A detailed reinforcement learning framework for resource allocation in non‐orthogonal multiple access enabled‐B5G/6G networks
Abstract The world of communications technology has recently undergone an extremely significant revolution. This revolution is an immediate consequence of the immersion that the fifth generation B5G and 6G have just brought. The latter responds to the growing need for connectivity and it improves th...
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| Main Authors: | Nouri Omheni, Anis Amiri, Faouzi Zarai |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-09-01
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| Series: | IET Networks |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/ntw2.12131 |
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