AI based power allocation for NOMA
Novel methods using artificial intelligence for downlink power allocation problem in non-orthogonal multiple access networks are presented. The proposed machine learning and deep learning based methods achieved performance close to the optimum in terms of sum capacity with significantly lower comput...
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Main Authors: | Manglayev, Talgat, Kizilirmak, Refik Caglar, Kho, Yau Hee, Abdul Hamid, Nor Asilah Wati, Tian, Yue |
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Format: | Article |
Published: |
Springer
2022
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Online Access: | http://psasir.upm.edu.my/id/eprint/100156/ https://link.springer.com/article/10.1007/s11277-022-09511-6 |
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