As 6G networks begin to take shape, the shift from siloed connectivity to intelligent, integrated, and adaptive systems becomes critical. Within the iSEE-6G project, one of the most forward-looking innovations contributing to this transformation is the Enricher - a modular, AI-driven component deployed within a MEC-native infrastructure, designed to enable real-time joint sensing, inference, and network optimization at the edge.
The Enricher is not just a data processor; it acts as a decision-making catalyst in mission-critical scenarios where latency, energy efficiency, and dynamic adaptability are non-negotiable. From autonomous trucks switching to teleoperation in dense urban environments to pedestrian detection and collision avoidance, the Enricher plays a central role in adapting communication and computing resources on the fly, maintaining service continuity even in challenging environments.
Crucially, the Enricher is designed to bridge the gap between communication and sensing, making it a key enabler for Integrated Sensing and Communication (ISAC) use cases. By ingesting and processing data from the network, the Enricher facilitates enhanced situational awareness in dynamic environments. This capability is essential for applications like cooperative vehicular navigation, hazard prediction, or context-aware beam management. In iSEE-6G, ISAC is not just about coexisting technologies — it is about mutually reinforcing feedback loops between what the network senses and how it reacts in real time.
At the heart of this responsiveness lies a paradigm shift toward computation in the network, where traditional separation between data transport and data processing is eliminated. The Enricher operates as a network-native computation entity, dynamically positioned within the edge infrastructure. It allows for distributed AI inference and control, reducing the need to offload decision-making to distant data centers. This not only minimizes latency but also supports sustainable compute allocation by adjusting workloads based on predicted demand, energy constraints, and network KPIs.
What makes the Enricher central to the iSEE-6G vision is that it uses prediction engines (initially LSTM and Temporal Fusion Transformers) to forecast workload and resource needs, while upcoming iterations will incorporate a full-fledged Intent Maker to support proactive, goal-driven orchestration across the edge-cloud continuum.
Beyond its technical capabilities, the Enricher is a horizontal innovation within iSEE-6G — applicable across various verticals from agriculture to public safety and industrial automation. It aligns closely with the iSEE-6G pillars of programmability, AI-native infrastructure, and sustainable operation by reducing the overhead of centralized processing and enabling zero-touch orchestration closer to where the data is generated.
As 6G ecosystems evolve, the Enricher provides a glimpse into how AI-powered, programmable edge components will redefine what it means to be connected — not just in terms of speed or coverage, but in intelligence, responsiveness, and resilience.
Stay connected with iSEE-6G for more insights on intelligent network components shaping the 6G era of ISAC.