Deep Neural Network-based Wireless Communications: Physical Layer Design

#Deep #learning #wireless #communications
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Due to recent advances in deep learning, implementing wireless communications physical layer using deep neural networks becomes practically possible. In this talk, the motivation and advantages of using deep neural networks for wireless communications physical layer design will be discussed. Some of the recent ideas and the challenges in this area will also be surveyed.



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  • 115 North Road
  • Canberra, Australian Capital Territory
  • Australia 2600
  • Building: Brian Anderson Building
  • Room Number: Seminar Room A105
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  Speakers

Chia-Han of National Chiao Tung University

Biography:

Chia-Han Lee is the Hwa Tse Roger Liang Junior Chair Professor at National Chiao Tung University. He received the B.S. degree from National Taiwan University in 1999, the M.S. degree from the University of Michigan, Ann Arbor, in 2003, and the Ph.D. degree from Princeton University in 2008, all in electrical engineering. From 1999 to 2001, he served in the ROC Army as a Missile Operation Officer. From 2008 to 2009, he was a Postdoctoral Research Associate with the University of Notre Dame, USA. From 2010 to 2016, he was with Academia Sinica as an Assistant Research Fellow and then an Associate Research Fellow. Since 2016, he has been with National Chiao Tung University as an Associate Professor. He received Intel Labs Distinguished Collaborative Research Awards in 2014 and was named Intel Labs Distinguished Collaborator in 2015 (for years 2010-2015). He served as Co-Chair of Industry Presentations and Demonstrations for IEEE GLOBECOM 2017, and serves as Symposium Co-Chair for Mobile and Wireless Networks for IEEE GLOBECOM 2019. His research interest is machine learning-based wireless communications and networks, and he has been an Editor of IEEE Transactions on Wireless Communications and IEEE Communications Letters since 2014.

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Address:ED808, 1001 University Road, , Hsinchu, T'ai-wan, Taiwan