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

We consider the problem of dynamic spectrum access (DSA) in cognitive wireless networks, consisting of primary users (PUs) and secondary users (SUs), where only partial observations are available at the SUs due to narrowband sensing and transmissions. The network operates in a time-slotted regime, w... View More