RL-SARSA Machine Learning Based Analog Radio over Fiber System [post]

Muhammad Usman Hadi
2019 unpublished
We propose a 10-Gb/s 64-quadrature amplitude modulation (QAM) signal-based Radio over Fiber (RoF) system for 50 km of standard single mode fiber length which utilizes Reinforcement Learning (RL) SARSA based decision method to indicate an effective decision which mitigates nonlinearity. By utilizing RL-SARSA algorithm, the results demonstrate that significant reduction can be obtained in terms of bit error rate.
doi:10.20944/preprints201909.0159.v1 fatcat:hmednple2rdnzgenqwoakeomo4