A Q-Learning-Based Resource Allocation for Downlink Non-Orthogonal Multiple Access Systems Considering QoS

A Q-Learning-Based Resource Allocation for Downlink Non-Orthogonal Multiple Access Systems Considering QoS

As a technology that can accommodate more users and significantly improve spectral efficiency, non-orthogonal multiple access (NOMA) has attracted the attention of many scholars in recent years. The basic idea of NOMA is to implement multiple access in the power domain and decode the desired signal...

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Bibliographic Details
Main Authors: Qi Zhai, Miodrag Bolic, Yong Li, Wei Cheng, Chenxi Liu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
NOMA
power allocation
reinforcement learning
sum rate
spectral efficiency
Online Access:https://ieeexplore.ieee.org/document/9431195/

Internet

https://ieeexplore.ieee.org/document/9431195/

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