/RAPIDNESS

RAPIDNESS

Smart industries logo

Collaborative and cooperative intelligent radio networks for emergency cases

Disaster relief requires resilient communication

In emergencies such as natural disasters, first responders and disaster relief agencies rely on wireless communication for effective coordination and for minimizing casualties within the critical first 72 hours.

During such disasters, however, the telecommunication infrastructure often suffers extensive damage. Restoring it is time-consuming and costly, as evidenced by the recent earthquakes in Turkey and Syria, where numerous cellular towers were destroyed.

The RAPIDNESS project aims to develop a resilient, rapidly deployable solution: a collaborative and intelligent communication platform for emergencies.

Key innovation goals

The RAPIDNESS project proposes a holistic platform that makes use of 5G technology to integrate terrestrial and non-terrestrial networks into a Collaborative and Cooperative Intelligent Radio Network (CIRN) for emergency communication. The key innovation goals are:

  • Creating an architecture that incorporates self-configuration, self-healing, and self-optimization to allow setting up emergency services among standalone CIRN-based networks over 5G, dynamically and with guaranteed service levels.
  • Enhancing the resilience, adaptability, and efficiency of CIRNs by automatically optimizing backhaul, adjusting network and radio resources, prioritizing spectrum, and enabling collaboration with other emergency networks to ensure stable services across multiple radio systems.
  • Developing robust inter- and intra-radio connectivity, supported by advanced algorithms for collaborative information use and dynamic spectrum management to ensure guaranteed service levels across diverse scenarios.
  • Automating the selection of non-terrestrial networks, evaluating satellite orbits based on availability, coverage, cost, latency, and throughput. Self-configuration, self-healing, and self-optimization will ensure optimal choices for delivering the best quality of service.
  • Extending network autonomy without sacrificing performance, with advanced machine learning algorithms for CIRN control (e.g., spectrum management, traffic prioritization) and radio-plane tasks (e.g., channel estimation, decoding, satellite reception).

Keeping first responders connected

The RAPIDNESS project will deliver a resilient and autonomous communication platform tailored for emergency response, combining terrestrial and non-terrestrial 5G networks with AI-driven orchestration.

Key outcomes include secure, interoperable connectivity across satellites, drones, and ground systems; scalable, user-centric networks with guaranteed service levels; and significant reductions in cost, power consumption, and manpower for deployment.

Novel AI techniques will enable efficient spectrum and resource management, energy-aware operation, and federated learning for collaborative decision-making, while hybrid localization methods and time-sensitive networking will ensure precise positioning and reliable performance in dynamic, high-stakes environments.

RAPIDNESS addresses one of the most pressing challenges in disaster response: restoring communication quickly, reliably, and cost-effectively. Its success would not only save lives during emergencies but also create market-ready technologies for broader applications.

“RAPIDNESS builds intelligent, rapidly deployable networks that keep first responders connected when disasters strike. By uniting terrestrial and satellite systems with AI-driven resilience, it ensures secure, reliable communication where it matters most. The result: faster coordination, stronger safety, and saved lives.”

RAPIDNESS

RAPIDNESS aims to build AI-powered 5G networks for resilient emergency communications, bridging terrestrial and satellite systems for mission-critical connectivity.

RAPIDNESS is an imec.icon research project funded by imec and Agentschap Innoveren & Ondernemen (VLAIO).

The project started on 01.02.2026 and is set to run until 01.02.2028.

Project information

Industry

  • NXGSAT 
  • Inmanta
  • Citymesh

Research

  • imec – IDLab – UAntwerp
  • imec – IDLab – UGent

Contact

  • Project lead: Nico Van Hevel, Citymesh
  • Research lead: Andreas Gavrielides, imec - IDLab - UAntwerp
  • Proposal manager: Miguel Hernando Camelo Botero, imec - IDLab - UAntwerp
  • Innovation manager: Deben Lamon