AI-Driven Sensing, Positioning & Network Intelligence

Turning communication infrastructure into an intelligent sensing and awareness platform.

IISAC · Innovation initiative

Our role

We initiated this work and coordinate it, with a focus on 6G.

IISAC investigates how AI can transform communication infrastructure from a connectivity-only system into an intelligent platform capable of sensing, localization, contextual awareness and adaptive decision-making.

  • AI-assisted sensing
  • Positioning and localization
  • Signal interpretation
  • Context awareness
  • Object/environment detection
  • Intelligent radio-resource adaptation
  • Distributed sensing intelligence
  • Edge AI
  • AI-assisted decision-making

The challenge

Sensing infrastructure is normally deployed separately from communications infrastructure, and paid for separately. Radar serves one purpose, cameras another, and a separate network carries the results.

A radio signal reflecting off a moving object already carries information about that object. The challenge lies in resolving spectrum, waveform, architecture and privacy together, so the network can communicate and sense at once.

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Our approach

We work on architectures where a single waveform carries data and senses the environment it passes through, so presence, position and movement are measured by infrastructure that is already deployed for connectivity.

AI-based prediction and localization sit on top of the raw measurements, and privacy is treated as an architectural constraint from the start rather than a policy applied afterward.

Technologies

Machine learning, Context intelligence, Multi-Agent & Agentic AI, Edge Intelligence, Intelligent Orchestration, Computer vision / sensing fusion.