BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Europe/Lisbon BEGIN:DAYLIGHT DTSTART:20250330T020000 TZOFFSETFROM:+0000 TZOFFSETTO:+0100 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:WEST END:DAYLIGHT BEGIN:STANDARD DTSTART:20241027T010000 TZOFFSETFROM:+0100 TZOFFSETTO:+0000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:WET END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20241114T191046Z UID:8843E015-55E6-4E74-A975-93772C313F89 DTSTART;TZID=Europe/Lisbon:20241114T093000 DTEND;TZID=Europe/Lisbon:20241114T110000 DESCRIPTION:In recent years\, the demand for machine learning (ML) services over wireless networks has driven the development of new communication pr otocols to support these services efficiently. ML services on wireless net works face challenges in computation\, bandwidth\, scalability\, privacy\, and security. One approach to address these issues is Over-the-air comput ation (OAC)\, a technique where wireless devices transmit values via analo g amplitude modulation. This allows a function of these values (e.g.\, Fed erated Learning gradient aggregation) to be computed at a common receiver through the communication channel itself. OAC significantly reduces commun ication energy use\, enhances spectrum efficiency by orders of magnitude\, and strengthens privacy protections. This is achieved by leveraging the s uperposition properties of electromagnetic waves\, which naturally sum ana log values. As a result\, OAC is mostly applied in analog communication sy stems. However\, using digital communication for OAC could offer advantage s like error correction\, synchronization\, channel state information acqu isition\, and easier integration with current digital communication system s. In this talk\, we introduce ChannelComp\, a new method enabling OAC thr ough digital modulation. We demonstrate that digital modulation allows for a broader class of computable functions compared to traditional OAC and p ropose an optimization problem to identify the optimal digital modulation for over-the-air computation. Simulation results highlight ChannelComp’s superior performance over OAC.\n\nCo-sponsored by: INSTITUTO DE TELECOMUN ICAÇÕES\n\nSpeaker(s): Carlo Fischione\n\nAgenda: \n09:30 Carlo Fischion e\, Analog and Digital Wireless Communications for Computations\n\nRoom: A nfiteatro\, Bldg: Instituto de Telecomunicações (Edificio 19 da Universi dade de Aveiro)\, Instituto de Telecomunicações\, Campus Universitário de Santiago\, Aveiro\, Centro\, Portugal\, 3810-1 LOCATION:Room: Anfiteatro\, Bldg: Instituto de Telecomunicações (Edificio 19 da Universidade de Aveiro)\, Instituto de Telecomunicações\, Campus Universitário de Santiago\, Aveiro\, Centro\, Portugal\, 3810-1 ORGANIZER:dcorujo@av.it.pt SEQUENCE:14 SUMMARY:Analog and Digital Wireless Communications for Computations URL;VALUE=URI:https://events.vtools.ieee.org/m/443472 X-ALT-DESC:Description: <br /><p>In recent years\, the demand for machine l earning (ML) services over wireless networks has driven the development of new communication protocols to support these services efficiently. ML ser vices on wireless networks face challenges in computation\, bandwidth\, sc alability\, privacy\, and security. One approach to address these issues i s Over-the-air computation (OAC)\, a technique where wireless devices tran smit values via analog amplitude modulation. This allows a function of the se values (e.g.\, Federated Learning gradient aggregation) to be computed at a common receiver through the communication channel itself. OAC signifi cantly reduces communication energy use\, enhances spectrum efficiency by orders of magnitude\, and strengthens privacy protections. This is achieve d by leveraging the superposition properties of electromagnetic waves\, wh ich naturally sum analog values. As a result\, OAC is mostly applied in an alog communication systems.&nbsp\;However\, using digital communication fo r OAC could offer advantages like error correction\, synchronization\, cha nnel state information acquisition\, and easier integration with current d igital communication systems. In this talk\, we introduce ChannelComp\, a new method enabling OAC through digital modulation. We demonstrate that di gital modulation allows for a broader class of computable functions compar ed to traditional OAC and propose an optimization problem to identify the optimal digital modulation for over-the-air computation. Simulation result s highlight ChannelComp&rsquo\;s superior performance over OAC.</p><br />< br />Agenda: <br /><p><span style="font-size: 11.0pt\; font-family: 'Aptos '\,sans-serif\; mso-ascii-theme-font: minor-latin\; mso-fareast-font-famil y: 'Times New Roman'\; mso-hansi-theme-font: minor-latin\; mso-bidi-font-f amily: Aptos\; mso-bidi-theme-font: minor-latin\; mso-font-kerning: 0pt\; mso-ligatures: none\; mso-ansi-language: #1000\; mso-fareast-language: EN- GB\; mso-bidi-language: AR-SA\;">09:30 Carlo Fischione\, Analog and Digita l Wireless Communications for Computations</span></p> END:VEVENT END:VCALENDAR