1.25 GHz path loss prediction models for multifloored buildings

Ismail Fauzi Isnin; Martin Tomlinson; Mohammed Zaki Ahmed; Marcel Ambroze

doi:10.1117/12.817738

1 May 2009 1.25 GHz path loss prediction models for multifloored buildings

Ismail Fauzi Isnin, Martin Tomlinson, Mohammed Zaki Ahmed, Marcel Ambroze

Proceedings Volume 7349, Wireless Sensing and Processing IV; 734908 (2009) https://doi.org/10.1117/12.817738
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

Abstract

In this paper, parameter statistics of path loss prediction models are presented for 1.25 GHz within multifloored buildings. Parameters are extracted from analyzed data which was collected from measurements within three buildings. Buildings were chosen with specific considerations such as building footprint shapes and internal design.For the consideration of building footprint, a building having rectangular footprint and a building having square footprint were chosen. Because of its internal design, the third building was chosen to represent buildings with an atrium. Results show that, buildings with square footprint caused higher path loss compared to rectangular footprint buildings. It is also found that, buildings with an atrium have the lowest path loss exponent and lowest floor attenuation factor among other considered buildings. A model for path loss prediction is proposed for multifloor buildings with its internal design allows lineof- sight (LOS) and non line-of-sight (NLOS), even though transmitter and receiver are not on the same floor. The model takes into consideration the factor of transmission type, whether it is LOS or NLOS. The proposed model has reduced the standard deviation of error prediction, which indicates better prediction accuracy is achieved.

Citation Download Citation

Ismail Fauzi Isnin, Martin Tomlinson, Mohammed Zaki Ahmed, and Marcel Ambroze "1.25 GHz path loss prediction models for multifloored buildings", Proc. SPIE 7349, Wireless Sensing and Processing IV, 734908 (1 May 2009); https://doi.org/10.1117/12.817738

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