Machine learning-enhanced 3GPP channel modeling for 5G networks: A vendor-calibrated framework with cross-scenario validation.
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| Title: | Machine learning-enhanced 3GPP channel modeling for 5G networks: A vendor-calibrated framework with cross-scenario validation. |
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| Authors: | Sagor MIK; Department of Electrical and Electronics Engineering, Faridpur Engineering College, Char Kamlapur, Faridpur, Bangladesh., Rahman MZ; Department of Electrical and Electronics Engineering, Faridpur Engineering College, Char Kamlapur, Faridpur, Bangladesh., Mandal P; Department of Electrical and Electronics Engineering, Faridpur Engineering College, Char Kamlapur, Faridpur, Bangladesh. |
| Source: | PloS one [PLoS One] 2026 Jul 15; Vol. 21 (7), pp. e0353163. Date of Electronic Publication: 2026 Jul 15 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0353163 |
