Comparison and Fine Tuning Empirical Pathloss Models at 1800MHZ and 2100MHZ Bands for Addis Ababa, Ethiopia
| dc.contributor.advisor | Dereje, Hailemariam (PhD) | |
| dc.contributor.author | Esayas, Andarge | |
| dc.date.accessioned | 2018-12-21T08:59:12Z | |
| dc.date.accessioned | 2023-11-04T15:13:15Z | |
| dc.date.available | 2018-12-21T08:59:12Z | |
| dc.date.available | 2023-11-04T15:13:15Z | |
| dc.date.issued | 2018-10 | |
| dc.description.abstract | Pathloss models play a very important role in wireless communications in coverage planning, interference estimations, frequency assignments, Location Based Services (LBS), etc. They are used to estimate the average pathloss a signal experience at a particular distance from a transmitter. Inaccurate propagation models may result in poor coverage, poor quality of service or high investment cost. Both second generation (2G) and third generation (3G) networks in the city of Addis Ababa (AA), Ethiopia, have problems like poor coverage, low data throughput, call drops and others. One of the root causes of these problems is the use of untuned pathloss model during network planning. So, it is mandatory for the operators to select the best fit pathloss model and tune it according to the specific situation the pathloss model is used. This thesis compares three pathloss models; namely, COST231, ECC-33 and SUI and tunes the one that performs best in the specific area type. At 1800MHZ band, COST231 was best in estimating the measured path loss in urban areas with a Root Mean Squared Error (RMSE) of 3.27dB before tuning and the RMSE could improve to 3.25dB after tuning. COST231 was also best in suburban areas with an RMSE of 5.27dB. Tuning the model could improve the RMSE to 4.18dB. SUI was best in open areas. It has an RMSE value of 6.0dB before tuning. Tuning has improved the RMSE value to 4.91dB. At 2100MHZ, 25 sites are used to collect path loss data. Similar analysis was done in the three path loss models. Based on the analysis, SUI is found to be best in predicting the path loss for all the three morphology types. Although ECC-33 was equally competent for urban area sites, SUI could predict the path loss better for the overall all average measured path loss with an RMSE of 4.27dB. Tuning the model could improve the RMSE to 2.23dB. The measured path loss for suburban areas could also be better predicted by SUI with an RMSE value of 5.75dB before tuning and 2.57dB after tuning. Path loss in open areas can also be better predicted by SUI. It has an RMSE value of 6.53dB before tuning. An improvement in RMSE to 3.38dB could be achieved after tuning. | en_US |
| dc.identifier.uri | http://etd.aau.edu.et/handle/123456789/15232 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | AAU | en_US |
| dc.subject | Path loss | en_US |
| dc.subject | tuning | en_US |
| dc.subject | prediction | en_US |
| dc.subject | modelling | en_US |
| dc.subject | error | en_US |
| dc.subject | urban | en_US |
| dc.subject | suburban | en_US |
| dc.title | Comparison and Fine Tuning Empirical Pathloss Models at 1800MHZ and 2100MHZ Bands for Addis Ababa, Ethiopia | en_US |
| dc.type | Thesis | en_US |