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...
| Main Authors: | Manglayev, Talgat, Kizilirmak, Refik Caglar, Kho, Yau Hee, Abdul Hamid, Nor Asilah Wati, Tian, Yue |
|---|---|
| Format: | Article |
| Published: |
Springer
2022
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/100156/ |
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