Deep Q-Learning-Based Resource Allocation in NOMA Visible Light Communications

Deep Q-Learning-Based Resource Allocation in NOMA Visible Light Communications

Visible light communication (VLC) has been introduced as a key enabler for high-data rate wireless services in future wireless communication networks. In addition to this, it was also demonstrated recently that non-orthogonal multiple access (NOMA) can further improve the spectral efficiency of mult...

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Bibliographic Details
Main Authors: Ahmed Al hammadi, Lina Bariah, Sami Muhaidat, Mahmoud Al-Qutayri, Paschalis C. Sofotasios, Merouane Debbah
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Open Journal of the Communications Society
Subjects:
Deep reinforcement learning
multiple access
resource allocation
sum-rate
visible light communications
Online Access:https://ieeexplore.ieee.org/document/9946301/

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