Towards Learning-Based Medium Access Channel
Mohammad Sepahi · HAL (Le Centre pour la Communication Scientifique Directe) · 2020
Networking protocols are used by each networking host (e.g., end device) to communicate with one another. These hosts Before can exchange data bit with the central node (e.g., Base Station (BS) or Access Point (AP)), should first negotiate the communication protocol, conditions and parameters for that transmission which is supported at the protocol stack. Estimating these parameters in an intelligent way is much needed desired. Could machine learning estimate the parameters on their own without human in the loop? In this paper, we investigate the medium access control protocol in cellular networks. We demonstrate that reinforcement learning.