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Some New Trends in Wireless Communications
Date: 2015/11/30             Browse: 520

Speaker: Jun Zhang

Time: Nov 30, 2:30pm - 3:30pm.

Location: Room 306, Teaching Center, Zhangjiang Campus

Abstract:

During the past five years, the main theme in the research community of wireless communications is the “1000x challenge”. That is to increase the network capacity by 1000 times in the following decade, in order to accommodate the exponentially growing mobile data traffic. However, the recent advent of mobile social media, the Internet of Things (IoT), and Big Data Analytics brings more diversified service requirements, e.g., multi-gigabit-per-second data rates, ultra-low latency in the millisecond range, and ultra-dense network access. Thus disruptive technologies are needed to further evolve wireless networks to address the new demands. In this talk, the following topics will be introduced: 1) wireless communications with renewable energy; 2) content caching at the wireless network edge; 3) mobile edge computing. Representative results will be introduced, and future research directions will be discussed.

Bio:

Dr. Jun Zhang is a Research Assistant Professor in the Department of Electronic and Computer Engineering at the Hong Kong University of Science and Technology (HKUST). He received the Ph.D. degree in Electrical and Computer Engineering from the University of Texas at Austin in 2009. Dr. Zhang is co-author of the book “Fundamentals of LTE” (Prentice-Hall, 2010). He received the 2014 Best Paper Award for the EURASIP Journal on Advances in Signal Processing, and the PIMRC 2014 Best Paper Award. He is an Editor of IEEE Transactions on Wireless Communications, and a Senior Member of IEEE. He frequently serves on the technical program committees of major IEEE conferences in wireless communications, such as ICC, Globecom, WCNC, VTC, etc., and served as a MAC track co-chair for IEEE WCNC 2011. His research interests include wireless communications and networking, green communications and computing, and statistical signal processing.                  

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