R&I group

Mobile Wireless Internet

The Mobile Wireless Internet (MWI) research group focuses on two main domains: i) 6G architecture, and ii) Intelligent transportation Systems (ITS). Regarding 6G architecture, MWI develops cutting-edge research in the areas of: i) NTN, ii) O-RAN, and iii) APIs to support vertical services. In the ITS domain, MWI focuses on: i) development of cooperative CCAM strategies leveraging ETSI-G5 protocol stacks, and ii) development of Vehicular Digital Twins that assist road operators in applying smart traffic management strategies.

Research lines

  • The Software Defined Wireless Networks (SDWN) research line works on 6G architectural concepts, including NTN, O-RAN and Network APIs. In the NTN domain, the group has developed Store & Forward mechanisms for NB-IoT networks with discontinuous feeder links. In the O-RAN domain, the group has focused on developing AI/ML mechanisms enabling MNOs to control the QoS and energy consumption trade-offs. In the domain of Network APIs, the group has developed a rate recommendation API for XR services and a predictive QoS API for teleoperated driving services.
  • The Vehicular Communications (V2X) is working on the development of cooperative applications based on the ETSI-G5 protocol stack and on the development of vehicular digital twins (VDTs). Regarding ETSI-G5 protocols, the group has open-sourced FlexStack, a Python-based stack developed in-house over the last years. Regarding VDTs, the group has developed a recommendation engine, which assists road operators in making traffic management decisions to mitigate traffic jams due to accidents on the road, or to reduce the impact of a pollution event.

Innovation lines

  • NTN – designing custom solutions in space and ground segment to integrate 5G features in satellite systems
  • Private 5G networks
  • 5G for defense applications

Technologies

  • RAN stacks: OpenAirInterface, srs and Amarisoft
  • 5GCores: open5gs and magma
  • ORAN RICs
  • Network management: Netconf/YANG
  • Simulation tools: ns3 and SUMO
  • V2X stacks: FlexStack (own), Cohda, Commsignia
  • Modems and SDKs: Quectel (5G and V2X), Qualcomm Telematics SDK
  • Linux Networking Stack

Group leader

Daniel Camps

Mobile Wireless Internet

Publications

A Data-Driven Assessment Framework for QoS Booking in Real 5G Networks

D. Reiss, O. Sallent, M. Catalan-Cid, D. Camps-Mur, “A Data-Driven Assessment Framework for QoS Booking in Real 5G Networks”, 28th International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, October 2026, Paris.

Multiuser Immersive Cultural Experiences enabled by 5G, AI and Free-Viewpoint Video

Javier Usón, César Díaz, Isabel Rodríquez, Victoria Muñoz, Ferran Cañellas, Mario Montagud, Julián Cabrera, “Multiuser Immersive Cultural Experiences enabled by 5G, AI and Free-Viewpoint Video”, Multimedia Systems, Accepted for Publication in August 2026

Intent-Based 5G subscriber management: An MCP-Mediated Architecture with Human-in-the-Loop and Multi-Step LLM Benchmarking

Sílvia Ruano Ferrer, Amr A. Abdel Nabi, Jad Nasreddine, and Daniel Camps ,”Intent-Based 5G subscriber management: An MCP-Mediated Architecture with Human-in-the-Loop and Multi-Step LLM Benchmarking” MSWIM 2026, Accepted in August 2026.

Unveiling the 5G Era: Spatiotemporal Characterization and Terrain-Aware Traffic Forecasting in Commercial Networks

R. Roca Oliver, D. Reiss de Fez, M. Trullenque Ortiz, J. Nasreddine, M. Catalan-Cid, A. A. AbdelNabi, D. Camps-Mur, “Unveiling the 5G Era: Spatiotemporal Characterization and Terrain-Aware Traffic Forecasting in Commercial Networks,” IEEE Open Journal of the Communications Society, 2026.

COSMO: O-RAN-Based Service Management and Orchestration for Cross-Technology Multi-Tenant Radio Access Networks

Miguel Catalan-Cid, Joan Josep Aleixendri, Jorge Pueyo, Pau Tomas, and Daniel Camps-Mur, “COSMO: O-RAN-Based Service Management and Orchestration for Cross-Technology Multi-Tenant Radio Access Networks,” accepted for publication in IEEE Transactions on Network and Service Management, 2026

Energy-Efficient CPU Resource Management in DPDK-Based UPFs: Experimental Insights and Strategies

M. Fuentes-Gonzales, M. Catalan-Cid and D. Camps-Mur, “Energy-Efficient CPU Resource Management in DPDK-Based UPFs: Experimental Insights and Strategies,” in IEEE Open Journal of the Communications Society, vol. 7, pp. 4731-4746, 2026, doi: 10.1109/OJCOMS.2026.3690785.

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Demos

Demo of BeGREEN Intelligence Plane for AI-driven Energy Efficient O-RAN management I i2CAT

Demo of BeGREEN Intelligence Plane for AI-driven Energy Efficient O-RAN management I i2CAT

Demo of BeGREEN Intelligence Plane for AI-driven Energy Efficient O-RAN management I i2CAT

Boosted Tele-operated driving experience through network exposure APIs I i2CAT

Boosted Tele-operated driving experience through network exposure APIs I i2CAT

BeGREEN Intelligence Plane EUCNC'24 Demo

BeGREEN Intelligence Plane EUCNC'24 Demo

Declarative Element Manager with self-healing capabilities for private 5G RANs

Declarative Element Manager with self-healing capabilities for private 5G RANs

Vehicular digital twin for safe urban mobility - CODECO

Vehicular digital twin for safe urban mobility – CODECO

Vulnerable Road Users Safety: protecting users through their smartphone

Vulnerable Road Users Safety: protecting users through their smartphone

Slicing rApp for Multi-RAT deployments

Slicing rApp for Multi-RAT deployments

Open-VERSO PoC#7: Small Cells Multi-RAT para Aplicaciones de Neutral Host

Open-VERSO PoC#7: Small Cells Multi-RAT para Aplicaciones de Neutral Host

Mobile Wireless Internet

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