Mobile radio propagation along mixed paths in forest environment

Cavalcante, Gervásio P. S.; Sanches, Mário A. R.; Oliveira, R. A. N.

doi:10.1109/imoc.1999.867119

Cited by 13 publications

(4 citation statements)

References 7 publications

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“…Moreover, abrupt discontinuity in the forest causes diffraction and the whole forest slab can be replaced by an absorbing knife screen at the forest edge [15]; hence, in this work, the forest slabs are replaced by absorbing knife screens similarly as the buildings are treated in the flat edge model [12], with the exception of the final forest slab if the receiver is in forest. Path profile between the transmitter and the receiver is determined by adding terrain and clutter height, obtained from the DEM and clutter maps.…”

Section: A Propagation Model For the Trendmentioning

confidence: 99%

Optimal field measurement design for radio environment mapping

Ojaniemi

Kalliovaara

Alam

et al. 2013

2013 47th Annual Conference on Information Sciences and Systems (CISS)

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White spaces are locally or temporally available frequencies that are principally reserved for primary use such as TV broadcasting. The currently prevalent view to the utilization of such spectrum resources is that white space devices must query a geolocation database to obtain information about available frequencies and related maximum transmission powers. A geolocation database is fundamentally based on field strength estimates of the primary service obtained using radio propagation models. However, field strength estimates for geographically extensive broadcast networks are typically computed for spatial resolutions of hundreds of square meters. Therefore, even with the most sophisticated propagation models currently available, the predicted values always contain errors due to the limited geographical information. To overcome such deficiency, we propose a geostatistical approach for estimating the radio environment based on universal kriging interpolation. In addition, we optimize the locations of field measurements using spatial simulated annealing, and show that it improves significantly local field strength estimates.

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Section: A Propagation Model For the Trendmentioning

confidence: 99%

Optimal field measurement design for radio environment mapping

Ojaniemi

Kalliovaara

Alam

et al. 2013

2013 47th Annual Conference on Information Sciences and Systems (CISS)

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“…The first is located in point A and the second in point B associated with the first and second discontinuity of the forest, respectively. Also, it is showed the situation where only two rays are considered as the most important components of the received field [10].…”

Section: Multirays's Modelmentioning

confidence: 99%

Mobile radio propagation along mixed paths in forest environment using parabolic equation

Souza

Magno

Valente

et al. 2009

Micro & Optical Tech Letters

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This paper calculates the propagation loss in mixed-path mobile communication using parabolic equation method. The implicit finite differences scheme of the Crank-Nicolson type is applied in order to get the solution of the parabolic equation. The propagation is considered in 15 0 in the direction paraxial and the complex refractive index was considered what increases its precision. To validate the method, a radio propagation measurement campaign was carried out, in the county of Benfica, near the city of Belém, State of Pará. The frequency used was 900 MHz. The results were compared to the simulations made with the proposed method, which presented the best performance comparing to others works in literature. The loss predicted by this method had a mean error of 3.40 dB and standard deviation of 2.75 dB in relation to the measured data.

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“…For a mixed city-forest path, [20,21] address mobile services, where the loss caused by obstacles around the receiver is calculated using knife-edge diffraction. Furthermore, the loss caused by a forest can be taken as in ITU-R Recommendation P.833 [22], which gives an attenuation factor for the type of forest of some countries, including Brazil, but it does not apply to the Amazon region.…”

Section: Introductionmentioning

confidence: 99%

A Radio Propagation Model for Mixed Paths in Amazon Environments for the UHF Band

Eras

Silva

Barros

et al. 2018

Wireless Communications and Mobile Computing

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This paper presents a radio propagation model for the UHF band that is designed for an outdoor scenario in the Amazon region of Brazil and comprises city, water, and forest environments. The model is designed for the Mobile and Home Digital Television (M-DTV and H-DTV) services. In the case of M-DTV, the electric field is calculated at user height, while for H-DTV it considers a fixed antenna on houses roofs. The field calculation is based on Geometrical Optics (GO) and the Uniform Theory of Diffraction (UTD). The results for M-DTV show a good agreement with measurement data in an Amazonian city (Belém) for 521 MHz. Different parameters of the proposed model are analyzed: the transition zone city-water, the level of water, the incidence angle in the forest, and electrical parameters for forest. Finally, the comparison that was made between the electric fields for H-DTV and M-DTV shows a difference of up to 19 dB.

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Mobile radio propagation along mixed paths in forest environment

Cited by 13 publications

References 7 publications

Optimal field measurement design for radio environment mapping

Optimal field measurement design for radio environment mapping

Mobile radio propagation along mixed paths in forest environment using parabolic equation

A Radio Propagation Model for Mixed Paths in Amazon Environments for the UHF Band

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