Wireless Transmission of Big Data: A Transmission Time Perspective

#big #dat; #future #wireless #communication #system; #efficient #transmission
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We are in the era of big data. Future wireless communication systems should effectively support various big data applications through the efficient transmission of large amounts of data. In this talk, we explore the wireless transmission of big data from a transmission time aspect. In particular, we investigate the transmission time of a large amount of data over wireless fading channel with adaptive modulation and coding (AMC). Unlike traditional transmission systems, the transmission time of AMC systems becomes a random variable, as the transmission rate varies with the fading channel condition. We derive the exact statistics of transmission time over various fading environment. We further extend the investigation to the cognitive environment. With interweave cognitive implementation, a secondary user transmits only if primary user does not occupy the channel. Therefore, secondary data transmission involves both transmission periods and waiting periods. We study the statistics of the resulting extended delivery time of secondary data transmission with adaptive transmission. These analytical results will greatly benefit the study of big data applications in wireless environment.



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  • Date: 17 Aug 2018
  • Time: 04:00 PM to 05:00 PM
  • All times are (GMT-08:00) Canada/Pacific
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  • UBC, Okanagan Campus, 3333 University Way
  • Kelowna, British Columbia
  • Canada
  • Building: EME
  • Room Number: 0050

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  • Co-sponsored by UBC Okanagan
  • Starts 13 August 2018 07:09 PM
  • Ends 17 August 2018 04:09 PM
  • All times are (GMT-08:00) Canada/Pacific
  • No Admission Charge


  Speakers

Dr. Ryan Hayward Dr. Ryan Hayward of Department of Computing Science University of Alberta

Biography:

Ryan Hayward received his B.Sc. and M.Sc. in mathematics from Queen’s University (Kingston) in 1981 and 1982 and his Ph.D. in computer science from McGill University in 1987.
His doctoral thesis, Two Classes of Perfect Graphs, was supervised by Vaclav Chvatal. From 1986 through 1989 he was assistant professor in the Department of Computer Science at Rutgers University, after which he held an Alexander von Humboldt fellowship at the Institute for Discrete Mathematics in Bonn for 1989-90. From 1990 through 1992 he was assistant professor in the Department of Computing Science at Queen’s University. From 1992 he was assistant and then associate professor in the Department of Mathematics and Computer Science at the University of Lethbridge, until in 1999 joining the Department of Computing Science at the University of Alberta, where he was promoted to professor in 2004.

He has supervised 13 graduate and 29 undergraduate students, some of whom later became university professors. His current research interests include algorithms for two-player games.
His group (including at times Yngvi Bjornsson, Michael Johanson, Broderick Arneson, Philip Henderson, Jakub Pawlewicz, and Aja Huang — later lead programmer of AlphaGo) has built the world’s strongest computer Hex player, and has solved two 1-move 10×10 Hex openings and all smaller-board openings. With Bjarne Toft, he is writing a book on the history of Hex,
to be published in 2018.

Address:University of Alberta, , Edmonton, Alberta, Canada

Prof. Hong-Chuan Yang

Topic:

Wireless Transmission of Big Data: A Transmission Time Perspective

Biography:

Prof. Hong-Chuan Yang received the Ph.D. degree in Electrical Engineering from the University of Minnesota, Minneapolis, USA, in 2003. Dr. Yang is a professor of the Department of Electrical and Computer Engineering at the University of Victoria, Victoria, Canada. From 1995 to 1998, he was a Research Associate with the Science and Technology Information Center (STIC) of Ministry of Posts & Telecommunications (MPT), Beijing, China. His research focuses on different aspects of wireless communications, with special emphasis on the analysis and design of energy and spectral efficient transmission technologies. Dr. Yang is the co-author of the book Order Statistics in Wireless Communications (Cambridge Univ. Press) and the author of the book Introduction to Digital Wireless Communications (IET Publishing). He was a recipient of the Doctoral Dissertation Fellowship (DDF) award from the graduate school of the University of Minnesota. Dr. Yang is a senior member of IEEE and a registered professional engineer in BC, Canada. He is currently serving as Editors for IEEE Transaction on Communications and Journal on Communications and Networking. 

Address:University of Victoria, , Victoria, British Columbia, Canada