Author

Cyril Arbel

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Open access Sep 2026

Adaptive Spectrum Allocation for Low Latency Vehicular Networks Using Deep Reinforcement Learning

An Adaptive Deep Reinforcement Learning (ADRL) based dynamic spectrum allocation framework for AVNs can ensure efficient spectrum allocation and reliable communication in a fast-growing network density and degraded channel environment and has stable convergence characteristics in its training behavior.

Cyril Arbel · Elaris Computing Nexus · 0 citations