Autonomous Mobility Management for 5G Ultra-Dense HetNets via Reinforcement Learning With Tile Coding Function Approximation

Autonomous Mobility Management for 5G Ultra-Dense HetNets via Reinforcement Learning With Tile Coding Function Approximation

Mobility management is an important feature in modern wireless networks that can provide seamless and ubiquitous connectivity to mobile users. Due to the dense deployment of small cells and heterogeneous network topologies, the traditional handover control method can lead to various mobility-related...

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Bibliographic Details
Main Authors: Qianyu Liu, Chiew Foong Kwong, Sijia Zhou, Tianhao Ye, Lincan Li, Saeid Pourroostaei Ardakani
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Handover
heterogeneous networks
reinforcement learning
tile coding
Online Access:https://ieeexplore.ieee.org/document/9478309/

Internet

https://ieeexplore.ieee.org/document/9478309/

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