BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT DTSTART:20180311T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20181104T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20180515T020816Z UID:4E08EB27-4C8E-494C-A3C7-68B805A5FE68 DTSTART;TZID=America/New_York:20180516T140000 DTEND;TZID=America/New_York:20180516T150000 DESCRIPTION:-------------------------------------------------------------\n \nCARLETON WIRELESS SEMINAR SERIES\n\nWednesday\, May 16\, 2:00 pm\n\nCarl eton University\, 4359 ME (Mackenzie Building)\, https://carleton.ca/campu s/map/\n\nOPTIMAL ALTITUDE FOR UAV DATA COLLECTION OVER NOMA BACKSCATTER N ETWORKS\n\nAmin Farajzadeh\n\nMSc Student\, Sabanci University\, Turkey (S upervisor: Professor Ozgur Ercetin) Visiting Researcher\, Carleton Univers ity\n\nABSTRACT: The recent evolution of ambient backscattering technology has the potential to provide long-range and low power wireless communicat ions. In this work\, we study the Unmanned Aerial Vehicle (UAV)-assisted b ackscatter networks where the UAV acts both as a mobile power transmitter and as an information receiver. We aim to maximize the number of successfu lly decoded bits while minimizing the UAV’s flight time by optimizing it s altitude. Power-domain NOMA scheme is employed in the uplink. An optimiz ation framework is presented to identify the trade-off between numerous Ne twork parameters\, such as UAV’s altitude\, number of ground devices\, a nd backscatter coefficients. Numerical results show that the optimal altit ude is achievable for various network setups and impact of backscattering reflection coefficients on the maximum network throughput is significant.\ n\n-------------------------------------------------------------\n\nCo-spo nsored by: Halim Yanikomeroglu\n\nRoom: 4359 ME\, Bldg: Mackenzie Building \, Carleton University\, Ottawa\, Ontario\, Canada LOCATION:Room: 4359 ME\, Bldg: Mackenzie Building\, Carleton University\, O ttawa\, Ontario\, Canada ORGANIZER:richard.yu@carleton.ca SEQUENCE:0 SUMMARY:OPTIMAL ALTITUDE FOR UAV DATA COLLECTION OVER NOMA BACKSCATTER NETW ORKS URL;VALUE=URI:https://events.vtools.ieee.org/m/172964 X-ALT-DESC:Description: <br /><p>------------------------------------------ -------------------</p>\n<p>CARLETON WIRELESS SEMINAR SERIES</p>\n<p>&nbsp \;</p>\n<p>Wednesday\, May 16\, 2:00 pm</p>\n<p>Carleton University\, 4359 ME (Mackenzie Building)\, <a href="https://carleton.ca/campus/map/">https ://carleton.ca/campus/map/</a></p>\n<p>&nbsp\;</p>\n<p>&nbsp\;</p>\n<p>OPT IMAL ALTITUDE FOR UAV DATA COLLECTION OVER NOMA BACKSCATTER NETWORKS</p>\n <p>&nbsp\;</p>\n<p>Amin Farajzadeh</p>\n<p>MSc Student\, Sabanci Universit y\, Turkey (Supervisor: Professor Ozgur Ercetin) Visiting Researcher\, Car leton University</p>\n<p>&nbsp\;</p>\n<p>&nbsp\;</p>\n<p>ABSTRACT: The rec ent evolution of ambient backscattering technology has the potential to pr ovide long-range and low power wireless communications. In this work\, we study the Unmanned Aerial Vehicle (UAV)-assisted backscatter networks wher e the UAV acts both as a mobile power transmitter and as an information re ceiver. We aim to maximize the number of successfully decoded bits while m inimizing the UAV&rsquo\;s flight time by optimizing its altitude. Power-d omain NOMA scheme is employed in the uplink. An optimization framework is presented to identify the trade-off between numerous Network parameters\, such as UAV&rsquo\;s altitude\, number of ground devices\, and backscatter coefficients. Numerical results show that the optimal altitude is achieva ble for various network setups and impact of backscattering reflection coe fficients on the maximum network throughput is significant.</p>\n<p>&nbsp\ ;</p>\n<p>-------------------------------------------------------------</p >\n<p>&nbsp\;</p> END:VEVENT END:VCALENDAR