BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Los_Angeles BEGIN:DAYLIGHT DTSTART:20250309T030000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:PDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20251102T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:PST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20250720T011418Z UID:D1A80519-1861-4221-9B7F-BFAEC7757709 DTSTART;TZID=America/Los_Angeles:20250716T173000 DTEND;TZID=America/Los_Angeles:20250716T190000 DESCRIPTION:Abstract: Providing “connectivity from the sky” is one new innovative trend in wireless communications for beyond 5G or coming 6G com munication systems. Satellites\, high and low altitude platforms\, drones\ , aircrafts\, and airships are being considered as candidates for deployin g wireless communications complementing the terrestrial communication infr astructure. Utilizing modern information network technologies and intercon necting space\, air\, and ground network segments\, the aerial access netw ork (AAN) has attracted many attentions from both academia and industry\, which has been recognized as a potential solution for the 6G systems. AANs are subject to heterogeneous networks that are engineered to utilize sate llites\, high-altitude platforms (HAPs)\, and low-altitude platforms (LAPs ) to build network access platforms. Compared to terrestrial wireless netw orks\, AANs are characterized by frequently changed network topologies and more vulnerable communication connections. Furthermore\, AANs have the de mand for the seamless integration of heterogeneous networks such that the network quality-of-service (QoS) can be improved. Thus\, designing mechani sms and protocols for AANs poses many challenges. To solve these challenge s\, extensive research has been conducted. Notice that AANs are not intend ed to replace the above existing technologies\, but instead to work with t hem in a complementary and integrated fashion. However\, design\, analysis \, and optimization of AANs require multidisciplinary knowledge\, namely\, knowledge of wireless communications and networking\, signal processing\, artificial intelligence (e.g.\, for learning)\, decision theory\, optimiz ation\, and economic theory. Therefore\, this talk first provides a genera l introduction to AANs integrated networks based on physical\, MAC\, and n etworking layer requirements\, followed by some state-of-the-art of AANs a long with possible applications.\n\nBio:\n\nZhu Han received the B.S. degr ee in electronic engineering from Tsinghua University\, in 1997\, and the M.S. and Ph.D. degrees in electrical and computer engineering from the Uni versity of Maryland\, College Park\, in 1999 and 2003\, respectively. From 2000 to 2002\, he was an R&D Engineer of JDSU\, Germantown\, Maryland. Fr om 2003 to 2006\, he was a Research Associate at the University of Marylan d. From 2006 to 2008\, he was an assistant professor at Boise State Univer sity\, Idaho. Currently\, he is a John and Rebecca Moores Professor in the Electrical and Computer Engineering Department as well as the Computer Sc ience Department at the University of Houston\, Texas. Dr. Han is an NSF C AREER award recipient of 2010\, and the winner of the 2021 IEEE Kiyo Tomiy asu Award. He has been an IEEE fellow since 2014\, an AAAS fellow since 20 20\, ACM Fellow since 2024\, an IEEE Distinguished Lecturer from 2015 to 2 018\, and an ACM Distinguished Speaker from 2022-2025. Dr. Han is also a 1 % highly cited researcher since 2017.\n\nAgenda: \n5:35PM-6:30PM: Presenta tion\n\n6:30PM-7:00PM: Q&A\n\nVirtual: https://events.vtools.ieee.org/m/49 1536 LOCATION:Virtual: https://events.vtools.ieee.org/m/491536 ORGANIZER:maliangp@yahoo.com SEQUENCE:30 SUMMARY:Aerial Access Networks for 6G: From UAV\, HAP\, to Satellite Commun ication Networks URL;VALUE=URI:https://events.vtools.ieee.org/m/491536 X-ALT-DESC:Description: <br /><p><strong>Abstract:</strong> &nbsp\;<span st yle="font-size: 11.0pt\; line-height: 115%\; font-family: 'Calibri'\,sans- serif\; mso-ascii-theme-font: minor-latin\; mso-fareast-font-family: Calib ri\; mso-fareast-theme-font: minor-latin\; mso-hansi-theme-font: minor-lat in\; mso-bidi-font-family: 'Times New Roman'\; mso-bidi-theme-font: minor- bidi\; color: black\; mso-ansi-language: EN-US\; mso-fareast-language: EN- US\; mso-bidi-language: AR-SA\;">Providing &ldquo\;connectivity from the s ky&rdquo\; is one new innovative trend in wireless communications for beyo nd 5G or coming 6G communication systems. Satellites\, high and low altitu de platforms\, drones\, aircrafts\, and airships are being considered as c andidates for deploying wireless communications complementing the terrestr ial communication infrastructure. Utilizing modern information network tec hnologies and interconnecting space\, air\, and ground network segments\, the aerial access network (AAN) has attracted many attentions from both ac ademia and industry\, which has been recognized as a potential solution fo r the 6G systems. AANs are subject to heterogeneous networks that are engi neered to utilize satellites\, high-altitude platforms (HAPs)\, and low-al titude platforms (LAPs) to build network access platforms. Compared to ter restrial wireless networks\, AANs are characterized by frequently changed network topologies and more vulnerable communication connections. Furtherm ore\, AANs have the demand for the seamless integration of heterogeneous n etworks such that the network quality-of-service (QoS) can be improved. Th us\, designing mechanisms and protocols for AANs poses many challenges. To solve these challenges\, extensive research has been conducted. Notice th at AANs are not intended to replace the above existing technologies\, but instead to work with them in a complementary and integrated fashion. Howev er\, design\, analysis\, and optimization of AANs require multidisciplinar y knowledge\, namely\, knowledge of wireless communications and networking \, signal processing\, artificial intelligence (e.g.\, for learning)\, dec ision theory\, optimization\, and economic theory. Therefore\, this talk f irst provides a general introduction to AANs integrated networks based on physical\, MAC\, and networking layer requirements\, followed by some stat e-of-the-art of AANs along with possible applications</span>.</p>\n<p><str ong><img src="https://events.vtools.ieee.org/vtools_ui/media/display/d7591 a43-98e3-4ab0-a4d6-5a08924ae6e8"></strong></p>\n<p><strong>Bio: </strong>< /p>\n<p style="text-align: justify\; line-height: 115%\; background: white \;"><span style="font-family: 'Calibri'\,sans-serif\; color: black\; backg round: white\; mso-fareast-language: ZH-CN\;">Zhu Han received the B.S. de gree in electronic engineering from Tsinghua University\, in 1997\, and th e M.S. and Ph.D. degrees in electrical and computer engineering from the U niversity of Maryland\, College Park\, in 1999 and 2003\, respectively. Fr om 2000 to 2002\, he was an R&amp\;D Engineer of JDSU\, Germantown\, Maryl and. From 2003 to 2006\, he was a Research Associate at the University of Maryland. From 2006 to 2008\, he was an assistant professor at Boise State University\, Idaho. Currently\, he is a John and Rebecca Moores Professor in the Electrical and Computer Engineering Department as well as the Comp uter Science Department at the University of Houston\, Texas. Dr. Han is a n NSF CAREER award recipient of 2010\, and the winner of the 2021 IEEE Kiy o Tomiyasu Award. He has been an IEEE fellow since 2014\, an AAAS fellow s ince 2020\, ACM Fellow since 2024\, an IEEE Distinguished Lecturer from 20 15 to 2018\, and an ACM Distinguished Speaker from 2022-2025. Dr. Han is a lso a 1% highly cited researcher since 2017.</span></p><br /><br />Agenda: <br /><p>5:35PM-6:30PM: Presentation</p>\n<p>6:30PM-7:00PM: Q&amp\;A</p>\ n<p>&nbsp\;</p> END:VEVENT END:VCALENDAR