dynamic-spectrum-access

Cognitive radio simulation in C++: dynamic common control channel with Markov PU prediction, underlay/interweave access, and backoff-based displacement recovery (with a verified spectrum-sensing baseline)

PyTorch replication of Wang et al. (2018) "Deep Reinforcement Learning for Dynamic Multichannel Access." DQN vs. the analytical optimal policy on the round-robin switching case

ICC 2027 manuscript, code, data, and reproducibility artifacts for Lyapunov-controlled minimax policy learning in adversarial dynamic spectrum access