1995
DOI: 10.1109/35.339880
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Propagation measurements and models for wireless communications channels

Abstract: To achieve ubiquitous PCS, new and novel ways of classifying wireless environments will be needed that are both widely encompassing and reasonably compact. ireless personal communicationscouldinprincipleusesevera1 physical media, ranging from sound to radio to light. Since we want to overcome the limitations of acoustical communications, we shall concentrate on propagation of electromagnetic wavcs in the frequency range from some hundreds of MHz to a few GHz. Although thereisconsiderable interest atthe moment … Show more

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Cited by 665 publications
(352 citation statements)
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“…However, the study showed that propagation loss and signal strength levels were higher in locations with dense vegetation, high clusters of tree and sloppy topography. Studies have shown that diversity of radio wave signals caused by multi-path fading is sometimes more than 20dB [1]. Earlier researchers had also highlighted that path loss increases significantly when propagated from outdoor-to-indoor under the frequency range of 455MHz -4.2 GHz [2].…”
Section: Resultsmentioning
confidence: 99%
“…However, the study showed that propagation loss and signal strength levels were higher in locations with dense vegetation, high clusters of tree and sloppy topography. Studies have shown that diversity of radio wave signals caused by multi-path fading is sometimes more than 20dB [1]. Earlier researchers had also highlighted that path loss increases significantly when propagated from outdoor-to-indoor under the frequency range of 455MHz -4.2 GHz [2].…”
Section: Resultsmentioning
confidence: 99%
“…Therefore, if transmitter antennas are mounted below rooftops, dominant propagation effects are expected from reflection and diffraction into street canyons. See Figure 8(b) for an illustration, more details can be found in Andersen et al (1995). Furthermore, an urban low-rise scenario is characterized by wide streets and buildings with less than three floors.…”
Section: Overviewmentioning
confidence: 99%
“…This model is based on the assumption that the distribution of noise conforms to a Gaussian distribution. The log-distance path loss model is a signal propagation model that describes this assumption as well [1].…”
Section: Reconstructionmentioning
confidence: 99%