BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Israel BEGIN:DAYLIGHT DTSTART:20220325T030000 TZOFFSETFROM:+0200 TZOFFSETTO:+0300 RRULE:FREQ=YEARLY;BYDAY=-1FR;BYMONTH=3 TZNAME:IDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20211031T010000 TZOFFSETFROM:+0300 TZOFFSETTO:+0200 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:IST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20220104T141651Z UID:129C9175-33AC-4311-9C59-6074CEA0F444 DTSTART;TZID=Israel:20211215T110000 DTEND;TZID=Israel:20211215T123000 DESCRIPTION:Digital predistortion (DPD) has been widely adopted to keep RF power amplifier operating with high efficiency without losing linearity in the exiting 4G systems. It is expected that DPD will continue to be deplo yed in 5G systems. However\, due to shifting from the single antenna to th e multiple-input multiple-output (MIMO) phased array and continuously incr eased signal bandwidth\, system designers face significant challenges in m anaging power consumption and meeting linearity requirement of wireless tr ansmitters. In this talk\, we will discuss how the recently developed mach ine learning techniques can be utilised to resolve some of the issues in l inearizing 5G MIMO systems\, including data-clustering assisted DPD for mu ltiple dynamic configurations\, model tree-based behavioural model constru ction and simplified model extraction techniques.\n\nAnding Zhu received t he Ph.D. degree in electronic engineering from University College Dublin ( UCD)\, Dublin\, Ireland\, in 2004. He is currently a Professor with the Sc hool of Electrical and Electronic Engineering\, UCD. His research interest s include high-frequency nonlinear system modeling and device characteriza tion techniques\, high-efficiency power amplifier design\, wireless transm itter architectures\, digital signal processing\, and nonlinear system ide ntification algorithms. He has published more than 160 peer-reviewed journ al and conference articles. Professor Zhu served as the Secretary of Admin istrative Committee (AdCom) of IEEE Microwave Theory and Techniques Societ y (MTT-S) in 2018. He is currently an Elected Member of MTT-S AdCom\, the Chair of Electronic Information Committee and the Vice Chair of Publicatio ns Committee. He is also the Chair of MTT-S Microwave High-Power Technique s Committee and a Track Editor of IEEE Transactions on Microwave Theory an d Techniques.\n\nImportant: The participation is free of charge\, but regi stration is required\n\n[/registration-anding-zhu/](https://acrc.net.techn ion.ac.il/registration-anding-zhu/)\n\nVirtual: https://events.vtools.ieee .org/m/298988 LOCATION:Virtual: https://events.vtools.ieee.org/m/298988 ORGANIZER:shahar@ee.technion.ac.il SEQUENCE:0 SUMMARY:Digital Predistortion for 5G MIMO Transmitters Using Machine Learni ng - Prof. Anding Zhu\, University College Dublin\, Ireland URL;VALUE=URI:https://events.vtools.ieee.org/m/298988 X-ALT-DESC:Description: <br /><p>Digital predistortion (DPD) has been widel y adopted to keep RF power amplifier operating with high efficiency withou t losing linearity in the exiting 4G systems. It is expected that DPD will continue to be deployed in 5G systems.&nbsp\; However\, due to shifting f rom the single antenna to the multiple-input multiple-output (MIMO) phased array and continuously increased signal bandwidth\, system designers face significant challenges in managing power consumption and meeting linearit y requirement of&nbsp\; wireless&nbsp\; transmitters.&nbsp\; In this talk\ , we will discuss how the recently developed machine learning techniques c an be utilised to resolve some of the issues in linearizing 5G MIMO system s\, including data-clustering assisted DPD for multiple dynamic configurat ions\, model tree-based behavioural model construction and simplified mode l extraction techniques.</p>\n<p><strong>Anding Zhu</strong>&nbsp\;receive d the Ph.D. degree in electronic engineering from University College Dubli n (UCD)\, Dublin\, Ireland\, in 2004. He is currently a Professor with the School of Electrical and Electronic Engineering\, UCD. His research inter ests include high-frequency nonlinear system modeling and device character ization techniques\, high-efficiency power amplifier design\, wireless tra nsmitter architectures\, digital signal processing\, and nonlinear system identification algorithms. He has published more than 160 peer-reviewed jo urnal and conference articles. Professor Zhu served as the Secretary of Ad ministrative Committee (AdCom) of IEEE Microwave Theory and Techniques Soc iety (MTT-S) in 2018. He is currently an Elected Member of MTT-S AdCom\, t he Chair of Electronic Information Committee and the Vice Chair of Publica tions Committee. He is also the Chair of MTT-S Microwave High-Power Techni ques Committee and a Track Editor of IEEE Transactions on Microwave Theory and Techniques.</p>\n<p><strong>Important</strong>: The participation is free of charge\, but registration is required</p>\n<p><strong><a href="htt ps://acrc.net.technion.ac.il/registration-anding-zhu/">/registration-andin g-zhu/</a></strong></p> END:VEVENT END:VCALENDAR