Random Frequency Division Multiplexing
In this paper, we propose a random frequency division multiplexing (RFDM) method for multicarrier modulation in mobile time-varying channels. Inspired by compressed sensing (CS) technology which use a sensing matrix (with far fewer rows than columns) to sample and compress the original sparse signal...
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| Language: | English |
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MDPI AG
2024-12-01
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| Online Access: | https://www.mdpi.com/1099-4300/27/1/9 |
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| author | Chanzi Liu Jianjian Wu Qingfeng Zhou |
| author_facet | Chanzi Liu Jianjian Wu Qingfeng Zhou |
| author_sort | Chanzi Liu |
| collection | DOAJ |
| description | In this paper, we propose a random frequency division multiplexing (RFDM) method for multicarrier modulation in mobile time-varying channels. Inspired by compressed sensing (CS) technology which use a sensing matrix (with far fewer rows than columns) to sample and compress the original sparse signal simultaneously, while there are many reconstruction algorithms that can recover the original high-dimensional signal from a small number of measurements at the receiver. The approach choose the classic sensing matrix of CS–Gaussian random matrix to compress the signal. However, the signal is not sparse which makes the reconstruction algorithms ineffective. We take full account of the great power of deep neural networks (DNN) to detect the signal as it is an underdetermined equation. The proposed RFDM establishes a novel signal modulation and detection method to target better transmission efficiency, and the simulation results show that the proposed method can achieve good BER, offering a new research paradigm to improve the spectrum efficiency of a multi-subcarrier, multi-antenna, multi-user system. |
| format | Article |
| id | doaj-art-2158ac9b27ef4c1cba3dc9d8b8d81a79 |
| institution | Kabale University |
| issn | 1099-4300 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Entropy |
| spelling | doaj-art-2158ac9b27ef4c1cba3dc9d8b8d81a792025-01-24T13:31:38ZengMDPI AGEntropy1099-43002024-12-01271910.3390/e27010009Random Frequency Division MultiplexingChanzi Liu0Jianjian Wu1Qingfeng Zhou2The School of Electric Engineering and Intelligentization, Dongguan University of Technology, Dongguan 523808, ChinaThe School of Electric Engineering and Intelligentization, Dongguan University of Technology, Dongguan 523808, ChinaThe School of Electric Engineering and Intelligentization, Dongguan University of Technology, Dongguan 523808, ChinaIn this paper, we propose a random frequency division multiplexing (RFDM) method for multicarrier modulation in mobile time-varying channels. Inspired by compressed sensing (CS) technology which use a sensing matrix (with far fewer rows than columns) to sample and compress the original sparse signal simultaneously, while there are many reconstruction algorithms that can recover the original high-dimensional signal from a small number of measurements at the receiver. The approach choose the classic sensing matrix of CS–Gaussian random matrix to compress the signal. However, the signal is not sparse which makes the reconstruction algorithms ineffective. We take full account of the great power of deep neural networks (DNN) to detect the signal as it is an underdetermined equation. The proposed RFDM establishes a novel signal modulation and detection method to target better transmission efficiency, and the simulation results show that the proposed method can achieve good BER, offering a new research paradigm to improve the spectrum efficiency of a multi-subcarrier, multi-antenna, multi-user system.https://www.mdpi.com/1099-4300/27/1/9RFDMrandom matrixDNNMIMO |
| spellingShingle | Chanzi Liu Jianjian Wu Qingfeng Zhou Random Frequency Division Multiplexing Entropy RFDM random matrix DNN MIMO |
| title | Random Frequency Division Multiplexing |
| title_full | Random Frequency Division Multiplexing |
| title_fullStr | Random Frequency Division Multiplexing |
| title_full_unstemmed | Random Frequency Division Multiplexing |
| title_short | Random Frequency Division Multiplexing |
| title_sort | random frequency division multiplexing |
| topic | RFDM random matrix DNN MIMO |
| url | https://www.mdpi.com/1099-4300/27/1/9 |
| work_keys_str_mv | AT chanziliu randomfrequencydivisionmultiplexing AT jianjianwu randomfrequencydivisionmultiplexing AT qingfengzhou randomfrequencydivisionmultiplexing |