Deep Learning-Based Resource Allocation Scheme for Heterogeneous NOMA Networks

Deep Learning-Based Resource Allocation Scheme for Heterogeneous NOMA Networks

In this paper, we consider downlink power-domain non-orthogonal multiple access (NOMA) in heterogeneous networks (HetNets) and propose resource allocation algorithms for subchannels and transmit powers to improve the sum rate performance while satisfying a minimum data-rate requirement. The proposed...

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Bibliographic Details
Main Authors: Donghyeon Kim, Sean Kwon, Haejoon Jung, In-Ho Lee
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Non-orthogonal multiple access
heterogeneous network
deep neural network
subchannel allocation
power allocation
sum rate
Online Access:https://ieeexplore.ieee.org/document/10226210/

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