Modelling of Shadowing Loss Due to Huge Non-Polygonal Structures in Urban Radio Propagation

Kara, Ali; Yazgan, Erdem

doi:10.2528/pierb08031209

Cited by 11 publications

(9 citation statements)

References 12 publications

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“…For this reason, for distances smaller than d BR the attenuation slope is 20 dB/decade whereas for distances greater than d BR the attenuation slope is 35 dB/decade. The model can also take into account the shadow fading (SF) coefficient to compensate for the signal fast fading (see also [26][27][28][29]). Parameters for the pathloss model are presented in Table 1.…”

Section: The Original Wlan Tgn Channel Modelmentioning

confidence: 99%

Measurement Evaluation of the TGN Radio Channel Models Usefulness in Predicting Wlan Performance

Staniec¹,

Kowal²

2013

PIER

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Abstract-The purpose of this paper is to discuss the applicability of the TGn radio channel models in estimating the performance of WLAN transmission. The specificity of the indoor radiowave propagation is first discussed, then TGn models are introduced together with a deterministic propagation model created by the authors for predicting the radio channel higher-order parameters. Intensive WLAN measurements have been carried out in two representative propagation environments and compared to theoretical predictions obtained in four configurations: beginning with the original TGN channel models, then enhancing them by including deterministically simulated pathloss and impulse responses and eventually by generating the channel impulse response on a purely random basis. The obtained results should indicate how accurately the general TGn channel models match measurements in real environments and how they compare to proposed successive modifications.

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Section: The Original Wlan Tgn Channel Modelmentioning

confidence: 99%

Measurement Evaluation of the TGN Radio Channel Models Usefulness in Predicting Wlan Performance

Staniec¹,

Kowal²

2013

PIER

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“…The prediction of microwave attenuation [22][23][24][25][26][27][28][29][30][31][32][33] is important in the analysis of wireless systems. Signal propagation is strongly affected by the dissipation of the power radiated by the transmitter that is related to the distance between the communicating nodes.…”

Section: An Application In Radio Wave Propagationmentioning

confidence: 99%

A Geometric Method for Computing the Nodal Distance Distribution in Mobile Networks

Baltzis

2011

PIER

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Abstract-This paper presents a geometrically based method for the calculation of the node-to-node distance distribution function in circular-shaped networks. In our approach, this function is obtained from the intersection volume of a sphere and an ellipsoid. The method is valid for both overlapping and non-overlapping networks. Simulation results and comparisons with methods in the literature demonstrate the efficacy of the approach. The relation between networks geometric parameters and distance statistics is explored. As an application example, we model distance-dependent path loss and investigate the impact of channel characteristics and networks size on signal absorption. The aforementioned model is a useful and lowcomplexity tool for system-level modeling and simulation of mobile communication systems.

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“…However, there are other kinds of obstacles in the radio links that must be modeled by stochastic procedures [4]. Such obstacles may be persons [5], furniture [6], vegetation [7], or in general non-polygonal structures [8]. All these obstructions can mitigate the received power in a radio link, or even they could break the connection.…”

Section: Introductionmentioning

confidence: 99%

Wireless Networks Interference and Security Protection by Means of Vegetation Barriers

Acuña¹,

Cuiñas

GÃ3mez³

2011

PIER M

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Abstract-The success of wireless technologies could paradoxically leads to a collapse in their performance: the interference between adjacent networks and the attacks done by users from outside the expected coverage limits are two important enemies to the well function of the networks. The proposal of this paper is simple but efficient: the use of vegetation barriers to create shadowing areas with excess attenuations in the edge of the service area, in order to reduce the coverage distance of each wireless node, reducing the possible interference to other networks as well as improving security aspects by minimizing the signal strength outside the service area.

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Modelling of Shadowing Loss Due to Huge Non-Polygonal Structures in Urban Radio Propagation

Cited by 11 publications

References 12 publications

Measurement Evaluation of the TGN Radio Channel Models Usefulness in Predicting Wlan Performance

Measurement Evaluation of the TGN Radio Channel Models Usefulness in Predicting Wlan Performance

A Geometric Method for Computing the Nodal Distance Distribution in Mobile Networks

Wireless Networks Interference and Security Protection by Means of Vegetation Barriers

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