This paper proposes a transmission parameter configuration method for narrowband network nodes in an emergency scenario. This method uses a multi-armed gambling machine-based reinforcement learning algorithm, which can effectively improve the network throughput and transmission success rate. The article gives the architecture and model of the emergency network, simulates and analyzes different parameter configuration algorithms, and makes a comparative analysis. The analysis shows that the algorithm can significantly improve the network’s capabilities.