NSF / WINLAB Workshop on Reconfigurable Radio Environments
[ https://www.cosmos-lab.org/nsf-winlab-workshop-on-reconfigurable-radio-envir... | NSF / WINLAB Workshop on Reconfigurable Radio Environments ] Date: TODAY - Friday, November 13, 2020 Time: 12:00 – 2:30pm Eastern Smart or reconfigurable radio environments have attracted considerable attention for next-generation wireless networks. In these networks, objects in the wireless environment are enhanced with passive or active reconfigurable antennas and reflectors or coatings of (meta)materials that can be electrically controlled to manipulate the scattering patterns of radio waves. These intelligent surfaces, combined with suitable control and sensing algorithms, offer the potential for increased coverage and data rates along with new sensing capabilities. Is this technology hype or real? This workshop brings together leading experts in the field to discuss the capabilities of intelligent reconfigurable radio environments and their impact on future wireless networks. The workshop is part of an effort linked to the National Center for Wireless Spectrum Research (SII-Center) Panelists Marco di Renzo, CNRS Research Director – CentraleSupelec, Paris-Saclay University Andrea Alu, CUNY Advanced Science Research Center Emil Bjornson, Linköping University Kyle Jamieson, Princeton University Mark Rodwell, UCSB Sergei Tretyakov, Aalto University Moderators Yasaman Ghasempour, Princeton Harish Krishnaswamy, Columbia --- Join Zoom Meeting: [ https://rutgers.zoom.us/j/99267668463?pwd=V3lzdnNBSGJJV1QwOU5Lclp0MXZLUT09 | https://rutgers.zoom.us/j/99267668463?pwd=V3lzdnNBSGJJV1QwOU5Lclp0MXZLUT09 ] Join by SIP: 99267668463@zoomcrc.com Meeting ID: 992 6766 8463 Password: 857965 One tap mobile +13017158592,,99267668463# US (Washington D.C) +13126266799,,99267668463# US (Chicago) Join By Phone +1 301 715 8592 US (Washington D.C) +1 312 626 6799 US (Chicago) +1 646 558 8656 US (New York) +1 253 215 8782 US (Tacoma) +1 346 248 7799 US (Houston) +1 669 900 9128 US (San Jose) Meeting ID: 992 6766 8463
participants (1)
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Emily C. Lawrence