Analysis of an LSTM-based NOMA Detector Over Time Selective Nakagami-m Fading Channel Conditions
This work examines the efficacy of deep learning (DL) based non-orthogonal multiple access (NOMA) receivers in vehicular communications (VC). Analytical formulations for the outage probability (OP), symbol error rate (SER), and ergodic sum rate for the researched vehicle networks are established us...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
National Institute of Telecommunications
2022-09-01
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| Series: | Journal of Telecommunications and Information Technology |
| Subjects: | |
| Online Access: | https://jtit.pl/jtit/article/view/444 |