How the training data set can be generated in the NOMA system. It doesn't mention how the training data set was been generated. Any ideas.
Thanks
Non-orthogonal multiple access (NOMA) is one of the most promising radio access techniques in next-generation wireless communications. ... Code-domain NOMA can further be classified into several multiple access techniques that rely on low-density spreading and sparse code multiple access.
https://www.researchgate.net/post/How_training_set_can_be_generated_for_NOMA_system_in_machine_learning
These answers can be used
Kindly check...
AI-enhanced constellation design for NOMA system: A model driven ...
by S Wang · 2020
A Deep Learning Approach for MIMO-NOMA Downlink Signal ...
Deep-Learning Scheme Based on the MIMO-NOMA System · by C Lin · 2019
Non-orthogonal multiple access (NOMA) is one of the most promising radio access techniques in next-generation wireless communications. ... Code-domain NOMA can further be classified into several multiple access techniques that rely on low-density spreading and sparse code multiple access.
Hi Dr Kanchana Katta . See the following link: https://www.mathworks.com/matlabcentral/fileexchange/75478-deep-learning-for-signal-detection-in-noma-systems
See the following link : https://discovery.ucl.ac.uk/id/eprint/10124770/1/FINAL%20VERSION.pdf
Also see the following link: https://eprints.whiterose.ac.uk/141652/1/FINAL_Article.pdf
