A hybrid proactive caching system in vehicular networks based on contextual multi-armed bandit learning

HIGHLIGHTS

  • who: QIAO WANG et al. from the Communication Technologies Research Group, Institute for Safe Autonomy and School of Physics, Engineering and Technology, University of York, York , have published the research: A Hybrid Proactive Caching System in Vehicular Networks based on Contextual Multi-armed Bandit Learning, in the Journal: (JOURNAL)
  • what: Specifically the paper proposes a distributed Hybrid cMAB Proactive Caching System where RSUs act as independent learners that implement two parallel online reinforcement learning-based mobility prediction algorithms between which they can adaptively finalize their predictions for the next RSU. With the different road layouts . . .

     

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