Experimental Evaluation of Data-driven Signal Level Estimation in Cellular Networks
| Autor: | Lechuga, Melisa Maria Lopez, Sørensen, Troels Bundgaard, Kovács, Istvan, Wigard, Jeroen, E. Mogensen, Preben |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | Lechuga, M M L, Sørensen, T B, Kovács, I, Wigard, J & E. Mogensen, P 2021, Experimental Evaluation of Data-driven Signal Level Estimation in Cellular Networks . in 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall) ., 9625559, IEEE, IEEE Vehicular Technology Conference. Proceedings, 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall), Norman, Oklahoma, United States, 27/09/2021 . https://doi.org/10.1109/VTC2021-Fall52928.2021.9625559 |
| DOI: | 10.1109/VTC2021-Fall52928.2021.9625559 |
| Popis: | Estimating accurately the signal levels that a user equipment experiences along a movement route is a key step in the process of providing and guaranteeing the required service quality. Obtaining accurate location-specific estimations of the signal level is challenging due to its random variations. In this paper we investigate the use of aggregated measurements from multiple User Equipments (UE) to estimate the serving Reference Signal Received Power (RSRP) that the user will experience along a route. We use LTE measurements obtained in rural and urban areas from drive tests and analyze the dependence of data variability. Results show that the accuracy of data-driven estimation is impacted significantly by the variability in the underlying data due to UE orientation, UE characteristics and their immediate environment. With compensation for a subset of these effects the standard deviation of the estimation error can be lowered from an overall approximately 8 dB down to 4dB. |
| Databáze: | OpenAIRE |
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