Publication: MmWave Path loss Prediction Model Using Grey System Theory for Urban Areas
| dc.contributor.author | Supachai Phaiboon | en_US |
| dc.contributor.author | Pisit Phokharatkul | en_US |
| dc.contributor.other | Kasem Bundit University | en_US |
| dc.contributor.other | Mahidol University | en_US |
| dc.date.accessioned | 2021-02-03T06:21:28Z | |
| dc.date.available | 2021-02-03T06:21:28Z | |
| dc.date.issued | 2020-11-18 | en_US |
| dc.description.abstract | © 2020 IEEE. This paper presents path loss prediction for 5G millimeter wave (mmWave) using grey model. The grey system theory is a computational method and used for an empirical model. The proposed model consists of a distance variable input and a path loss variable output. The path loss model was trained with measured path loss data at frequencies of 28 GHz. The proposed model is compared with four 5G empirical models, namely 5GCM, 3GPP, METIS and mmMAGIC. The results show that the single proposed model provide the prediction both LOS and NLOS with minimum MAE. | en_US |
| dc.identifier.citation | Proceeding - 2020 International Conference on Radar, Antenna, Microwave, Electronics and Telecommunications, ICRAMET 2020. (2020), 78-80 | en_US |
| dc.identifier.doi | 10.1109/ICRAMET51080.2020.9298608 | en_US |
| dc.identifier.other | 2-s2.0-85099363142 | en_US |
| dc.identifier.uri | https://repository.li.mahidol.ac.th/handle/20.500.14594/60900 | |
| dc.rights | Mahidol University | en_US |
| dc.rights.holder | SCOPUS | en_US |
| dc.source.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85099363142&origin=inward | en_US |
| dc.subject | Computer Science | en_US |
| dc.subject | Engineering | en_US |
| dc.title | MmWave Path loss Prediction Model Using Grey System Theory for Urban Areas | en_US |
| dc.type | Conference Paper | en_US |
| dspace.entity.type | Publication | |
| mu.datasource.scopus | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85099363142&origin=inward | en_US |