Activities

ZZNets · Work programme

Activities

Four activities take the Hypercell concept from protocol design to experimental validation, AI-based modelling and network optimisation.

Activity 1 · SO1 12.5% energy saved

Hypercell-based energy-saving solution

Architecture, dynamic cell pairing and a distributed carrier shutdown protocol, supported by AI building blocks for traffic-, quality- and energy-aware decisions.

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Activity 2 · SO2 < 4 dB RMSE

Sky-to-indoor propagation and experimental platform

Outdoor-to-indoor measurement campaigns across five frequency bands, and the first Hypercell platform built on commercial 5G equipment and a tethered drone.

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Activity 3 · SO3 70× faster

AI-based modelling and network digital twin

Generative channel modelling, traffic forecasting and SINR prediction, integrated into the GPU-accelerated Giulia system-level simulator.

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Activity 4 · SO4 67% energy saved

Optimisation foundations for AI-based Hypercell operation

A theoretical optimisation framework and the BLASTER algorithm, extended with Bayesian Optimization, reinforcement learning and transfer learning.

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