All registered participants are eligible to attend the following tutorial program on 28th November 2017.


Speakers Affiliation Tutorial Topic
Dr. Igbafe Orikumhi
 Universiti Teknologi MALAYSIA, MALAYSIA
Simultaneous Wireless Information and Power Transfer
 Dr. Suhanya Jayaprakasam
 Hanyang University, South Korea
Distributed and Collaborative Beamforming: How Cooperation and Optimization Benefit the Network
 Dr Mardeni Roslee
 Multimedia University, MALAYSIA
Cognitive Radio for 4.5G and 5G wireless Networks

Sunwoo Kim, Ph. D.

Hanyang University, South Korea
Wireless Localization and Location-aware Communications

Tutorial 1: Simultaneous Wireless Information and Power Transfer

Abstract:  In this tutorial, the fundamental concept, challenges, and opportunities of the simultaneous wireless information and power transfer in communication networks are presented. Current research focuses on how to improve the battery life while remotely charging battery powered devices as well as sensor nodes from radio frequency (RF) energy sources. In the scope of this tutorial, we present efficient solutions and feasibility of transferring wireless energy and information simultaneously.

Speaker Biography: Igbafe Orikumhi received the B.Eng. degree in electrical and computer engineering from the Federal University of Technology Minna, Minna, Nigeria, in 2008, and the M.Sc. degree in electrical electronics and telecommunications engineering from the Universiti Teknologi Malaysia, Skudai, Malaysia, in 2014. He received his Ph.D. degree in electrical engineering at the Universiti of Teknologi Malaysia in 2017, where he is also currently a Research Associate. His research interests include relay transmission, cooperative communications, wireless communication, simultaneous wireless information and power transfer, nonorthogonal multiple access, antenna propagation, and 5G communications.

Tutorial 2: Distributed and Collaborative Beamforming: How Cooperation and Optimization Benefit the Network

Abstract: Distributed and collaborative beamforming (DCBF) is a branch of cooperative communication where randomly located independent nodes cooperate with each other to form a virtual antenna array. DCBF is a relatively new research topic which has only caught the interest of the wireless communications researchers over the past decade. The collaborative communication improves the life time of communication nodes, making the DCBF valuable for wireless nodes with crucial resources and battery life especially in applications where the network is deployed at places where it difficult to replace or recharge the power source. The DCBF also alleviates long-distance transmission limitation in circumstances where it is unsuitable to layout sink node and multi-hop transmission. The application of the DCBF has been discussed in various state-of-the-art wireless communication technology. Application of the DCBF in wireless power transfer could alleviate the low-power and short-range problem in this field. Similarly, resource-limited body area network (BAN) also reaps benefit from the DCBF. Furthermore, application of the DCBF in the unmanned aerial vehicle (UAV) and autonomous vehicle has also been discussed in the recent times. This tutorial will provide an exhaustive introduction on the DCBF and its research trends. Audience will be introduced to the four major categories of the DCBF research: 1) beampattern synthesis and analysis, 2) power and lifetime optimization, 3) synchronization, and 4) prototyping. The existing literature on DCBF are classified according to their research directions and prominent works that can be adopted as pilot research papers for future research will be highlighted. The inherent features, constraints and challenges of each research direction as well as the lessons learned from the shortcomings of previous research work will be discussed. Exciting research trends in DCBF which have been emerging in the last few years will be highlighted. Audience will then be provided with an in-depth discussion on the application of meta-heuristic optimization in improving the performance to the DCBF. Meta-heuristics is a sophisticated trial-and-error solution finding method with controlled randomization techniques. In general, application of heuristics and meta-heuristic algorithms in an optimization problem greatly helps in reducing the convergence time of the optimization. The application of meta-heuristics to improve various aspects of the DCBF will be presented. Finally, this tutorial will unveil open research directions in the field of distributed and collaborative beamforming. This tutorial hopes to furnish early researchers with a comprehensive introduction on distributed and collaborative beamforming and provide caution and suggestions to future researchers in this field to avoid the common pitfalls. This tutorial also hopes to enable multi-disciplinary research collaboration between signal processing, antenna and computer science researchers to embark on exciting research in the DCBF field.

Speaker Biography:

Suhanya Jayaprakasam completed her PhD at the Wireless Communication Center in University Teknologi Malaysia in 2016 She received her B.Eng in Electronics Engineering from the Faculty of Electrical Engineering at Universiti Teknologi Malaysia in 2007 and her M.Sc.Eng from the Faculty of Engineering of Multimedia University, Malaysia in 2011. She is currently a research professor in the Wireless Systems Laboratory at Hanyang University, South Korea. Her research interests include smart antenna system, distributed and collaborative beamforming, optimal resource allocation and location-aware wireless communications and millimeter wave communications.

Tutorial 3: Cognitive Radio for 4.5G and 5G wireless Networks

Abstract:  Nowadays, high speed and high quality of service for mobile user are always in demand. Audio/Video streaming, online conferences and social media services are becoming the necessity of life. In order to fulfil the sheer amount of data need of users, robust and efficient wireless technology is needed. 4.5G and 5G are the solution for future mobile wireless networks. Therefore, cognitive radio (CR) is chosen as a promising way in order to handle this technology. CR networks become very useful technique to fully utilize the spectrums. This workshop is expected to provide a good solid fundamental of cognitive radio network and explanation of using GNU Radio. It will cover what cognitive radio can offer for 4.5G and future 5G communication and the research challenges.

Speaker Biography: Dr.Mardeni is a registered Chartered Engineer with the Engineering Council United Kingdom, and Member with The Institution of Engineering and Technology (IET), UK. As a Chartered Engineer, he bring a diversified range of engineering experience in design & development and engineering management. His experiences include the consultation, professional institution and academic sectors. Currently, he is an academician under faculty of Engineering, Multimedia University, Cyberjaya. He is a Senior Member of IEEE and senior member of IACSIT. His current research interests are wireless mobile communication and radar communication system

Tutorial 4:  Wireless Localization and Location-aware Communications

Abstract: In this tutorial, the various localization techniques and their applications to locationaware communication will be presented. The localization techniques will include WLAN based, Range-based, Range-free, and the accuracy improving schemes will be given. The future communication systems that will benefit from the explicit location information will be also discussed in details.

Speaker Biography: Sunwoo Kim received his B.S degree from Hanyang University, Seoul, Korea in 1999, and his Ph.D. degree, in 2005, from the Department of Electrical and Computer Engineering, University of California, Santa Barbara. Since 2005, he has been working in the Department of Electronic Engineering at Hanyang University, Seoul, Korea, where he is currently a professor. His research interests include wireless communication/positioning/localization, signal processing, vehicular networks, and locationaware communications.

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