Outdoor-to-Indoor Propagation at sub-6 GHz band: Measurements and Analysis in Multi-Storey Environment

Arana, Kelvin; Morales, Luis E.; Arias, Marvin R.

doi:10.1109/latincom50620.2020.9282337

Cited by 2 publications

(1 citation statement)

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“…Measurement of path loss is done using own antennas placed on the sidewalk. The study (K. Arana, 2020) aimed to determine the characteristics of path loss in multi-story buildings. Measurement of path loss has been performed at 6 GHz.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the selection of propagation models from outside into the building at 1800 MHz and 2100 MHz

Sihombing

Pinem

Rezkika

2021

SinkrOn

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Wireless internet service in educational buildings plays a crucial role in telecommunications for the knowledge sharing process. Therefore, various factors that may limit internet services coverage in the building should be eliminated or reduced. One such factor is path losses. Path losses are caused by multiple obstacles between the transmitting and receiving antennas. The problem of path losses in the education building can be solved by providing signal booster devices or Wireless Fidelity (Wi-Fi). But not all college buildings have such tools. Besides, WiFi devices also have limitations on bandwidth and the number of users. Thus, mobile communication devices or smartphones located inside the education buildings still need internet service coverage from the transmitter antenna outside the building. An accurate propagation model is required so that the transmitter antenna outside the building can provide internet service coverage to the inside of the building. This paper had been analyzed the selection of propagation models using three validation formulas, namely Mean Error (ME), Root Mean Square Error (RMSE), and Standard Deviation Error (SDE). This paper used several propagation models, namely the 3GPP Model, Winner+ Model, and COST231 Model. Based on the analysis of calculation and measurement data, it is known that the COST231 model is the most accurate because it has the lowest ME, RMSE, and SDE values.

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Section: Introductionmentioning

confidence: 99%