12/12/2016 9:08:54 AM
  • Tutorial 1


Advanced Photonic Technologies for Future Wireless

Communications and Imaging

Atsushi Kanno, Pham Tien Dat, and Toshimasa Umezawa

National Institute of Information and Communications Technology, Japan

Email: {kanno, ptdat, toshi_umezawa} @nict.go.jp


High-speed metro and access networks are indispensable to provide broadband services, especially bandwidth-hungry services and future 5G mobile networks to end users. Such networks should not serve only low-mobility users, but also those on fast-moving objects such as high-speed trains. Advanced wireline and wireless network solutions with ultra-high capacity, low transmission delay, high energy efficiency, and low cost need to be developed to support a wide range of applications and requirements in future networks. The convergence of wireline and wireless networks should also be considered to simplify the network configuration, management, and to realize new features and functions. Advanced photonic-based transmission systems are thus of critical importance to facilitate future mobile and wireless communications. In addition, high-performance imaging would play an important role to enhance safety and security of public infrastructure including airports, railways, etc. High-resolution radars can be constructed by the use of millimeter-wave and terahertz-wave where wide radio frequency resource is available. To cover wide ranges, a combination of radio and optical technologies via radio-over-fiber technology would be very useful to distribute and collect radio-wave information. This tutorial will present technical challenges, possible paths, and enabling system/device technologies for future mobile transport networks, including mobile backhaul and fronthaul. It will also discuss photonic-based millimeter-wave and terahertz-wave radar systems and related technologies for applications to public services, disaster recovery, etc. 

Tutorial Duration

90 minutes

Tutorial Outline 

- Challenges of future mobile transport networks;

- Photonics based solutions for future mobile fronthaul/backhaul systems;

- Photonic-based linear-cell millimeter-wave systems for moving objects;

- High-speed wireless communication and high-precision radar/imaging using advanced photonic technologies;

- Advanced photonic device technologies for high-speed communications and wireline-wireless convergence.


Atsushi Kanno received B.S., M.S., and Ph.D. degree in science from the University of Tsukuba, Japan, in 1999, 2001, and 2005, respectively. In 2005, he was with the Venture Business Laboratory of the Institute of Science and Engineering, University of Tsukuba, where he was engaged in research on electron spin dynamics in semiconductor quantum dot structures using the optical-polarization-sensitive Kerr effect measurement technique. In 2006, he joined the National Institute of Information and Communications Technology Japan. He is working on microwave/millimeter-wave/terahertz photonics for communication and imaging and ultrafast optical communication systems. He is a member of the Institute of Electronics, Information and Communication Engineers (IEICE), the Japan Society of Applied Physics (JSAP), and the Institute of Electrical and Electronic Engineers (IEEE).


Pham Tien Dat received the B.Eng. (Hons.) degree in electronics and telecommunication engineering from Posts and Telecommunications Institute of Technology, Vietnam, in 2003, and the M.Sc. and Ph.D. degrees in science of global information and telecommunication studies from Waseda University, Japan, in 2008 and 2011, respectively. He worked as a Researcher at Research Institute of Posts and Telecommunications, Vietnam from 2003 to 2006. In 2011, he joined the National Institute of Information and Communications Technology, Japan. His research interests are in the field of microwave/millimeter-wave photonics, radio over fiber and optical wireless systems. Dr. Pham is a member the Institute of Electrical and Electronic Engineers (IEEE).



Toshimasa Umezawa received B.E. and M.E. degrees in electronics from Nagaoka University, Niigata, Japan, in 1984 and 1986, respectively. From 1987 to 2011, he worked for the Yokogawa Electric Corporation; he was with the Central Research Laboratory and with the Photonics Business Department. In 1992, he was a visiting scholar in the Department of Applied Physics, Stanford University, and he received a Ph.D. degree in electronics from Tokyo University, Tokyo, Japan, in 1995, where he was engaged in research on superconductor devices, photonics devices, and their applications. In 2011, he joined the National Institute of Information and Communications Technology (NICT), Tokyo, Japan. His current research interests are E/O devices and photonic integrated circuits and millimeter-wave photonics.



  • Tutorial 2


Applications of Mobile Robots and Drones in Future Wireless Communication Systems

Des McLernon

School of Electronic & Electrical Engineering, University of Leeds, Leeds, UK

Email: D.C.McLernon@leeds.ac.uk


In parallel with the well documented comms revolution (e.g., internet, cellular phones, social media, etc.), another technological revolution is taking place with robotics. Robots (fixed, mobile, UAVs/drones) have recently been named as one of the world’s ‘eight great technologies’. In particular, by virtue of their mobility they can be used to assist in meeting the huge wireless communications demands outlined above. In this tutorial level talk I will show how signal processing allows mobile robots (either individually, as relays or as swarms) to enhance communications links and meet the aforementioned and other challenges. Specifically I will introduce:

  1. how the new concept of intelligent trajectory planners allow mobile robots to find (in an energy efficient manner) the optimum position from which to wirelessly upload data;
  2. how we can use efficient energy harvesting to assist robotic communications;
  3. how robotic arrays can use communications and signal processing in ‘search and rescue’ scenarios;
  4. how to optimise the communications performance of drone-based small cells (e.g., emergency response for resilience in future cities through to temporary cellular services for major events).

Tutorial Duration

60 minutes


Des McLernon received his BSc/MSc in electronic and electrical engineering from the Queen’s University of Belfast, N. Ireland. He then worked in industry on radar systems research and development with Ferranti Ltd in Edinburgh, Scotland and later joined Imperial College, University of London, where he took his PhD in signal processing. After first lecturing at South Bank University, London, UK, he then moved to the School of Electronic and Electrical Engineering, at the University of Leeds, UK, where he is a Reader in Signal Processing and Post Graduate Research Tutor. His research interests are broadly within the domain of signal processing for wireless communications systems (in which discipline he has published over 285 international journal and conference papers). He has supervised over 40 PhD students, given many invited talks in the UK and abroad and is associate editor of the UK IET journal “Signal Processing”. Recent conference organisation ctte involvement includes: IEEE workshop on Signal Processing Advances in Wireless Communications (SPAWC 2010, Marrakech), European Signal Processing Conference (EUSIPCO) 2013, IET Conference on Intelligent Signal Processing (London, 2013/2015/2017) and IEEE Globecom 2014/2015/2016 (Workshop on Trusted Communications with Physical Layer Security) and IEEE WCNC 2018. Finally, his research activities have been funded from different sources and his current research projects include PHY layer security, M2M comms/caching in heterogeneous networks, energy harvesting for comms, robotic and drone-based communications, intrusion detection in SDNs, distributed sensing, stochastic geometry, multi-packet reception, through the wall radar and spectrum sensing for cognitive radio.


  • Invited Talk 1


In-band Full-duplex Radios: Networking and Security Issues

Diep N. Nguyen

University of Technology Sydney, Australia

Email: Diep.Nguyen@uts.edu.au


The self interference suppression (SIS) capability allows a transmitting device to suppress its self-interference up to the noise floor, enabling two wireless radios to simultaneously transmit and receive on the same channel and even using the same antenna array. Radios with this in-band full-duplex (IBFD) capability have the potential to not only double the network throughput but also help solve various issues (e.g., Tx deafness, hidden/exposed nodes) at the MAC and network layers. Additionally, one can exploit the SIS capability in various applications like indoor localization, securing wireless transmissions. This talk gives an overview on recent developments of SIS and its implications on wireless networking and securities. Our latest findings on the network capacity, anti-jamming solutions, eavesdropper countermeasures for IBFD radios and their experimental prototypes are also discussed.

Tutorial Duration

60 minutes


http://web.uts.edu.au/staff-photos/Diep-Nguyen.jpgDiep N. Nguyen is a faculty member of the School of Computing and Communications, University of Technology Sydney (UTS). Before joining UTS, he was a DECRA Research Fellow at Macquarie University, a member of technical staff at Broadcom (California), ARCON Corporation (Boston), consulting the Federal Administration of Aviation on turning detection of UAVs and aircraft, US Air Force Research  Lab on anti-jamming. He has received several awards from LG Electronics, University of California, San Diego, The University of Arizona, US National Science Foundation, and the Australian Research Council, including the best paper award finalist at the WiOpt conference (2014) and the discovery early career researcher award (DECRA, 2015). He received B.Sc., M.E., and Ph.D. degrees in Electronics, Electrical and Computer Engineering from PTiT, University of California, San Diego (UCSD) and The University of Arizona (UA), respectively. His recent research interests are in the areas of computer networking, wireless communications, and machine learning with emphasis on systems' performance and security/privacy.