QoS-Aware Link Adaptation for Beyond 5G Networks: A Deep Reinforcement Learning Approach

QoS-Aware Link Adaptation for Beyond 5G Networks: A Deep Reinforcement Learning Approach

Modern wireless communication systems face increasingly complex challenges due to rapidly changing channel conditions and the growing diversity of application-specific Quality of Service (QoS) requirements. Traditional link adaptation mechanisms primarily aim to maximize throughput and often lack th...

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Bibliographic Details
Main Authors: Ali Parsa, Neda Moghim, Sachin Shetty
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Open Journal of the Communications Society
Subjects:
B5G
deep Q-network
deep reinforcement learning
link adaptation
machine learning
modulation and coding schemes
Online Access:https://ieeexplore.ieee.org/document/11104833/
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