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Wyświetlanie 1-6 z 6
Tytuł:
Characterization of Propagation Models in Wireless Communications for 4G Network
Autorzy:
Al-Aamri, Nawal
Nadir, Zia
Al-Lawati, Hassan
Suwailam, Mohammed Bait
Powiązania:
https://bibliotekanauki.pl/articles/2055256.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
path loss model
prediction
4G
RMSE
Opis:
Estimating the pathloss and signal strength of the transmitted signal at specific distances is one of the main objectives of network designers. This paper aims to provide generalized pathloss models appropriate for urban areas in Muscat the capital city of the Sultanate of Oman environment. The research includes studying different models of pathloss for the 4G cellular network at Muttrah Business District (MBD) at Muscat. Different models (Free Space model, Okumura Hata, Extended Sakagami, Cost231 Hata, ECC-33 Hata – Okumura extended, Ericsson, Egli, and SUI) are used with 800MHz. The results of the prediction models are compared with real measured data by calculating RMSE. The generalized models are created by modified original models to get accepted RMSE values. Different cells at MBD are tested by modified models. The RMSE values are then calculated for verification purposes. To validate the modified pathloss models of 4G, they are also applied at different cells in a different city in the capital. It has approximately the same environment as MBD. The modified pathloss models provided accepted predictions in new locations.
Źródło:
International Journal of Electronics and Telecommunications; 2022, 68, 1; 137--143
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Characterization of Propagation Models at 5G Network and Effects of SAR on Human Brain
Autorzy:
Al-Aamri, Nawal
Nadir, Zia
Bait-Suwailam, Mohammed
Al-Lawati, Hassan
Powiązania:
https://bibliotekanauki.pl/articles/2074140.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
pathloss
prediction
5G
RMSE
CI model
ABG model
SAR
Opis:
Nowadays, the world is turning into technology, fast internet and high signal quality. To ensure high signal quality, the network planners have to predict the pathloss and signal strength of the transmitted signal at specific distances in the design stage. The aim of this research is to provide a generalized pathloss model to suit the urban area in Muscat Governorate in the Sultanate of Oman. The research covers 5G network pathloss in the Muttrah Business District (MBD) area. It includes Close In (CI) model and Alpha Beta Gamma (ABG) model with 3.45GHz. The results of 5G models were compared with real experimental data in MBD by calculating Root Mean Square Error RMSE. Other cells at MBD area were used for reverification. To validate the modified pathloss models of 5G, they were applied at different cells in Alkhoud area. Furthermore, this paper also deals the effect of Specific Absorption Rate (SAR) on the human brain for ensuring safety due to close proximity to cell towers. The SAR values were calculated indirectly from the electric field strength of different antennas. Calculated results were compared with the international standards defined limits on the human brain.
Źródło:
International Journal of Electronics and Telecommunications; 2022, 68, 2; 343--349
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Accurate Frequency Estimation Based On Three-Parameter Sine-Fitting With Three FFT Samples
Autorzy:
Liu, X.
Ren, Y.
Chu, C.
Fang, W.
Powiązania:
https://bibliotekanauki.pl/articles/220451.pdf
Data publikacji:
2015
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
frequency estimation
CRLB
three-parameter sine-fitting
RMSE
golden section
Opis:
This paper presents a simple DFT-based golden section searching algorithm (DGSSA) for the single tone frequency estimation. Because of truncation and discreteness in signal samples, Fast Fourier Transform (FFT) and Discrete Fourier Transform (DFT) are inevitable to cause the spectrum leakage and fence effect which lead to a low estimation accuracy. This method can improve the estimation accuracy under conditions of a low signal-to-noise ratio (SNR) and a low resolution. This method firstly uses three FFT samples to determine the frequency searching scope, then – besides the frequency – the estimated values of amplitude, phase and dc component are obtained by minimizing the least square (LS) fitting error of three-parameter sine fitting. By setting reasonable stop conditions or the number of iterations, the accurate frequency estimation can be realized. The accuracy of this method, when applied to observed single-tone sinusoid samples corrupted by white Gaussian noise, is investigated by different methods with respect to the unbiased Cramer-Rao Low Bound (CRLB). The simulation results show that the root mean square error (RMSE) of the frequency estimation curve is consistent with the tendency of CRLB as SNR increases, even in the case of a small number of samples. The average RMSE of the frequency estimation is less than 1.5 times the CRLB with SNR = 20 dB and N = 512.
Źródło:
Metrology and Measurement Systems; 2015, 22, 3; 403-416
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Node Localization based on Anchor Placement using Fuzzy C-Means in a Wireless Sensor Network
Autorzy:
Irid, Sidi Mohammed Hadj
Hadjila, Mourad
Hachemi, Mohammed Hicham
Souiki, Sihem
Mosteghanemi, Reda
Mostefai, Chaima
Powiązania:
https://bibliotekanauki.pl/articles/2200723.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
WSN
localization algorithm
anchors
GM-SDP-2
WLS
CRLB
Fuzzy C-Means
RMSE
CDF
Opis:
Localization is one of the oldest mathematical and technical problems that have been at the forefront of research and development for decades. In a wireless sensor network (WSN), nodes are not able to recognize their position. To solve this problem, studies have been done on algorithms to achieve accurate estimation of nodes in WSNs. In this paper, we present an improvement of a localization algorithm namely Gaussian mixture semi-definite programming (GM-SDP-2). GMSDP is based on the received signal strength (RSS) to achieve a maximum likelihood location estimator. The improvement lies in the placement of anchors through the Fuzzy C-Means clustering method where the cluster centers represent the anchors’ positions. The simulation of the algorithm is done in Matlab and is based on two evaluation metrics, namely normalized root-mean-squared error (RMSE) and cumulative distribution function (CDF). Simulation results show that our improved algorithm achieves better performance compared to those using a predetermined placement of anchors.
Źródło:
International Journal of Electronics and Telecommunications; 2023, 69, 1; 99--104
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The study of local terrain modeling methods for vertical planning of the territory
Autorzy:
Trevoho, Ihor
Ostrovskiy, Apollinariy
Kolb, Ihor
Ostrovska, Olena
Zhyvchuk, Viacheslav
Powiązania:
https://bibliotekanauki.pl/articles/24526020.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
modelowanie terenu
triangulacja laserowa
zdjęcie lotnicze
DEM
RMSE
vertical planning
volume of earthworks
TIN
Opis:
This work aims to study the vertical planning method for the terrain area as part of the process of construction geodetic support. Such planning will be carried out based on the aerial survey data from UAVs, which allow the creation of a high-quality digital elevation model (DEM) with sufficient node density for reliable surface terrain modelling. During the study, we test the hypothesis of the possibility of using archival aerial photographs from UAVs to model the terrain of the local area. Both the actual achievable accuracy of terrain modeling in the course of photogrammetric processing of archived aerial photographs, and methods for creating a polygonal terrain model using input spatial data in the form of clouds of 3D points of a given density require analysis. To do this, we will perform comparisons of the accuracy of calculating earth masses, carried out based on the digital triangulation elevation models (TIN). These models were based on different algorithms for creating Delaunay triangulation with different degrees of 3D point sparsity.We proposed to use sparsity of dense clouds of points representing the surface of the terrain and which were obtained by the photogrammetric method. Computer terrain modelling and calculation of vertical planning parameters were performed by us for the area with flat terrain at angles up to 3.5 degrees. We evaluated the potential of archived UAV aerial photographs and algorithms for creating Delaunay triangulation at different densities of its nodes for calculating the volumes of earth masses.
Źródło:
Geodesy and Cartography; 2021, 70, 2; art. no. e09
2080-6736
2300-2581
Pojawia się w:
Geodesy and Cartography
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Methods of Vessel Casualty Process Assessment
Autorzy:
Soliwoda, J.
Powiązania:
https://bibliotekanauki.pl/articles/115963.pdf
Data publikacji:
2014
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
risk assessment
Vessel Casualty
Maritime Casualties
Maritime Accidents
Marine Incident, Catastrophe
Root Mean Square Error (RMSE)
Casualty Factors
Opis:
Maritime casualty is an event of considerable economic and social impact. For this reason, implemented the reporting systems of accidents at sea, and the Administration was obligated to establish a Commission of Maritime Accidents. On the basis of casualty analysis and reports are developed proposals preventing similar casualties in the future. However, there is no uniform evaluation system which check references of existing regulations and recommendations to the occurred casualties. This paper presents a method to evaluate the used methods of casualty prediction with respect to the real incident and catastrophe.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2014, 8, 2; 211-216
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-6 z 6

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