BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Europe/Zurich BEGIN:DAYLIGHT DTSTART:20220327T030000 TZOFFSETFROM:+0100 TZOFFSETTO:+0200 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:CEST END:DAYLIGHT BEGIN:STANDARD DTSTART:20221030T020000 TZOFFSETFROM:+0200 TZOFFSETTO:+0100 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:CET END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20221021T074417Z UID:4B175FB2-5C13-47A0-94A0-00B13BF5939F DTSTART;TZID=Europe/Zurich:20221018T111500 DTEND;TZID=Europe/Zurich:20221018T121500 DESCRIPTION:Title:\n\nWireless Communication System Design for the Internet of Things: Algorithms\, Architectures\, and Testbeds\n\nSpeaker:\n\nProf. Joseph R. Cavallaro\n\nCenter for Multimedia Communication\, Dept. of Ele ctrical and Computer Engineering\, Rice University\, Houston\, TX\n\nAbstr act:\n\nWireless communication system concepts for beyond 5G towards 6G in clude a variety of advanced physical layer algorithms to provide high data rates and increased efficiency for emerging Smart City and Internet of Th ings devices. In this talk\, I will provide updates on our recent work in this area. Wireless algorithms provide different challenges for real-time performance based on the tradeoffs between computation\, communication\, I /O bottlenecks and area\, time\, and power complexity. Large scale or Mass ive MIMO systems can provide many benefits for both uplink detection and d ownlink beamforming as the number of base station antennas increase. Simil arly for error protection\, channel coding\, such as LDPC\, can support hi gh data rates in many channel conditions. At the radio frequency level\, a vailable spectrum limitations lead to digital pre-distortion (DPD) to impr ove power amplifier efficiency and transmission range while reducing out o f band interference. These physical layer algorithms impose complex system organization challenges in the interconnection of many RF transceivers wi th multiple memory and computation units with various data rates within th e system. Parallel numerical methods can be applied to tradeoff computatio nal complexity with minimal effect on error rate performance. In this talk \, we will focus on design tools for high level synthesis (HLS) to capture and express parallelism in wireless communication algorithms. HLS can be applied to FPGA and ASIC synthesis\, however\, there exist tradeoffs in th e area required with flexibility and reuse of designs. This also includes the mapping to GPU and multicore systems for high-speed simulation and pot ential virtual radio access networks. There is current interest in the sel ective use of neural networks and machine learning in communication system s. This talk will include a discussion of computation testbeds and our 3DM L project for Data\, Design and Deployed Validation of machine learning fo r wireless applications. The Rice WARP and Argos prototype massive MIMO ra dio testbeds enable over-the-air evaluation of these physical layer algori thms and architectures. The talk will conclude with an update on the Natio nal Science Foundation Platforms for Advanced Wireless Research (PAWR) col laboration between universities and industry and the Utah-Rice POWDER-RENE W testbed.\n\nCo-sponsored by: Prof. Christoph Studer\n\nSpeaker(s): Prof. Joseph Cavallaro\, \n\nRoom: H37.1\, Bldg: Gebäude ML\, Sonneggstrasse 3 \, Zurich\, Switzerland\, Switzerland\, 8092\, Virtual: https://events.vto ols.ieee.org/m/326713 LOCATION:Room: H37.1\, Bldg: Gebäude ML\, Sonneggstrasse 3\, Zurich\, Swit zerland\, Switzerland\, 8092\, Virtual: https://events.vtools.ieee.org/m/3 26713 ORGANIZER:shih@ini.uzh.ch SEQUENCE:7 SUMMARY:IEEE Swiss CAS/ED Sponsored Lecture by Dr. Joseph Cavallaro URL;VALUE=URI:https://events.vtools.ieee.org/m/326713 X-ALT-DESC:Description: <br /><h3>Title:</h3>\n<p dir="auto">Wireless Commu nication System Design for the Internet of Things: Algorithms\, Architectu res\, and Testbeds</p>\n<h3>Speaker:</h3>\n<p dir="auto">Prof. Joseph R. C avallaro</p>\n<p dir="auto">Center for Multimedia Communication\, Dept. of Electrical and Computer Engineering\, Rice University\, Houston\, TX</p>\ n<h3>Abstract:</h3>\n<p dir="auto">Wireless communication system concepts for beyond 5G towards 6G include a variety of advanced physical layer algo rithms to provide high data rates and increased efficiency for emerging Sm art City and Internet of Things devices. In this talk\, I will provide upd ates on our recent work in this area. Wireless algorithms provide differen t challenges for real-time performance based on the tradeoffs between comp utation\, communication\, I/O bottlenecks and area\, time\, and power comp lexity. Large scale or Massive MIMO systems can provide many benefits for both uplink detection and downlink beamforming as the number of base stati on antennas increase. Similarly for error protection\, channel coding\, su ch as LDPC\, can support high data rates in many channel conditions. At th e radio frequency level\, available spectrum limitations lead to digital p re-distortion (DPD) to improve power amplifier efficiency and transmission range while reducing out of band interference. These physical layer algor ithms impose complex system organization challenges in the interconnection of many RF transceivers with multiple memory and computation units with v arious data rates within the system. Parallel numerical methods can be app lied to tradeoff computational complexity with minimal effect on error rat e performance. In this talk\, we will focus on design tools for high level synthesis (HLS) to capture and express parallelism in wireless communicat ion algorithms. HLS can be applied to FPGA and ASIC synthesis\, however\, there exist tradeoffs in the area required with flexibility and reuse of d esigns. This also includes the mapping to GPU and multicore systems for hi gh-speed simulation and potential virtual radio access networks. There is current interest in the selective use of neural networks and machine learn ing in communication systems. This talk will include a discussion of compu tation testbeds and our 3DML project for Data\, Design and Deployed Valida tion of machine learning for wireless applications. The Rice WARP and Argo s prototype massive MIMO radio testbeds enable over-the-air evaluation of these physical layer algorithms and architectures. The talk will conclude with an update on the National Science Foundation Platforms for Advanced W ireless Research (PAWR) collaboration between universities and industry an d the Utah-Rice POWDER-RENEW testbed.</p> END:VEVENT END:VCALENDAR