2018-2019. She is on the Editorial Board of the IEEE Transactions on Green Communications and Networking since 2016. She was an Editor for the IEEE Journal on Selected Areas in Communications–Series on Green Communications and Networking (2015-2016), IEEE Transactions on Information Theory (2007-2010), and IEEE Transactions on Communications (2003-2007). She was a Guest Editor for the IEEE Journal on Selected Areas in Communications (2015 and 2008), Journal of Communications and Networks (2012), and IEEE Transactions on Information Theory (2011). She was a general TPC co-chair of 2017 IEEE ISIT, 2016 IEEE Globecom, 2014 IEEE PIMRC, and 2011 IEEE CTW.
   
 

Shunqing Zhang

 

Prof. Shunqing Zhang, Shanghai University, China
Title: From GREAT to GREAT - Wireless Communications and Deep Learning
Abstract: Energy efficiency has become a basic performance measure for 5G communication systems. In this talk, we will first review the past fundamental tradeoffs and the corresponding energy efficient schemes in 4G communication systems that were raised by Green Radio Excellence in Architecture and Technology (GREAT) project 5 years ago. Meanwhile, to deliver energy efficient schemes, we established the Group of Research and Education in AI and Telecommunication (GREAT) team to combine the machine learning techniques with wireless big data. Specifically, we will use the machine learning technology to design the reconfigurable decoder, dynamic carrier and power amplifier mapping, as well as wireless localization problems.
Short bio: Shunqing Zhang received the B.S. degree from the Department of Microelectronics, Fudan University, Shanghai, China, in 2005, and the Ph.D. degree from the Department of Electrical and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong, in 2009. He was with the Communication Technologies Laboratory, Huawei Technologies, as a Research Engineer and then a Senior Research Engineer from 2009 to 2014, and a Senior Research Scientist of Intel Collaborative Research Institute on Mobile Networking and Computing, Intel Labs from 2015 to 2017. Since 2017, he has been with the School of Communication and Information Engineering, Shanghai University, Shanghai, China, as a Full Professor. His current research interests include energy efficient 5G/5G+ communication networks, hybrid computing platform, and joint radio frequency and baseband design. He has published over 60 peer-reviewed journal and conference papers, as well as over 50 granted patents. He is a senior member of IEEE, received the National Young 1000-Talents Program, and won the paper award for Advances in Communications from IEEE Communications Society in 2017.
   
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