Improving the performance of the MIMO-OFDM-NOMA System using a V-BLAST ZF approach based on deep CNN in IoT
Abstract We are heading toward an “everything, everywhere, and always connected” future, and the IoT will become a key part of our future lives. To achieve this goal, high-efficiency communication networks capable of handling high-rate data transmissions are required. In this paper, the network perf...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-07-01
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| Series: | EURASIP Journal on Wireless Communications and Networking |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13638-025-02481-w |
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| Summary: | Abstract We are heading toward an “everything, everywhere, and always connected” future, and the IoT will become a key part of our future lives. To achieve this goal, high-efficiency communication networks capable of handling high-rate data transmissions are required. In this paper, the network performance of the MIMO-OFDM-NOMA system was evaluated based on user location estimation by a deep CNN and channel estimation using the V-BLAST ZF technique. The results showed that the proposed method improved communication performance by approximately 9.59%, energy efficiency by 23.53%, and throughput by about 53.71% compared to the MMSE technique. Additionally, to examine the impact of using NOMA, BER and delay metrics were used. The results showed that by using the V-BLAST ZF technique, the BER for the MIMO-OFDM-NOMA network would be approximately 70.9% better than the MIMO-OFDM. Furthermore, the delay would be reduced by 21.29%. |
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| ISSN: | 1687-1499 |