• Corpus ID: 239998332

Deep Reinforcement Learning for Simultaneous Sensing and Channel Access in Cognitive Networks

@article{Bokobza2021DeepRL,
  title={Deep Reinforcement Learning for Simultaneous Sensing and Channel Access in Cognitive Networks},
  author={Yoel Bokobza and Ron Dabora and Kobi Cohen},
  journal={ArXiv},
  year={2021},
  volume={abs/2110.14541}
}
We consider the problem of dynamic spectrum access (DSA) in cognitive wireless networks, where only partial observations are available to the users due to narrowband sensing and transmissions. The cognitive network consists of primary users (PUs) and a secondary user (SU), which operate in a time duplexing regime. The traffic pattern for each PU is assumed to be unknown to the SU and is modeled as a finite-memory Markov chain. Since observations are partial, then both channel sensing and access… 
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TLDR
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