Emergency communication network planning method based on deep reinforcement learning

Abstract

Emergency communication has the characteristics of strong sudden and uncertainty, to meet the requirements of flexible network planning, on the basis of different characteristics of diverse layered network to accomplish the modeling description, apply the deep reinforcement learning algorithm to implement network topology planning task, and enhance the generation efficiency through the algorithm optimization. According to the business characteristics and strategies to allocate the emergency communications network business resources, then achieve the complete emergency communications network planning, finally the emergency communications network planning model and the method is verified with high rationality and efficiency by a sample simulation, which provides a certain reference for the emergency communications network planning, which provides a certain reference for the emergency communications network planning.

Keywords

• emergency communication network|communication network planning|deep reinforcement learning|dqn algorithm