BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Canada/Eastern BEGIN:DAYLIGHT DTSTART:20220313T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20221106T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20220515T220158Z UID:640281F9-C643-44C1-9900-38F9294F3AC3 DTSTART;TZID=Canada/Eastern:20220512T100000 DTEND;TZID=Canada/Eastern:20220512T113000 DESCRIPTION:This event features four talks associated to four articles and the brief summary of each article are as follows:\n\n1. Next Generation Me ga Satellite Networks for Access Equality: Opportunities\, Challenges\, an d Performance Akram Hourani\, RMIT University\, Australia\n\nThe article p rovides guidelines for the systematic analysis of next generation LEO mega satellite constellations. The challenges that stem from the deployment of mega-constellations are noted\, and the opportunities that position LEO c onstellations as a promising solution to attaining global coverage are hig hlighted along with the target performance metrics.\n\n2. Ultra-Dense LEO Satellite-Based Communication Systems: A Novel Modeling Technique Mustafa A. Kishk\, Maynooth University\, Ireland\n\nThe challenges of dense LEO co nstellations in terms of cost and frequency coordination are addressed in this article. The authors highlight the strength of stochastic geometry (S G)-based modeling techniques to determine the system performance in a real istic manner. The major factors affecting latency and coverage probability using SG-based models are discussed\, and the impact of the number of sat ellites and the height of the constellation on performance is shown throug h numerical analysis. Envisioned future deployment scenarios are also deta iled along with their new challenges that need to be addressed by the rese arch community in the near future.\n\n3. Orbital Edge Offloading on Mega-L EO Satellite Constellations for Equal Access to Computing\, Fabio Patrone DITEN\, University of Genova\, Italy.\n\nThe functionality of the emerging mega-constellations is expected to extend beyond solely communication pur poses. The authors investigate the possibility of integration of the in-ne twork computing paradigm and feature the benefits of the presence of an or bital edge (OE) platform to exploit the fast and distributed computational capability of LEO constellations. The presented preliminary analysis demo nstrates the importance of task offloading strategies on overall performan ce. The potential of artificial intelligence is emphasized\, and the emerg ing challenges for future research directions are noted toward the evoluti on of space information networks.\n\n4. Ring Road Networks: Access for Any one Juan A. Fraire\, Universidad Nacional de Córdoba (UNC)\, Argentina\, and Saarland University\, Germany.\n\nAnother contribution deals with the concept of ring road networks (RRNs)\, which builds on the use of small af fordable LEO satellites as store-and-forward nodes to asynchronously recei ve\, carry\, and deliver data from and to places that lack Internet connec tivity. In this article\, the authors show how the main advantage of such a concept is that it can be implemented with delay-tolerant network (DTN) protocols so that even a single nano-satellite can provide (extremely high -latency) connectivity services worldwide. Clearly\, target beneficiaries are unconnected or isolated populations.\n\nMontreal\, Quebec\, Canada\, V irtual: https://events.vtools.ieee.org/m/312960 LOCATION:Montreal\, Quebec\, Canada\, Virtual: https://events.vtools.ieee.o rg/m/312960 ORGANIZER:m.naslcheraghi@gmail.com SEQUENCE:5 SUMMARY:Next Generation Mega Satellite Networks URL;VALUE=URI:https://events.vtools.ieee.org/m/312960 X-ALT-DESC:Description: <br /><p>This event features four talks associated to four articles and the brief summary of each article are as follows:</p> \n<p>&nbsp\;</p>\n<p><strong>1. Next Generation Mega Satellite Networks fo r Access Equality: Opportunities\, Challenges\, and Performance </strong>< strong>Akram Hourani\, RMIT University\, Australia&nbsp\;</strong></p>\n<p >The article provides guidelines for the systematic analysis of next gener ation LEO mega satellite constellations. The challenges that stem from the deployment of mega-constellations are noted\, and the opportunities that position LEO constellations as a promising solution to attaining global co verage are highlighted along with the target performance metrics.</p>\n<p> &nbsp\;</p>\n<p><strong>2. Ultra-Dense LEO Satellite-Based Communication S ystems: A Novel Modeling Technique </strong><strong>Mustafa A. Kishk\, May nooth University\, Ireland</strong></p>\n<p>The challenges of dense LEO co nstellations in terms of cost and frequency coordination are addressed in this article. The authors highlight the strength of stochastic geometry (S G)-based modeling techniques to determine the system performance in a real istic manner. The major factors affecting latency and coverage probability using SG-based models are discussed\, and the impact of the number of sat ellites and the height of the constellation on performance is shown throug h numerical analysis. Envisioned future deployment scenarios are also deta iled along with their new challenges that need to be addressed by the rese arch community in the near future.</p>\n<p>&nbsp\;</p>\n<p><strong>3. Orbi tal Edge Offloading on Mega-LEO Satellite Constellations for Equal Access to Computing\, </strong><strong>Fabio Patrone&nbsp\; DITEN\, University of Genova\, Italy.</strong></p>\n<p>The functionality of the emerging mega-c onstellations is expected to extend beyond solely communication purposes. The authors investigate the possibility of integration of the in-network c omputing paradigm and feature the benefits of the presence of an orbital e dge (OE) platform to exploit the fast and distributed computational capabi lity of LEO constellations. The presented preliminary analysis demonstrate s the importance of task offloading strategies on overall performance. The potential of artificial intelligence is emphasized\, and the emerging cha llenges for future research directions are noted toward the evolution of s pace information networks.</p>\n<p>&nbsp\;</p>\n<p><strong>&nbsp\;4. Ring Road Networks: Access for Anyone </strong><strong>Juan A. Fraire\, Univers idad Nacional de C&oacute\;rdoba (UNC)\, Argentina\, and Saarland Universi ty\, Germany.</strong></p>\n<p>Another contribution deals with the concept of ring road networks (RRNs)\, which builds on the use of small affordabl e LEO satellites as store-and-forward nodes to asynchronously receive\, ca rry\, and deliver data from and to places that lack Internet connectivity. In this article\, the authors show how the main advantage of such a conce pt is that it can be implemented with delay-tolerant network (DTN) protoco ls so that even a single nano-satellite can provide (extremely high-latenc y) connectivity services worldwide. Clearly\, target beneficiaries are unc onnected or isolated populations.</p> END:VEVENT END:VCALENDAR