BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York 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:20220721T171832Z UID:A00697E0-01A5-4A56-8D53-EE09D417AD9F DTSTART;TZID=America/New_York:20220721T090000 DTEND;TZID=America/New_York:20220721T113000 DESCRIPTION:This talk considers the joint channel estimation and device act ivity detection in the grant-free random access systems\, where a large nu mber of Internet-of-Things devices intend to communicate with a low-earth orbit satellite in a sporadic way. In addition\, the massive multiple-inpu t multiple-output (MIMO) with orthogonal time-frequency space (OTFS) modul ation is adopted to combat the dynamics of the terrestrial-satellite link. We first analyze the input-output relationship of the single-input single -output OTFS when the large delay and Doppler shift both exist\, and then extend it to the grant-free random access with massive MIMO-OTFS. Next\, b y exploring the sparsity of channel in the delay-Doppler-angle domain\, a two-dimensional pattern coupled hierarchical prior with the sparse Bayesia n learning and covariance-free method (TDSBL-FM) is developed for the chan nel estimation. Then\, the active devices are detected by computing the en ergy of the estimated channel. Finally\, the generalized approximate messa ge passing algorithm combined with the sparse Bayesian learning and two-di mensional convolution (ConvSBL-GAMP) is proposed to decrease the computati ons of the TDSBL-FM algorithm. Simulation results demonstrate that the pro posed algorithms outperform conventional methods.\n\n--------------------- ----------------------------------\n\n9:00 am - 09:05 am Welcome Speech by Prof. Halim Yanikomeroglu\n\n-------------------------------------------- -----------\n\n9:05 am - 10:05 am First Talk by Prof. Yongpeng Wu\n\nTitle : Random Access with Massive MIMO-OTFS in LEO Satellite Communications\n\n Abstract: This talk considers the joint channel estimation and device acti vity detection in the grant-free random access systems\, where a large num ber of Internet-of-Things devices intend to communicate with a low-earth o rbit satellite in a sporadic way. In addition\, the massive multiple-input multiple-output (MIMO) with orthogonal time-frequency space (OTFS) modula tion is adopted to combat the dynamics of the terrestrial-satellite link. We first analyze the input-output relationship of the single-input single- output OTFS when the large delay and Doppler shift both exist\, and then e xtend it to the grant-free random access with massive MIMO-OTFS. Next\, by exploring the sparsity of channel in the delay-Doppler-angle domain\, a t wo-dimensional pattern coupled hierarchical prior with the sparse Bayesian learning and covariance-free method (TDSBL-FM) is developed for the chann el estimation. Then\, the active devices are detected by computing the ene rgy of the estimated channel. Finally\, the generalized approximate messag e passing algorithm combined with the sparse Bayesian learning and two-dim ensional convolution (ConvSBL-GAMP) is proposed to decrease the computatio ns of the TDSBL-FM algorithm. Simulation results demonstrate that the prop osed algorithms outperform conventional methods.\n\n---------------------- ---------------------------------\n\n10:05 am - 11:05 am Second Talk by Dr . Pu Yuan\n\nTitle: Orthogonal Time Frequency Space from the System Design Perspective\n\nAbstract: This talk considers the design issues of OTFS in future communication systems. We first brief the principle of OTFS wavefo rm\, following with the performance gain analysis. Then from the system de sign perspective\, we introduce the consideration of co-existence of OTFS and OFDM\, low PAPR pilot signal design\, and MIMO precoding in OTFS. At l ast\, we will discuss the impact of channel model on the performance of OT FS and show some preliminary results of the OTFS prototypes.\n\nSpeaker(s) : Yongpeng Wu\, Pu Yuan \n\nAgenda: \n9:00 am - 10:05 am Welcome Speech by Prof. Halim Yanikomeroglu\n\n9:05 am - 10:05 am First Talk by Prof. Yongp eng Wu\n\n10:05 am - 11:05 am Second Talk by Dr. Pu Yuan\n\nVirtual: https ://events.vtools.ieee.org/m/319519 LOCATION:Virtual: https://events.vtools.ieee.org/m/319519 ORGANIZER:m.naslcheraghi@gmail.com SEQUENCE:20 SUMMARY:OTFS-enabled Satellite Communications (Week 1) URL;VALUE=URI:https://events.vtools.ieee.org/m/319519 X-ALT-DESC:Description: <br /><p>This talk considers the joint channel esti mation and device activity detection in the grant-free random access syste ms\, where a large number of Internet-of-Things devices intend to communic ate with a low-earth orbit satellite in a sporadic way. In addition\, the massive multiple-input multiple-output (MIMO) with orthogonal time-frequen cy space (OTFS) modulation is adopted to combat the dynamics of the terres trial-satellite link. We first analyze the input-output relationship of th e single-input single-output OTFS when the large delay and Doppler shift b oth exist\, and then extend it to the grant-free random access with massiv e MIMO-OTFS. Next\, by exploring the sparsity of channel in the delay-Dopp ler-angle domain\, a two-dimensional pattern coupled hierarchical prior wi th the sparse Bayesian learning and covariance-free method (TDSBL-FM) is d eveloped for the channel estimation. Then\, the active devices are detecte d by computing the energy of the estimated channel. Finally\, the generali zed approximate message passing algorithm combined with the sparse Bayesia n learning and two-dimensional convolution (ConvSBL-GAMP) is proposed to d ecrease the computations of the TDSBL-FM algorithm. Simulation results dem onstrate that the proposed algorithms outperform conventional methods.</p> \n<p>-------------------------------------------------------</p>\n<p>&nbsp \;</p>\n<p><strong>9:00 am - 09:05 am Welcome Speech by Prof. Halim Yaniko meroglu</strong></p>\n<p><strong>----------------------------------------- --------------</strong></p>\n<p>&nbsp\;</p>\n<p><strong>9:05 am - 10:05 am First Talk by Prof. Yongpeng Wu</strong></p>\n<p><strong>Title: &nbsp\; < /strong><u>Random Access with Massive MIMO-OTFS in LEO Satellite Communica tions</u></p>\n<p><strong>Abstract:</strong> This talk considers the joint channel estimation and device activity detection in the grant-free random access systems\, where a large number of Internet-of-Things devices inten d to communicate with a low-earth orbit satellite in a sporadic way. In ad dition\, the massive multiple-input multiple-output (MIMO) with orthogonal time-frequency space (OTFS) modulation is adopted to combat the dynamics of the terrestrial-satellite link. We first analyze the input-output relat ionship of the single-input single-output OTFS when the large delay and Do ppler shift both exist\, and then extend it to the grant-free random acces s with massive MIMO-OTFS. Next\, by exploring the sparsity of channel in t he delay-Doppler-angle domain\, a two-dimensional pattern coupled hierarch ical prior with the sparse Bayesian learning and covariance-free method (T DSBL-FM) is developed for the channel estimation. Then\, the active device s are detected by computing the energy of the estimated channel. Finally\, the generalized approximate message passing algorithm combined with the s parse Bayesian learning and two-dimensional convolution (ConvSBL-GAMP) is proposed to decrease the computations of the TDSBL-FM algorithm. Simulatio n results demonstrate that the proposed algorithms outperform conventional methods.</p>\n<p>&nbsp\;</p>\n<p>---------------------------------------- ---------------</p>\n<p><strong>10:05 am - 11:05 am Second Talk by Dr. Pu Yuan</strong></p>\n<p><strong>Title:</strong> <u>Orthogonal Time Frequency Space from the System Design Perspective</u></p>\n<p><strong>Abstract:</s trong> This talk considers the design issues of OTFS in future communicati on systems. We first brief the principle of OTFS waveform\, following with the performance gain analysis. Then from the system design perspective\, we introduce the consideration of co-existence of OTFS and OFDM\, low PAPR pilot signal design\, and MIMO precoding in OTFS. At last\, we will discu ss the impact of channel model on the performance of OTFS and show some pr eliminary results of the OTFS prototypes.</p>\n<p>&nbsp\;</p><br /><br />A genda: <br /><p><strong><span style="color: #3598db\;">9:00 am - 10:05 am< /span> Welcome Speech by Prof. Halim Yanikomeroglu</strong></p>\n<p><stron g><span style="color: #3598db\;">9:05 am - 10:05 am</span> First Talk by P rof. Yongpeng Wu</strong></p>\n<p><strong><span style="color: #3598db\;">1 0:05 am - 11:05 am</span> Second Talk by Dr. Pu Yuan</strong></p> END:VEVENT END:VCALENDAR