BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:US/Eastern BEGIN:DAYLIGHT DTSTART:20210314T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20211107T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20220316T005634Z UID:D3F452F1-B3DA-4289-B46A-3E681E0743EF DTSTART;TZID=US/Eastern:20210610T190000 DTEND;TZID=US/Eastern:20210610T203000 DESCRIPTION:Vehicle to vehicle and Vehicle to ground communications - relia bility aspects and networking.\n\nPhysical Layer Reliability Consideration s for Air-Ground and Air-Air Networking\n\nA Distinguished Lecture by Prof essor David Matolak\n\nOn a typical day\, over 100\,000 aircraft take flig ht across the world. The US Federal Aviation Administration (FAA) predicts over 500\,000 registered UAVs (or\, “drones”) in 2021\, and continued growth is expected. Air traffic management (ATM) is the set of processes and procedures for coordinating all these flights safely and efficiently\, and this will become more challenging as air traffic density increases\, especially for small and low-flying UAVs. Since effective ATM requires hig hly reliable communications\, researchers across the world are actively in vestigating new aviation communications for air-ground (AG) and air-air (A A) links\, for command and control (C2) as well as for unique UAV applicat ions. In the USA\, NASA’s Aeronautics Research Mission Directorate has s everal programs for integrating new aircraft and UAVs into the National Ai rspace System\, and is now investigating advanced air mobility (AAM)\, whi ch will include cargo and passenger flights near and within urban areas. N umerous companies\, including Uber\, Google\, Facebook\, and Amazon\, alon g with wireless companies such as Qualcomm and Nokia—for 5G and beyond s ervices—are also investigating UAV use. Naturally\, traditional aircraft developers such as Boeing and Airbus are also conducting research on UAVs and advanced ATM as well. One 5G service type—ultra-reliable low latenc y communications (URLLC)—may be of particular interest for advanced air mobility (AAM) and UAV C2 links. In this talk we address high reliability communication for UAVs\, focusing primarily on the physical layer. We begi n with a short introduction of UAVs\, AAM\, and AA/AG communications\, a f ew high-profile programs\, and a brief description of some UAV communicati on requirements. From there we address the challenges of a potentially rap idly time-varying and distorting wireless channel that includes multipath components as well as obstructions\, and interference\, both unintentional and intentional. Included in the presentation are some example AG channel results from a NASA measurement campaign\, comments on and results for th e modeling of such channels\, some recent analytical results for the AA ch annel\, and example results for dynamic statistical channel characteristic s such as spatial correlation and statistical stationarity distance. Some remarks on future work for reliable AG/AA networking conclude the presenta tion.\n\nSpeaker(s): David Matolak\, \n\nAgenda: \nJune 10 2021\n\n6.45pm -- host and speaker login\, checks\n\n6.55pm -- Introducing the speaker\n\ n7.00pm - 8.00 pm Distinguished talk\n\n8.00-8.15pm Q & A\n\nVirtual: http s://events.vtools.ieee.org/m/273182 LOCATION:Virtual: https://events.vtools.ieee.org/m/273182 ORGANIZER:Raghunandan@ieee.org SEQUENCE:10 SUMMARY:Distinguished talk by Prof. David Matolak on - Physical-Layer Relia bility for Air-Ground and Air-Air Networking URL;VALUE=URI:https://events.vtools.ieee.org/m/273182 X-ALT-DESC:Description: <br /><p>Vehicle to vehicle and Vehicle to ground c ommunications - reliability aspects and networking.</p>\n<p><strong>Physic al Layer Reliability Considerations for Air-Ground and Air-Air Networking </strong></p>\n<p><em><strong>A Distinguished Lecture by Professor David M atolak</strong></em></p>\n<p>On a typical day\, over 100\,000 aircraft tak e flight across the world. The US Federal Aviation Administration (FAA) pr edicts over 500\,000 registered UAVs (or\, &ldquo\;drones&rdquo\;) in 2021 \, and continued growth is expected. Air traffic management (ATM) is the s et of processes and procedures for coordinating all these flights safely a nd efficiently\, and this will become more challenging as air traffic dens ity increases\, especially for small and low-flying UAVs. Since effective ATM requires highly reliable communications\, researchers across the world are actively investigating new aviation communications for air-ground (AG ) and air-air (AA) links\, for command and control (C2) as well as for uni que UAV applications. In the USA\, NASA&rsquo\;s Aeronautics Research Miss ion Directorate has several programs for integrating new aircraft and UAVs into the National Airspace System\, and is now investigating advanced air mobility (AAM)\, which will include cargo and passenger flights near and within urban areas. Numerous companies\, including Uber\, Google\, Faceboo k\, and Amazon\, along with wireless companies such as Qualcomm and Nokia& mdash\;for 5G and beyond services&mdash\;are also investigating UAV use. N aturally\, traditional aircraft developers such as Boeing and Airbus are a lso conducting research on UAVs and advanced ATM as well. One 5G service t ype&mdash\;ultra-reliable low latency communications (URLLC)&mdash\;may be of particular interest for advanced air mobility (AAM) and UAV C2 links. In this talk we address high reliability communication for UAVs\, focusing primarily on the physical layer. We begin with a short introduction of UA Vs\, AAM\, and AA/AG communications\, a few high-profile programs\, and a brief description of some UAV communication requirements. From there we ad dress the challenges of a potentially rapidly time-varying and distorting wireless channel that includes multipath components as well as obstruction s\, and interference\, both unintentional and intentional. Included in the presentation are some example AG channel results from a NASA measurement campaign\, comments on and results for the modeling of such channels\, som e recent analytical results for the AA channel\, and example results for d ynamic statistical channel characteristics such as spatial correlation and statistical stationarity distance. Some remarks on future work for reliab le AG/AA networking conclude the presentation.</p><br /><br />Agenda: <br /><p>June 10 2021</p>\n<p>6.45pm -- host and speaker login\, checks</p>\n< p>6.55pm -- Introducing the speaker</p>\n<p>7.00pm - 8.00 pm Distinguished talk</p>\n<p>8.00-8.15pm Q &amp\; A</p> END:VEVENT END:VCALENDAR