A hybrid CNN-BILSTM deep learning framework for signal detection of a massive MIMONOMA system
Non-orthogonal multiple access (NOMA) has been proposed as a replacement for orthogonal multiple access (OMA) in 6G networks to reduce latency, improve throughput and increase data rates. However, the most common technique for detecting NOMA in receivers, known as successive interference cancellatio...
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| Main Authors: | Mohamed A. Abdelhamed, Mennatalla Samy, Bassem E. Elnaghi, Ahmed Magdy |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
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| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123025019231 |
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