Research of 5G HUDN network selection algorithm based on Dueling-DDQN
Jianli Xie,
Binhan Zhu,
Cuiran Li
Abstract:Due to the dense deployment and the diversity of user service types in the 5G HUDN environment, a more flexible network selection algorithm is required to reduce the network blocking rate and improve the user’s quality of service (QoS). Considering the QoS requirements and preferences of the users, a network selection algorithm based on Dueling-DDQN is proposed by using deep reinforcement learning. Firstly, the state, action space and reward function of the user-selected network are designed. Then, by calculat… Show more
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