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 multi-user VLC systems. In this context and owing to the significantly
promising potential of artificial intelligence in wireless communications, the present
contribution proposes a deep Q-learning (DQL) framework that aims to optimize the …
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 multi-user VLC systems. In this context and owing to the significantly
promising potential of artificial intelligence in wireless communications, the present
contribution proposes a deep Q-learning (DQL) framework that aims to optimize the …
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 multi-user VLC systems. In this context and owing to the significantly
promising potential of artificial intelligence in wireless communications, the present
contribution proposes a deep Q-learning (DQL) framework that aims to optimize the …
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 multi-user VLC systems. In this context and owing to the significantly
promising potential of artificial intelligence in wireless communications, the present
contribution proposes a deep Q-learning (DQL) framework that aims to optimize the …
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