Comparison of Propagation Models Accuracy for WiMAX on 3.5 GHz

Milanovic, Josip; Rimac-Drlje, Snježana; Bejuk, Krunoslav

doi:10.1109/icecs.2007.4510943

Cited by 106 publications

(71 citation statements)

References 2 publications

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“…The values of these parameters (a 0 ,a 1 ,a 2 ,a 3 ) for different types of terrain are given in (Milanovic et al, 2007) and (Simic et al, 2001) as the following Table 1.…”

Section: Ericsson Modelmentioning

confidence: 99%

“…The network planning engineers are used a software provided by Ericsson company is called Ericsson model (Milanovic et al, 2007). This model also stands on the modified Okumura-Hata model to allow the room for changing in parameters according to the propagation environment.…”

Section: Ericsson Modelmentioning

confidence: 99%

“…Where: f = The frequency in MHz h r = The receiver antenna height in meters h b = The transmission antenna height in meters g(f) = Defined by the following equation (Milanovic et al, 2007) …”

Section: Ericsson Modelmentioning

confidence: 99%

“…This model also stands on the modified Okumura-Hata model to allow the room for changing in parameters according to the propagation environment. The path loss calculation of the Ericsson model is done by using the following equation (Milanovic et al, 2007) …”

Section: Ericsson Modelmentioning

confidence: 99%

See 3 more Smart Citations

Path Loss Measurements for Wireless Communication in Urban and Rural Environments

Zakaria¹,

Hošek²,

Misurec³

2015

American Journal of Engineering and Applied Sciences

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Path loss models are useful planning tools that allow the designers of wireless communication networks to achieve optimal levels for the base station deployment and meeting the expected service level requirements. In this study various propagation models (COST 231 Walfisch-Ikegami W-I, Ericsson and Stanford University Interim SUI) are analyzed and compared with the measurements. The measured data were taken in urban (high density region) and rural (low density region) environments at the operating frequency of 1700 MHz using the spectrum analyzer. As one of the key outputs, It was found that the calculations of SUI model fit with the measured data in urban environment.

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“…The values of these parameters (a 0 ,a 1 ,a 2 ,a 3 ) for different types of terrain are given in (Milanovic et al, 2007) and (Simic et al, 2001) as the following Table 1.…”

Section: Ericsson Modelmentioning

confidence: 99%

Section: Ericsson Modelmentioning

confidence: 99%

Section: Ericsson Modelmentioning

confidence: 99%

Section: Ericsson Modelmentioning

confidence: 99%

See 2 more Smart Citations

Path Loss Measurements for Wireless Communication in Urban and Rural Environments

Zakaria¹,

Hošek²,

Misurec³

2015

American Journal of Engineering and Applied Sciences

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show abstract

“…The constraints for the model were that it can be used for the base station antenna height from 10 m to 80 m, the receiving antenna height between 2 m and 10m and cell radius between 0.1km to 8 km. The basic expression for path loss calculation according to the SUI model is written as below:-PL = A + 10γ log 10 (d/d 0 ) +X f + X h + s for d> d 0, where d is the distance between the base station and the receiving antenna, Xf is a correction factor for frequency, Xh is the correction factor for receiver antenna height, and s is a correction for shadowing because of tree and clutter on a propagation path [7]. The parameter A is defined as follows-A = 20 log10 (4π d0/λ) Where, λ is the wavelength in meter.…”

Section: A Stanford University Interim Model (Sui Model)mentioning

confidence: 99%

CSP Algorithm In Predicting And Optimizing The Path Loss Of Wireless Empirical Propagation Models

Sah¹,

Kumar²

2009

IJCEE

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Abstract-Constraint satisfaction programming (CSP) is an emergent software technology for declarative description and effective solving of large particularly combinational problem especially in term of planning and scheduling. Constraint programming is the study of computational system based on constraints. The idea of constraint programming is to solve problem by stating constraints about the problem and consequently finding the solution satisfying all the constraints. In this paper the application of constraint satisfaction programming is used in predicting the path loss of various empirical propagation models using chronological backtrack algorithm, which is basic algorithm of CSP. After predicting the path loss at different set of parameter such as frequencies, height of base station antenna, range of cell etc, we find the optimum set of parameter (frequency (f), base station height (hb), mobile antenna height (hm), cell radius(r/d) at which path loss is minimum with the help of Branch and bound algorithms used to optimized the constraint satisfaction problems.

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Propagation Models for Wireless Network Planning

Kürner

Lostanlen

2012

LTE‐Advanced and Next Generation Wireless Networks

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Comparison of Propagation Models Accuracy for WiMAX on 3.5 GHz

Cited by 106 publications

References 2 publications

Path Loss Measurements for Wireless Communication in Urban and Rural Environments

Path Loss Measurements for Wireless Communication in Urban and Rural Environments

CSP Algorithm In Predicting And Optimizing The Path Loss Of Wireless Empirical Propagation Models

Propagation Models for Wireless Network Planning

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