2005
DOI: 10.1002/mop.21321
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An empirical model for propagation‐loss prediction in indoor mobile communications using the Padé approximant

Abstract: This paper presents a new model for propagation‐loss prediction in indoor mobile communications. It uses the free‐space loss model added to an empiric function (based on the Padé approximant), and a term that describes the signal randomness (typical of the RF propagation). In order to validate this model, a measurement verification was accomplished for a typical five‐floor building of a university. The loss predicted by this model had a mean error of 4.78 dB and a standard deviation of 6.05 dB in relation to t… Show more

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Cited by 14 publications
(11 citation statements)
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“…In the original model [12], n p , as mentioned before, represents the number of walls and floors intersected. In this paper, however, this parameter is related not only to the number of floors and walls, but also to the loss in each one of the obstacles.…”
Section: A Padé Approximant Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…In the original model [12], n p , as mentioned before, represents the number of walls and floors intersected. In this paper, however, this parameter is related not only to the number of floors and walls, but also to the loss in each one of the obstacles.…”
Section: A Padé Approximant Modelmentioning
confidence: 99%
“…With the expanded data and considering the minimal reception power of -76dBm (according to the IEEE standard for 802.11g [11]), a reception probability was calculated in each point of the building. In order to achieve more precise values, an adapted propagation model was used [12] that considers the presence and the loss of each obstacle intersected by the signal. It was used the attenuation factor model [4], [6] for comparison with the model presented.…”
Section: Introductionmentioning
confidence: 99%
“…Padè approximant [10] is obtained from Equation (2) (2) a and b are adjustment parameters, represents the loss of walls/floors between Tx and the reception point [9].…”
Section: A Applied Modelmentioning
confidence: 99%
“…The executed simulations calculate the probability of reception of a signal and the path loss from the propagation model proposed in [9]. This work is divided into 6 sections.…”
Section: Introductionmentioning
confidence: 99%
“…Research into the Radio Frequency (RF) propagation in buildings has increased in recent years due to the ever increasing demand for high data rates in both cellular and WIFI applications, [1][2][3][4][5]. For many of these applications the aim is to increase data throughput and generally enhance system performance.…”
Section: Introductionmentioning
confidence: 99%