Time Reduction for SLM OFDM PAPR Based on Adaptive Genetic Algorithm in 5G IoT Networks
In this paper, a new peak average power and time reduction (PAPTR) based on the adaptive genetic algorithm (AGA) strategy is used in order to improve both the time reduction and PAPR value reduction for the SLM OFDM and the conventional genetic algorithm (GA) SLM-OFDM. The simulation results demonst...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-11-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/23/23/9310 |
| _version_ | 1827592016724230144 |
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| author | Esam A. A. Hagras Sameh F. Desouky Saad Aldosary Haitham Khaled Tarek M. Hassan |
| author_facet | Esam A. A. Hagras Sameh F. Desouky Saad Aldosary Haitham Khaled Tarek M. Hassan |
| author_sort | Esam A. A. Hagras |
| collection | DOAJ |
| description | In this paper, a new peak average power and time reduction (PAPTR) based on the adaptive genetic algorithm (AGA) strategy is used in order to improve both the time reduction and PAPR value reduction for the SLM OFDM and the conventional genetic algorithm (GA) SLM-OFDM. The simulation results demonstrate that the recommended AGA technique reduces PAPR by about 3.87 dB in comparison to SLM-OFDM. Comparing the suggested AGA SLM-OFDM to the traditional GA SLM-OFDM using the same settings, a significant learning time reduction of roughly 95.56% is achieved. The PAPR of the proposed AGA SLM-OFDM is enhanced by around 3.87 dB in comparison to traditional OFDM. Also, the PAPR of the proposed AGA SLM-OFDM is roughly 0.12 dB worse than that of the conventional GA SLM-OFDM. |
| first_indexed | 2024-03-09T01:42:46Z |
| format | Article |
| id | doaj.art-1e38ca99a5e64257bc7f9322a08af695 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T01:42:46Z |
| publishDate | 2023-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-1e38ca99a5e64257bc7f9322a08af6952023-12-08T15:25:21ZengMDPI AGSensors1424-82202023-11-012323931010.3390/s23239310Time Reduction for SLM OFDM PAPR Based on Adaptive Genetic Algorithm in 5G IoT NetworksEsam A. A. Hagras0Sameh F. Desouky1Saad Aldosary2Haitham Khaled3Tarek M. Hassan4Faculty of Engineering, Delta University for Science and Technology, Gamasa 35712, EgyptIndependent Researcher, Ottawa, ON K1S 5B6, CanadaDepartment of Computer Science, Community College, King Saud University, Riyadh 11437, Saudi ArabiaDepartment of Electronics and Communications, School of Engineering, Edith Cowan University, Perth, WA 6027, AustraliaFaculty of Engineering, Delta University for Science and Technology, Gamasa 35712, EgyptIn this paper, a new peak average power and time reduction (PAPTR) based on the adaptive genetic algorithm (AGA) strategy is used in order to improve both the time reduction and PAPR value reduction for the SLM OFDM and the conventional genetic algorithm (GA) SLM-OFDM. The simulation results demonstrate that the recommended AGA technique reduces PAPR by about 3.87 dB in comparison to SLM-OFDM. Comparing the suggested AGA SLM-OFDM to the traditional GA SLM-OFDM using the same settings, a significant learning time reduction of roughly 95.56% is achieved. The PAPR of the proposed AGA SLM-OFDM is enhanced by around 3.87 dB in comparison to traditional OFDM. Also, the PAPR of the proposed AGA SLM-OFDM is roughly 0.12 dB worse than that of the conventional GA SLM-OFDM.https://www.mdpi.com/1424-8220/23/23/9310adaptive genetic algorithmselected mappingpeak-to-average power ratio |
| spellingShingle | Esam A. A. Hagras Sameh F. Desouky Saad Aldosary Haitham Khaled Tarek M. Hassan Time Reduction for SLM OFDM PAPR Based on Adaptive Genetic Algorithm in 5G IoT Networks Sensors adaptive genetic algorithm selected mapping peak-to-average power ratio |
| title | Time Reduction for SLM OFDM PAPR Based on Adaptive Genetic Algorithm in 5G IoT Networks |
| title_full | Time Reduction for SLM OFDM PAPR Based on Adaptive Genetic Algorithm in 5G IoT Networks |
| title_fullStr | Time Reduction for SLM OFDM PAPR Based on Adaptive Genetic Algorithm in 5G IoT Networks |
| title_full_unstemmed | Time Reduction for SLM OFDM PAPR Based on Adaptive Genetic Algorithm in 5G IoT Networks |
| title_short | Time Reduction for SLM OFDM PAPR Based on Adaptive Genetic Algorithm in 5G IoT Networks |
| title_sort | time reduction for slm ofdm papr based on adaptive genetic algorithm in 5g iot networks |
| topic | adaptive genetic algorithm selected mapping peak-to-average power ratio |
| url | https://www.mdpi.com/1424-8220/23/23/9310 |
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