-Ongoing-6GML/AIMobilityRRMTestbedIntelligent Radio Resource and Mobility Management based on Federated Learning

Cooperation among AI-based solutions towards efficient radio resource and mobility management

The project aims to develop a novel artificial intelligence-based radio resource and mobility management concept exploiting federated learning with the individual management processes handled via cooperating machine learning-based algorithms.

6G, Radio resource management, Mobility management, Machine learning, Federated learning, Artificial intelligence

Major results and publications

  • , , and
    Coordinated Machine Learning for Energy Efficient D2D Communication
    IEEE Wireless Communications Letters, volume 13, no. 5, .

    [BibTex] [pdf] [doi]
  • , , and
    Coordinated Machine Learning for Handover in Mobile Networks with Transparent Relaying UAVs
    IEEE International Conference on Communications (IEEE ICC 2024), workshop AI/ML-Powered Autonomous Telco Networks (APATN), .

    [BibTex] [pdf]
  • , and
    Multi-hop Relaying with Mixed Half and Full Duplex Relays for Offloading to MEC
    IEEE Global Communications Confenrece (IEEE Globecom 2023), Workshop on Emerging Topics in 6G Communications (6GComm), .

    [BibTex] [pdf]

    Date:
    01/2023 - 12/2025
    Project No.:
    23-05646S
    Funding:
    Czech Science Foundation (GACR)
    Budget:
    ~250 kEUR
    PI:
    Zdenek Becvar
    Team (6Gm):
    Pavel Mach, Ishtiaq Ahmad, ...TBD...
    Partners:
    ...
    Topics:
    6G, Radio resource management, Mobility management, machine learning, federated learning

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