Deep Q-Learning for Self-Organizing Networks Fault Management and Radio Performance Improvement

10 Jul 2017Faris B. MismarBrian L. Evans

We propose an algorithm to automate fault management in an outdoor cellular network using deep reinforcement learning (RL) against wireless impairments. This algorithm enables the cellular network cluster to self-heal by allowing RL to learn how to improve the downlink signal to interference plus noise ratio through exploration and exploitation of various alarm corrective actions... (read more)

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