April 2026 - RACI-list - mailman.ripe.net

CfP - IEEE MNC Special Session on AI-Native and Data-Driven Management for Next-Generation Networks
by GIOVANNI STANCO 20 Apr '26

20 Apr '26

====================================================================================== CALL FOR PAPERS Special Session: AI-Native and Data-Driven Management for Next-Generation Networks Part of the 2026 IEEE International Symposium on Measurement in Networking and Communications (MNC) Napoli, Italy - July 13-16, 2026 https://mnc2026.ieee-ims.org/program/special-sessions#session-1-1 EXTENDED SUBMISSION DEADLINE: April 21, 2026 ====================================================================================== We invite the submission of original research contributions to the Special Session on AI-Native and Data-Driven Management for Next-Generation Networks, organized within the framework of the 2026 IEEE International Symposium on Measurement in Networking and Communications, held in Napoli, Italy, July 13-16, 2026. AI-Native and Data-Driven Management is important and promising for Measurement in Networking since it will enable automatic optimization and network management. Over the years, Artificial Intelligence (AI) and Machine Learning (ML) have become increasingly pervasive in networking and communications, playing a key role in the development, deployment, and management of next-generation networks. Current research trends show how AI can enhance 5G networks at at the RAN, Edge, and Core layers, using measured data coming from multiple entities. While AI adoption in 5G has been an evolving process, 6G is envisioned as truly AI-native. The next generation of mobile networks will embed "connected intelligence" throughout its architecture, leveraging AI for network design, optimization, and autonomous operation. In 6G, AI will not only enhance network performance but also enable and support AI-driven services running seamlessly across the entire network from the user equipment to the network core. Through this AI-native framework, the network will be capable of analyzing real-time data to jointly orchestrate functions such as scheduling, network slicing, and strategic planning. AI technologies in fact, expand new potential in the optimization of the full end-to-end chain of the physical layer, from the transmitter to the receiver, enabling self-optimization by combining advanced sensing and data collection also introducing the capability to consider network metrics, such as current spectrum, power conditions, and number of connections, evolving because of signal reflections off buildings and weather patterns for constant re-optimization. Monitoring of real-time environmental and contextual data is a promising enabler for ML-based air interface optimization, leading to more efficient spectrum use and reduced latency. Not only, nowadays, AI is now further enhanced and made more interpretable through XAI methodologies, which allow us to better understand how the algorithms operate and which features are most relevant for predictions. Topics of interest include, but are not limited to: * Measurements for 6G, beyond-5G, and next-generation communications * Trustworthy AI and explainable measurement approaches * AI/ML-driven network measurement and diagnostics * Software-defined and virtualized network measurement * Big Data analytics for network traffic, QoS, and QoE evaluation * Security, privacy, and reliability network measurements in 5G and 6G ***Timeline*** Paper registration: April 21, 2026 Initial manuscript deadline: April 21, 2026 ***Manuscript submission information*** Authors are invited to submit a Full Paper (4-6 pages) reporting original research of a theoretical or applied nature using the online submission system, EDAS. EDAS Submission Link: https://edas.info/N34568 Further information available: https://mnc2026.ieee-ims.org/author-information ***Special Session Chairs*** Prof. Giovanni Stanco University of Naples Federico II, Italy Email: giovanni.stanco(a)unina.it<mailto:giovanni.stanco@unina.it> Prof. Stefania Zinno University of Naples Federico II, Italy Email: stefania.zinno(a)unina.it<mailto:stefania.zinno@unina.it>

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CfP - IEEE MNC Special Session on AI-Native and Data-Driven Management for Next-Generation Networks
by GIOVANNI STANCO 10 Apr '26

10 Apr '26

====================================================================================== CALL FOR PAPERS Special Session: AI-Native and Data-Driven Management for Next-Generation Networks Part of the 2026 IEEE International Symposium on Measurement in Networking and Communications (MNC) Napoli, Italy - July 13-16, 2026 https://mnc2026.ieee-ims.org/program/special-sessions#session-1-1 EXTENDED SUBMISSION DEADLINE: April 21, 2026 ====================================================================================== We invite the submission of original research contributions to the Special Session on AI-Native and Data-Driven Management for Next-Generation Networks, organized within the framework of the 2026 IEEE International Symposium on Measurement in Networking and Communications, held in Napoli, Italy, July 13-16, 2026. AI-Native and Data-Driven Management is important and promising for Measurement in Networking since it will enable automatic optimization and network management. Over the years, Artificial Intelligence (AI) and Machine Learning (ML) have become increasingly pervasive in networking and communications, playing a key role in the development, deployment, and management of next-generation networks. Current research trends show how AI can enhance 5G networks at at the RAN, Edge, and Core layers, using measured data coming from multiple entities. While AI adoption in 5G has been an evolving process, 6G is envisioned as truly AI-native. The next generation of mobile networks will embed "connected intelligence" throughout its architecture, leveraging AI for network design, optimization, and autonomous operation. In 6G, AI will not only enhance network performance but also enable and support AI-driven services running seamlessly across the entire network from the user equipment to the network core. Through this AI-native framework, the network will be capable of analyzing real-time data to jointly orchestrate functions such as scheduling, network slicing, and strategic planning. AI technologies in fact, expand new potential in the optimization of the full end-to-end chain of the physical layer, from the transmitter to the receiver, enabling self-optimization by combining advanced sensing and data collection also introducing the capability to consider network metrics, such as current spectrum, power conditions, and number of connections, evolving because of signal reflections off buildings and weather patterns for constant re-optimization. Monitoring of real-time environmental and contextual data is a promising enabler for ML-based air interface optimization, leading to more efficient spectrum use and reduced latency. Not only, nowadays, AI is now further enhanced and made more interpretable through XAI methodologies, which allow us to better understand how the algorithms operate and which features are most relevant for predictions. Topics of interest include, but are not limited to: * Measurements for 6G, beyond-5G, and next-generation communications * Trustworthy AI and explainable measurement approaches * AI/ML-driven network measurement and diagnostics * Software-defined and virtualized network measurement * Big Data analytics for network traffic, QoS, and QoE evaluation * Security, privacy, and reliability network measurements in 5G and 6G ***Timeline*** Paper registration: April 21, 2026 Initial manuscript deadline: April 21, 2026 ***Manuscript submission information*** Authors are invited to submit a Full Paper (4-6 pages) reporting original research of a theoretical or applied nature using the online submission system, EDAS. EDAS Submission Link: https://edas.info/N34568 Further information available: https://mnc2026.ieee-ims.org/author-information ***Special Session Chairs*** Prof. Giovanni Stanco University of Naples Federico II, Italy Email: giovanni.stanco(a)unina.it<mailto:giovanni.stanco@unina.it> Prof. Stefania Zinno University of Naples Federico II, Italy Email: stefania.zinno(a)unina.it<mailto:stefania.zinno@unina.it>

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ACM CoNEXT 2026 Call for Workshop Proposals
by GIOVANNI STANCO 09 Apr '26

09 Apr '26

+---------------------------------------------------------------+ Call for Workshop Proposals ACM CoNEXT 2026 Utrecht, The Netherlands - December 7-10, 2026 Workshop Proposal Submission Deadline: May 19, 2026 https://conferences.sigcomm.org/co-next/2026/#!/cfw +---------------------------------------------------------------+ ACM CoNEXT 2026, to be held in-person in Utrecht, The Netherlands, is soliciting proposals for half-day and full-day workshops to be co-located with the main conference. We invite you to submit workshop proposals on any topic related to the broad set of research and application areas covered by the ACM CoNEXT conference. We welcome workshops on topics in network research, practice, and education. Topics that represent new research areas and directions are particularly welcome. If the workshop is accepted, the proposers agree to recruit a Program Committee for selecting papers, recruit invited speakers if applicable, and advertise the workshop in order to attract papers and attendees. The workshop chairs reserve the right to cancel workshops that do not receive a sufficient number of submissions from their open call. Furthermore, it is expected that the majority of accepted papers will originate from authors who are not members of the workshop's Technical Program Committee (TPC) and will be submitted in response to the open call. While invited papers may be included in the final program, they should constitute a minority of the accepted submissions. As an integral part of the conference, the workshops will be fully incorporated into CoNEXT's logistical and budget planning process. Workshop papers - unless opted-out - will be published in the same set of proceedings as the conference's short papers, and will be available on the ACM Digital Library. Workshop papers will not appear as part of the new journal-based proceedings (PACMNET). Detailed guidelines on how to prepare your workshop proposal submission can be found at: https://conferences.sigcomm.org/co-next/2026/#!/cfw Where to Submit a Workshop Proposal Please submit your workshop proposal in a single PDF file by sending it to the Workshop Chairs over email at workshopchairs_conext2026(a)auckland.ac.nz<mailto:workshopchairs_conext2026@auckland.ac.nz>. with the subject “CoNEXT 2026 Workshop Proposal: xxxx” (where xxxx is the acronym of your proposed workshop) by May 19, 2026. Please follow the deadlines below. Important dates (in reverse chronological order) * Workshop paper submission: July 14th, 2026 * Workshop paper abstract registration: July 7th, 2026 * Announcement of CFPs: Before June 15th, 2026 * Announcement of selected workshops: June 8th, 2026 * Submission of workshop proposals: May 19th, 2026 Note that the time between the notification of acceptance of the workshop and the announcement of the CFP is limited. Thus, we reiterate that you should contact your workshop's potential TPC members and secure the participation of most of them before submitting your proposal. Preliminary Information for Workshop Planning All deadlines will be common across workshops. * Paper submissions deadline: July 14th, 2026 * Paper acceptance notification: Before end of August, 2026 * Camera ready due: Before end of September, 2026 * Program available online: Before mid-October, 2026 * List of organisation details: Before mid-October, 2026 In order for the workshops to be synchronised with preparations for the main conference and with travel grants, the dates above must be strictly followed by all workshops. Please contact the CoNEXT 2026 Workshop co-chairs Chris Visser and Ulrich Speidel (workshopchairs_conext2026(a)auckland.ac.nz<mailto:workshopchairs_conext2026@auckland.ac.nz>) with any questions.

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