BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT DTSTART:20240310T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20241103T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20240805T151228Z UID:3B9267A6-75BD-44A3-9708-FC49D5BD15AD DTSTART;TZID=America/New_York:20240723T133000 DTEND;TZID=America/New_York:20240723T143000 DESCRIPTION:Title: Intent-Based Management for Next-Generation Networks: an LLM-centric Approach\n\nIntent-based networking (IBN) is crucial in enabl ing autonomous networks by specifying goals and constraints at a higher le vel to the Network Management System. TMForum has specified a dedicated ar chitecture and model that rely on Intents to handle and manage communicati on services\, paving the way for autonomous systems towards 6G. Intents th at represent an abstracted operational goal specified by the communication service owner\, which is usually provided as input to the Network Managem ent System (NMS). The latter\, in turn\, generates the necessary low-level configurations to fulfill these Intents. The current model of expressing Intents still requires significant effort in writing JSON and YAML structu res\, demanding a detailed comprehension of the format and model specified by the Northbound Interface (NBI). This process is sometimes not straight forward\, and adhering to the structure of these NBIs takes time. A natura l evolution for IBN is to move beyond human-readable languages and transit ion towards natural language. In this talk\, we will discuss the evolution of Intents in 6G relaying Large Language Model (LLM) that translates huma n language into operational intents to deploy communication systems\, leve raging few-shot learning and human-in-the-loop Feedback.\n\nBIOGRAPHY\n\n[ ]Adlen Ksentini is a professor in the Communication Systems Department of EURECOM. He is leading the Network softwarization group activities related to Network softwarization\, 5G/6G\, and Edge Computing. Adlen Ksentini's research interests are Network Sofwerization and Network Cloudification\, focusing on topics related to network virtualization\, Software Defined Ne tworking (SDN)\, and Edge Computing for 5G and 6G networks. He has been pa rticipating to several H2020 and Horizon Europe projects on 5G and beyond\ , such as 5G!Pagoda\, 5GTransformer\, 5G!Drones\, MonB5G\, ImagineB5G\, 6G Bricks\, 6G-Intense\, Sunrise-6G and AC3.\nHe is the technical manager of 6G-Intense and AC3\, on zero-touch management of 6G resources and applicat ions\, and Cloud Edge Continuum\, respectively. He is interested in the sy stem and architectural issues but also in algorithm problems related to th ose topics\, using Markov Chains\, Optimization algorithms\, and Machine L earning (ML). Adlen Ksentini has given several tutorials in IEEE internati onal conferences\, IEEE Globecom 2015\, IEEEE CCNC 2017/2018/2023\, IEEE I CC 2017\, IEEE/IFIP IM 2017\, IEEE School 2019. Adlen Ksentini is a member of the OAI board of directors\, where he is in charge of OAI 5G Core Netw ork and ORAN management (O1\, E2) for OAI RAN activities.\n\nSpeaker(s): A dlen\, \n\nVirtual: https://events.vtools.ieee.org/m/427766 LOCATION:Virtual: https://events.vtools.ieee.org/m/427766 ORGANIZER:messaoud.ahmed.ouameur@uqtr.ca SEQUENCE:32 SUMMARY:Intent-Based Management for Next-Generation Networks: an LLM-centri c Approach URL;VALUE=URI:https://events.vtools.ieee.org/m/427766 X-ALT-DESC:Description: <br /><p class="MsoNormal" style="text-align: justi fy\;"><strong><span lang="EN-US" style="mso-ansi-language: EN-US\;">Title: Intent-Based Management for Next-Generation Networks: an LLM-centric Appr oach</span></strong></p>\n<p class="MsoNormal"><span lang="EN-US" style="m so-ansi-language: EN-US\;">Intent-based networking (IBN) is crucial in ena bling autonomous networks by specifying goals and constraints at a higher level to the Network Management System. TMForum has specified a dedicated architecture and model that rely on Intents to handle and manage communica tion services\, paving the way for autonomous systems towards 6G. Intents that represent an abstracted operational goal specified by the communicati on service owner\, which is usually provided as input to the Network Manag ement System (NMS). The latter\, in turn\, generates the necessary low-lev el configurations to fulfill these Intents. The current model of expressin g Intents still requires significant effort in writing JSON and YAML struc tures\, demanding a detailed comprehension of the format and model specifi ed by the Northbound Interface (NBI). This process is sometimes not straig htforward\, and adhering to the structure of these NBIs takes time. A natu ral evolution for IBN is to move beyond human-readable languages and trans ition towards natural language. In this talk\, we will discuss the evoluti on of Intents in 6G relaying Large Language Model (LLM) that translates hu man language into operational intents to deploy communication systems\, le veraging few-shot learning and human-in-the-loop Feedback.</span></p>\n<p class="MsoNormal">&nbsp\;</p>\n<p class="MsoNormal"><strong><span lang="EN -US" style="mso-ansi-language: EN-US\;">BIOGRAPHY</span></strong></p>\n<p class="MsoNormal"><span lang="EN-US" style="mso-ansi-language: EN-US\;"><i mg src="https://events.vtools.ieee.org/vtools_ui/media/display/5157e884-51 78-4068-8e69-a9c3a27d100f" alt="" width="256" height="221">Adlen Ksentini is a professor in the Communication Systems Department of EURECOM. He is l eading the Network softwarization group activities related to Network soft warization\, 5G/6G\, and Edge Computing. Adlen Ksentini's research interes ts are Network Sofwerization and Network Cloudification\, focusing on topi cs related to network virtualization\, Software Defined Networking (SDN)\, and Edge Computing for 5G and 6G networks. He has been participating to s everal H2020 and Horizon Europe projects on 5G and beyond\, such as 5G!Pag oda\, 5GTransformer\, 5G!Drones\, MonB5G\, ImagineB5G\, 6GBricks\, 6G-Inte nse\, Sunrise-6G and AC3.<br>He is the technical manager of 6G-Intense and AC3\, on zero-touch management of 6G resources and applications\, and Clo ud Edge Continuum\, respectively. He is interested in the system and archi tectural issues but also in algorithm problems related to those topics\, u sing Markov Chains\, Optimization algorithms\, and Machine Learning (ML). Adlen Ksentini has given several tutorials in IEEE international conferenc es\, IEEE Globecom 2015\, IEEEE CCNC 2017/2018/2023\, IEEE ICC 2017\, IEEE /IFIP IM 2017\, IEEE School 2019. Adlen Ksentini is a member of the OAI bo ard of directors\, where he is in charge of OAI 5G Core Network and ORAN m anagement (O1\, E2) for OAI RAN activities.</span></p>\n<p class="MsoNorma l">&nbsp\;</p>\n<p class="MsoNormal">&nbsp\;</p> END:VEVENT END:VCALENDAR