Simulation and performance evaluation of GSM propagation channel under the urban, suburban and rural environments

Nimavat, Vishal D.; Kulkarni, G.R.

doi:10.1109/iccict.2012.6398137

Cited by 12 publications

(4 citation statements)

References 7 publications

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“…Where PLfs is free space path loss given by equation 5, Amn(f,d) is the median attenuation relative to free space, Garea is the gain due to the type of environment. G(hb) and G(hm) are the antenna height gain factor for Node B and Mobile Station respectively [16]. Here the equation of FSPL is used with addition and subtraction of some correction factors.…”

Section: Okumura Modelmentioning

confidence: 99%

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Capacity Dimensioning of HSDPA Urban Network

Saeed¹,

Khan

Shah

et al. 2022

Int. j. commun. netw. inf. secur.

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To launch a cellular network, prelaunch capacity dimensioning is performed which includes coverage estimation and throughput prediction. Cellular companies in developing countries like Pakistan are only providing 2G services, while 3G services are yet to be launched. Although a lot of research has been done on 3G services in developed countries but there is very little knowledge regarding practical aspects of planning and optimization of 3G networks in third world countries like Pakistan. This research paper includes a thorough analysis of factors that affect capacity of 3G networks, including radio propagation models. Various propagation models are studied and propagation constants of Standard Propagation Model are tuned according to topography of Islamabad. The performance analysis of these propagation models is done using Matlab and results are verified through planning tool Atoll and field measurements. Based on analysis of these results capacity dimensioning, in terms of number of sites, is carried out for an urban network of Islamabad.

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Section: Okumura Modelmentioning

confidence: 99%

“…This is modified version of Okumura Hata model and has some more parameters that can be tuned. The path loss equation is as follows [16,18]. [10,20].…”

Section: Ericsson Modelmentioning

confidence: 99%

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Capacity Dimensioning of HSDPA Urban Network

Saeed¹,

Khan

Shah

et al. 2022

Int. j. commun. netw. inf. secur.

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“…Despite all the research works existing in the literature, to the best of author's knowledge, there is no unified propagation model targeted to smart city applications. In contrast to cellular radio technologies, where the transmitter is placed typically above the building's rooftop and receiver above 1 m [2][3][4][5][6][7][8][9], in smart city scenarios either the transmitter or the receiver node can be easily positioned near ground. Since the node location is crucial for a proper communication, we provide, analyse and validate in this paper a unified empiric propagation model oriented to typical smart city communication scenarios.…”

Section: Introductionmentioning

confidence: 99%

Generic empiric propagation model for low power wireless networks operating at the 868 MHz band in smart cities

Angles-Vazquez

Vilajosana-Guillèn

López-Vicario

et al. 2014

IET Microwaves, Antennas & Propagation

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The tremendous growth of low power wireless technologies oriented to smart city applications has conduced to evaluate the propagation aspects under typical communication scenarios in urban environments where in contrast to cellular technologies the transmitter and or the receiver antenna can be deployed at different heights near ground. Thus, the authors introduce a unified empiric parametrised propagation model with validated parameters from the measurements to study the propagation characteristics in near‐ground scenarios. The proposed model considers the antenna's height as well as external power losses because of objects that may block the line‐of‐sight to the receiver. The main results of this research demonstrate that in near‐ground wireless links, the wireless range is severely reduced because of diffraction caused by ground. However, in scenarios where the receiver is always higher than the transmitter the diffraction is null and the path loss slope is less than free space, with the consequence of a considerably higher wireless range. The propagation model presented here is a valuable tool for network planning where typical cellular propagation models might not be appropriate.

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Support Vector Machine for Path Loss Predictions in Urban Environment

Abolade

Famakinde

Popoola

et al. 2020

Lecture Notes in Computer Science

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Path Loss (PL) propagation models are important for accurate radio network design and planning. In this paper, we propose a new radio propagation model for PL predictions in urban environment using Support Vector Machine (SVM). Field measurement campaigns are conducted in urban environment to obtain mobile network and path loss information of radio signals transmitted at 900, 1800 and 2100 MHz frequencies. SVM model is trained with field measurement data to predict path loss in urban propagation environment. Performance of SVM model is evaluated using Mean Absolute Error (MAE), Mean Square Error (MSE), Root Mean Square Error (RMSE) and Standard Error Deviation (SED). Results show that SVM achieve MAE, MSE, RMSE and SED of 7.953 dB, 99.966 dB, 9.998 dB and 9.940 dB respectively. SVM model outperforms existing empirical models (Okumura-Hata, COST 231, ECC-33 and Egli) with relatively low prediction error.

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Simulation and performance evaluation of GSM propagation channel under the urban, suburban and rural environments

Cited by 12 publications

References 7 publications

Capacity Dimensioning of HSDPA Urban Network

Capacity Dimensioning of HSDPA Urban Network

Generic empiric propagation model for low power wireless networks operating at the 868 MHz band in smart cities

Support Vector Machine for Path Loss Predictions in Urban Environment

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