A Cooperative Online Learning-Based Load Balancing Scheme for Maximizing QoS Satisfaction in Dense HetNets

A Cooperative Online Learning-Based Load Balancing Scheme for Maximizing QoS Satisfaction in Dense HetNets

This paper proposes a cooperative multi-agent online reinforcement learning-based (COMORL) bias offset (BO) control scheme for cell range expansion (CRE) in dense heterogeneous networks (HetNets). The proposed COMORL scheme controls BOs for CRE to maximize the number of user equipments (UEs) that sa...

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Bibliographic Details
Main Authors: Hyungwoo Choi, Taehwa Kim, Hong-Shik Park, Jun Kyun Choi
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Hetnets
cell range expansion
load balancing
QoS
cooperative multi-agent reinforcement learning
Online Access:https://ieeexplore.ieee.org/document/9456913/

Internet

https://ieeexplore.ieee.org/document/9456913/

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