The advent of 6G will tightly connect the human, physical and digital worlds, enabling applications such as immersive experiences, collaborative robots, and Digital Twins. However, these use cases place unprecedented demands on communication systems, that were designed as “bit pipes,” unaware of the meaning of transmitted data. MAGIC-6G addresses this challenge by advancing the Goal-oriented Communication (GoC) paradigm, in which the network dynamically interprets application needs and transmits only the information required to achieve a given objective. The project extends the concept to Goal-Oriented Networking (GoN), viewing the network and applications as a distributed system of cooperating agents. Its vision is a 6G architecture in which applications and network functions are co-designed through context-aware and intent-driven interfaces to achieve specific goals.
At the heart of the MAGIC-6G vision lies the ability to evaluate and act upon information based on its relevance to specific objectives. While current goal-oriented solutions are often siloed and limited to point-to-point scenarios, MAGIC-6G proposes a comprehensive architecture in which applications can explicitly define their goals. This enables decisions not only on what to transmit, but also on who should transmit it and when. The core innovation of MAGIC-6G is the introduction of two native layers into the 6G protocol architecture: the Knowledge Layer, which manages what each network node knows and how this information is represented; and the Agent Layer, which is responsible for network decision-making and resource optimisation. These layers interact directly with applications through dedicated interfaces, translating high-level intents into actionable metrics and operational constraints for the network.
Our objectives
Our use cases
Use case 1: Digital Twins for environmental protection
In environmental protection tasks, sensors generally transmit low-rate status updates using goal-driven scheduling to minimise energy and bandwidth consumption. However, during critical situations such as forest fires, this only provides limited knowledge to responders. MAGIC-6G will detect critical scenarios using AI-based Digital Twins, automatically deploying drones and mobile sensors to dynamically sense the environment and reconstruct the scene in real time.
Use case 2: Autonomous industrial robots
Industrial robots cooperating to perform a task may need to share information and cooperate to build a map of the dynamic environmente and coordinate more effectively. However, exchanging all sensory information slows the operation down due to the large size of three-dimensional video and depth map information. MAGIC-6G uses semantic reasoning to efficiently build a shared dynamic map, allowing the robots to manipulate objects, and detect potential faults in the system.
Use case 3: Cooperative XR for immersive collaboration
In a virtual classroom, students and teachers interact over eXtended Reality (XR), sharing audio and video and manipulating real and virtual objects. This use case is extremely bandwidth-intensive and requires real-time operation to keep synchronization between all participants: MAGIC-6G allows the rendering servers to process only the relevant information for their quality of experience, enabling teachers to seamlessly distribute multimedia and 3D content across student devices.
Our team
University of Padova (Italy) – coordinator
Nokia (Germany and Finland)
Linköping University (Sweden)
WINGS ICT Solutions (Greece)
Brainstorm 3D (Spain)
Turkcell (Türkiye)