Reinforcement learning based adaptive handover in ultra-dense cellular networks with small cells

Reinforcement learning based adaptive handover in ultra-dense cellular networks with small cells

The dense deployment of the small base station (BS) in fifth-generation commination system can satisfy the user demand on high data rate transmission. On the other hand, such a scenario also increases the complexity of mobility management. In this paper, we developed a Q-learning framework exploit...

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Bibliographic Details
Main Authors: LIU, Qianyu, Kwong, Chiew Foong, Sun, Wei, Li, Lincan, Zhao, Haoyu
Format: Conference or Workshop Item
Language:English
Published: 2020
Subjects:
handover; reinforcement learning; ultra-dense networks
Online Access:https://eprints.nottingham.ac.uk/64054/

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