In-Network Computing (INC) is a currently emerging concept, that has constantly been gaining relevance in the past couple of years, among others due to the ongoing advancements in programmable networking hardware (e.g. smart NICs) and the development of network programming languages, such as P4. Deploying INC in 6G Mobile Networks would mean that the User Plane is significantly enhanced in terms of its capabilities: Instead of just forwarding the data packets of a flow, 6G Access Nodes (ANs) and User Plane Functions (UPFs) can simultaneously compute on the packet’s contents. This convergence of communication and compute capabilities can be referred to as the concept of an Intelligent User Plane. INC enables running different functions within network nodes, such as in-network analytics (e.g., data aggregation, packet inspection, machine learning inference pipeline), in-network caching (e.g., information-centric based), in-network security (e.g., firewalling, attack detection), thus providing secure and distributed intelligence, with benefits in terms of access delay, load balancing, and bandwidth consumption. Several research associations (e.g., one6G), renowned companies (e.g., Intel), and standardization development organizations such as the IETF/IRTF hype INC as one of the potential key enabling technologies for future networks, including 6G.
INC has an incredibly wide range of application areas, including robotics, video streaming, industrial IoT, Machine Learning, and many more. It can support novel 6G use-cases by its potential to optimize various network KPIs, such as the end-to-end latency, network traffic volume, or the UE energy efficiency. We encourage the submission of practical papers that may present measurements and performance studies relating to IUP/INC, as well as conceptual papers focusing on novel architectures and protocols for realizing INC (including control plane und user plane enhancements). The workshop shall attract authors and attendees from academia and industry likewise and provide them a common stage for discussing future directions on the topic.

Topics of Interest

Topics of Interest to the workshop include but are not limited to:

- Applications and Use-Cases in the INC Domain
• Stakeholders analysis and profiling
• User interaction and user design aspects
• Pilot evaluations of proof-of-concept implementations

- Design, Planning and Operational Issues of IUP/INC
• Platform and protocol considerations
• Capacity/resource planning and allocation
• Monitoring and optimization techniques

- In-Network Computing as an Enabler for Native AI in 6G
• ML inference in the User Plane
• NET4AI
• Distributed AI/ML training
• ML as a service

- Novel Architectures Supporting In-Network Computing
• RAN architectures enabling INC in 6G
• Holistic architectural concepts
• Enhancements and enablers in the Control Plane
• Enhancements and enablers in the User Plane
• Information centric networking-inspired approaches

- In-Network Computing for 6G-Relevant Sectors and Topics
• (Industrial) IoT
• Robotics
• Extended reality and Metaverse
• Security
• Health-care
• Entertainment and gaming
• Industrial/Time sensitive control

- Methodologies and Approaches Towards Evaluating the Performance of INC
• Analytical studies
• Simulation-driven evaluations
• Testbed-based experiments

Paper Submission Guidelines

Authors are invited to submit original unpublished papers not under review elsewhere. Papers should be submitted in IEEE 2-column format (Style templates can be found https://www.ieee.org/conferences/publishing/templates.html). Maximum paper lengths, including title, abstract, all figures, tables, and references, are 7 pages for regular papers and 4 pages for short papers. Regular paper length could include up to 7 pages including references. Short papers are accepted as well and must not exceed 4 pages including references.

Papers have to be submitted electronically in PDF format through the EDAS conference management system, accessible via this link https://edas.info/newPaper.php?c=32713.
All submitted papers will be peer-reviewed and selected based on their originality, significance, technical soundness, and relevance to the workshop’s theme. For accepted papers, at least one author is expected to register and present the paper in person at the workshop. Accepted and presented papers will be published in the conference proceedings and submitted to IEEE Xplore.

Workshop Chairs
Riccardo Trivisonno, Huawei Technologies, Germany
Thomas Zinner, NTNU, Norway

TPC Co-chairs
George Karetsos, University of Thessaly, Greece
Antonella Molinaro, University Mediterranea of Reggio Calabria, Italy, and University Paris-Saclay, France
Susanna Schwarzmann, Huawei Technologies, Germany

Publicity Co-chairs
Aryan Kaushik, University of Sussex, UK
Keynote and Panel Chair
Stanislav Lange, NTNU, Norway

Technical Program Committee
Sebastiano Miano, Politecnico di Milano
Elisa Rojas Sanchez, Universidad de Alcala, Spain
Daniel Corujo, University of Aveiro & Instituto de Telecomunicações Portugal,
Marica Amadeo, CNIT and University Mediterranea of Reggio Calabria
Dinh C Nguyen, University of Alabama in Huntsville, US
Luca de Nardis, University of Rome La Sapienza, Italy
Adrian Kliks, Poznan University of Technology, Poland
Wonjae Shin, Korea University, South Korea
Antonio Iera, CNIT and University of Calabria, Italy
Marie-Jose Montpetit, École de Technologie Supérieure, Montréal, Canada
Hamed Farhadi, Ericsson, Sweden
Riccardo Guerzoni, Docomo
Mattia Giovanni Spina, CNIT and University of Calabria, Italy
Rongke Liu, Beihang University, China,
Fulvio Risso, Politecnico di Torino
Keshav Singh, NSYU, Taiwan
Stefano Salsano, University of Rome Tor Vergata