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Wyświetlanie 1-3 z 3
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:
Space-Time-Frequency Machine Learning for Improved 4G/5G Energy Detection
Autorzy:
Wasilewska, Małgorzata
Bogucka, Hanna
Powiązania:
https://bibliotekanauki.pl/articles/226216.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
spectrum sensing
cognitive radio
machine learning
energy detection
4G
LTE
5G
k-nearest neighbors
random forest
Opis:
In this paper, the future Fifth Generation (5G New Radio) radio communication system has been considered, coexisting and sharing the spectrum with the incumbent Fourth Generation (4G) Long-Term Evolution (LTE) system. The 4G signal presence is detected in order to allow for opportunistic and dynamic spectrum access of 5G users. This detection is based on known sensing methods, such as energy detection, however, it uses machine learning in the domains of space, time and frequency for sensing quality improvement. Simulation results for the considered methods: k-Nearest Neighbor sand Random Forest show that these methods significantly improves the detection probability.
Źródło:
International Journal of Electronics and Telecommunications; 2020, 66, 1; 217-223
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Analysis of C-shape Slotted MSPA for 5G Sub Band Applications on Three Different Substrates
Autorzy:
Nagaraju, P
Sachina, D.H
Khan, Imran
Kumaraswamy, H.V
Sudhindra, K. R.
Powiązania:
https://bibliotekanauki.pl/articles/2200694.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
C-shape
RT Duroid
Taconic (TLC)
FR4
5G
Opis:
A comparative analysis of a compact planar Square patch Microstrip Multiband antenna on three different substrates is proposed. The proposed design has a C-shaped slot etched on the square radiating part and the antenna is energized using microstrip feed line. RT Duroid (ε r= 2.2), Taconic (ε r= 3.2) and FR4 (ε r= 4.4) substrates are used for simulation analysis. The flow of current is modified by the C-shaped slot making the antenna to resonate at 3/4 and 6 bands for RT Duroid/Taconic and FR4 substrates respectively suitable for 5G sub GHz applications. The antenna has a compact dimension of 32 × 32 × 1.6 mm 3 and exhibits a return loss, S11 of less than -10dB for all the resonating frequencies for all three substrates. The analysis has been done by considering the S11 (Return loss <-10 dB), Directivity, Antenna Gain, VSWR and surface current distribution. Table II provides the comparison of parameters for different substrate material.
Źródło:
International Journal of Electronics and Telecommunications; 2022, 68, 4; 715--719
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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