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

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,” IEEE Open Journal of the Communications Society, 2026

Enhancing Industrial Safety Communication over Wi-Fi Networks with Frame Replication

Kumar et.al., Enhancing Industrial Safety Communication over Wi-Fi Networks with Frame Replication, IEEE Wireless Communications Magazine, 2026

Accelerating the Uptake of 5G for Automotive: Real-World Trials from the TARGET-X Project

J. Nasreddine, P. Salvati, M. Fuentes Gonzales, “Accelerating the Uptake of 5G for Automotive: Real-World Trials from the TARGET-X Project,” accepted in Special issue on Moving Towards 6G Wireless Technologies—2nd Edition, MDPI Future internet Journal, 2026,

Policy-Guided ML for Energy Savings: Cell On/Off Switching under Operator QoS Constraints in Real 5G Networks

D. Reiss, M. Catalan-Cid, D. Camps-Mur and O. Sallent, “Policy-Guided ML for Energy Savings: Cell On/Off Switching under Operator QoS Constraints in Real 5G Networks,” 2025 International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM), Barcelona, Spain, 2025, pp. 743-746, doi: 10.1109/MSWiM67937.2025.11308878.

Reducing travel times of Tele-Operated vehicles through Connected Road Maps

R. Roca Oliver, J. Nasreddine, D. Camps-Mur, P. Salvati, “Reducing travel times of Tele-Operated vehicles through Connected Road Maps,” The 27th International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, 27–31 October, 2025, Barcelona, Spain.

A Cost-Efficient 5G Non-Public Network Architectural Approach: Key Concepts and Enablers, Building Blocks and Potential Use Cases

Trakadas, P.; Sarakis, L.; Giannopoulos, A.; Spantideas, S.; Capsalis, N.; Gkonis, P.; Karkazis, P.; Rigazzi, G.; Antonopoulos, A.; Cambeiro, M.A.; Gonzalez-Diaz, S.; Conceição, L. A Cost-Efficient 5G Non-Public Network Architectural Approach: Key Concepts and Enablers, Building Blocks and Potential Use Cases. Sensors 2021, 21, 5578. https://doi.org/10.3390/s21165578 https://www.mdpi.com/1424-8220/21/16/5578

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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

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 1:25

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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