Characterization of Propagation Models at 5G Network and Effects of SAR on Human Brain
Nowadays, the world is turning into technology, fast internet and high signal quality. To ensure high signal quality, the network planners have to predict the pathloss and signal strength of the transmitted signal at specific distances in the design stage. The aim of this research is to provide a ge...
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| Format: | Article |
| Language: | English |
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Polish Academy of Sciences
2022-06-01
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| Series: | International Journal of Electronics and Telecommunications |
| Subjects: | |
| Online Access: | https://journals.pan.pl/Content/123405/PDF/48-3297-Amri-sk-b-new.pdf |
| _version_ | 1811314559263178752 |
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| author | Nawal Al-Aamri Zia Nadir Mohammed Bait-Suwailam Hassan Al-Lawati |
| author_facet | Nawal Al-Aamri Zia Nadir Mohammed Bait-Suwailam Hassan Al-Lawati |
| author_sort | Nawal Al-Aamri |
| collection | DOAJ |
| description | Nowadays, the world is turning into technology, fast internet and high signal quality. To ensure high signal quality, the network planners have to predict the pathloss and signal strength of the transmitted signal at specific distances in the design stage. The aim of this research is to provide a generalized pathloss model to suit the urban area in Muscat Governorate in the Sultanate of Oman. The research covers 5G network pathloss in the Muttrah Business District (MBD) area. It includes Close In (CI) model and Alpha Beta Gamma (ABG) model with 3.45GHz. The results of 5G models were compared with real experimental data in MBD by calculating Root Mean Square Error RMSE. Other cells at MBD area were used for reverification. To validate the modified pathloss models of 5G, they were applied at different cells in Alkhoud area. Furthermore, this paper also deals the effect of Specific Absorption Rate (SAR) on the human brain for ensuring safety due to close proximity to cell towers. The SAR values were calculated indirectly from the electric field strength of different antennas. Calculated results were compared with the international standards defined limits on the human brain. |
| first_indexed | 2024-04-13T11:14:48Z |
| format | Article |
| id | doaj.art-d0f7e7363ad944b284bc6c1dc41548c1 |
| institution | Directory Open Access Journal |
| issn | 2081-8491 2300-1933 |
| language | English |
| last_indexed | 2024-04-13T11:14:48Z |
| publishDate | 2022-06-01 |
| publisher | Polish Academy of Sciences |
| record_format | Article |
| series | International Journal of Electronics and Telecommunications |
| spelling | doaj.art-d0f7e7363ad944b284bc6c1dc41548c12022-12-22T02:49:01ZengPolish Academy of SciencesInternational Journal of Electronics and Telecommunications2081-84912300-19332022-06-01vol. 68No 2343349https://doi.org/10.24425/ijet.2022.139888Characterization of Propagation Models at 5G Network and Effects of SAR on Human BrainNawal Al-Aamri0Zia Nadir1Mohammed Bait-Suwailam2Hassan Al-Lawati3ECE Dept. at College of Engineering at SQU, Muscat, Sultanate of OmanECE Dept. at College of Engineering at SQU, Muscat, Sultanate of OmanECE Dept. at College of Engineering at SQU, Muscat, Sultanate of OmanECE Dept. at College of Engineering at SQU, Muscat, Sultanate of OmanNowadays, the world is turning into technology, fast internet and high signal quality. To ensure high signal quality, the network planners have to predict the pathloss and signal strength of the transmitted signal at specific distances in the design stage. The aim of this research is to provide a generalized pathloss model to suit the urban area in Muscat Governorate in the Sultanate of Oman. The research covers 5G network pathloss in the Muttrah Business District (MBD) area. It includes Close In (CI) model and Alpha Beta Gamma (ABG) model with 3.45GHz. The results of 5G models were compared with real experimental data in MBD by calculating Root Mean Square Error RMSE. Other cells at MBD area were used for reverification. To validate the modified pathloss models of 5G, they were applied at different cells in Alkhoud area. Furthermore, this paper also deals the effect of Specific Absorption Rate (SAR) on the human brain for ensuring safety due to close proximity to cell towers. The SAR values were calculated indirectly from the electric field strength of different antennas. Calculated results were compared with the international standards defined limits on the human brain.https://journals.pan.pl/Content/123405/PDF/48-3297-Amri-sk-b-new.pdfpathlossprediction5grmseci modelabg modelsar |
| spellingShingle | Nawal Al-Aamri Zia Nadir Mohammed Bait-Suwailam Hassan Al-Lawati Characterization of Propagation Models at 5G Network and Effects of SAR on Human Brain International Journal of Electronics and Telecommunications pathloss prediction 5g rmse ci model abg model sar |
| title | Characterization of Propagation Models at 5G Network and Effects of SAR on Human Brain |
| title_full | Characterization of Propagation Models at 5G Network and Effects of SAR on Human Brain |
| title_fullStr | Characterization of Propagation Models at 5G Network and Effects of SAR on Human Brain |
| title_full_unstemmed | Characterization of Propagation Models at 5G Network and Effects of SAR on Human Brain |
| title_short | Characterization of Propagation Models at 5G Network and Effects of SAR on Human Brain |
| title_sort | characterization of propagation models at 5g network and effects of sar on human brain |
| topic | pathloss prediction 5g rmse ci model abg model sar |
| url | https://journals.pan.pl/Content/123405/PDF/48-3297-Amri-sk-b-new.pdf |
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