scholarly journals Modeling and Optimization of Mobile Signal Strength in challenging Atmospheric Conditions

2021 ◽  
Author(s):  
Shilpa Choudhary ◽  
Abhishek Sharma ◽  
Kashish Srivast
Keyword(s):  
Second Generation ◽  
Network Planning ◽  
Signal Strength ◽  
Received Signal Strength ◽  
Long Term Evolution ◽  
Third Generation ◽  
Wireless Technologies ◽  
Term Evolution ◽  
Varying Environment

Abstract For the network planning in the field of telecommunication networks received signal strength plays an important role. The received signal strength gets affected due to the varying environment condition through which the signal propagates and it also depends on the distance between the location of signal transmitter and the receiver. So complete information about these parameters are very much requires for proper mobile network planning. By keeping all these challenges in mind, this study was aimed to determine the received signal strength for Long-Term Evolution (LTE), Second Generation (2G) and Third Generation (3G) wireless technologies with challenging environment conditions. All the experiments were conducted at Lajpat Nagar residential area which is located in New Delhi. During the experiments received signal strength for all the three above mentioned wireless technologies were monitored with respect to varying environment conditions (Temperature, Relative Humidity and Air quality index for Particulate Matter 2.5) and distance from the base station. Later the optimization of received signal strength was carried out by using response surface methodology. Measurement results showed that Second Generation (2G) signal strengths was significantly higher than Third Generation (3G) and Long-Term Evolution (LTE) and the best values obtained for received signal strength for Long-Term Evolution (LTE), Third Generation (3G) and Second Generation (2G) were -77.9264dBm, -60.0345dBm and -58.1280dBm respectively. ANOVA results shows good mathematical modeling between input and output responses.

scholarly journals Rendimiento de la técnica de acceso múltiple no ortogonal (NOMA) en un sistema de comunicación móvil Long-Term Evolution (LTE)

2020 ◽  
Vol 3 (1) ◽  
pp. 62-76
Keyword(s):  
Long Term Evolution ◽  
Frequency Division Multiplexing ◽  
Third Generation ◽  
Frequency Division ◽  
Time Division Multiplexing ◽  
Term Evolution ◽  
Time Division ◽  
Third Generation Partnership Project

La creciente demanda de datos a través de las redes móviles y la búsqueda de servicios más eficientes por parte de los usuarios han inducido a la generación de nuevas técnicas que incrementen la eficiencia espectral. El acceso múltiple no-ortogonal (NOMA) es una de las técnicas que están siendo evaluadas dentro del 3GPP (Third Generation Partnership Project), esta proporciona servicios a múltiples usuarios mediante multiplexación en potencia. Esta investigación evalúa el rendimiento de NOMA en sistemas LTE (Long Term Evolution) mediante simulaciones de capa física, en relación con las tecnologías de acceso múltiple ortogonales convencionales TDM (Time Division Multiplexing) y FDM (Frequency Division Multiplexing). Se compararán, además, las ganancias obtenidas, con las publicadas en la bibliografía de Advanced Television Systems Committee(ATSC) 3.0. Los resultados demuestran que NOMA es mejor que TDM en los casos que se utilice una tasa baja en el receptor móvil y una tasa media en el receptor fijo, demostrando ganancias de 3.35 y 0.25 respectivamente.

scholarly journals Long-Term Evolution of Metabolic Status in Patients with Schizophrenia Stably Maintained on Second-Generation Antipsychotics

2018 ◽  
Vol 15 (6) ◽  
pp. 628-637 ◽  
Author(s):  
Seong Hoon Jeong ◽  
Nam Young Lee ◽  
Se Hyun Kim ◽  
In Won Chung ◽  
Tak Youn ◽  
...  
Keyword(s):  
Second Generation ◽  
Long Term Evolution ◽  
Metabolic Status ◽  
Term Evolution ◽  
Second Generation Antipsychotics

scholarly journals Underground Parking Lot Navigation System Using Long-Term Evolution Signal

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1725
Author(s):  
Beomju Shin ◽  
Jung Ho Lee ◽  
Changsu Yu ◽  
Chulki Kim ◽  
Taikjin Lee
Keyword(s):  
Navigation System ◽  
Signal Strength ◽  
Long Term Evolution ◽  
Position Estimation ◽  
Shopping Mall ◽  
Shopping Malls ◽  
Term Evolution ◽  
Current Location ◽  
Parking Lot

Some of the shopping malls, airports, hospitals, etc. have underground parking lots where hundreds of vehicles can be parked. However, first-time visitors find it difficult to determine their current location and need to keep moving the vehicle to find an empty parking space. Moreover, they need to remember the parked location, and find a nearby staircase or elevator to move toward the destination. In such a situation, if the user location can be estimated, a new navigation system can be offered, which can assist users. This study presents an underground parking lot navigation system using long-term evolution (LTE) signals. As the proposed system utilizes LTE network signals for which the infrastructure is already installed, no additional infrastructure is required. To estimate the location of the vehicle, the signal strength of the LTE signal is accumulated, and the location of the vehicle is estimated by comparing it with the previously stored database of the LTE received signal strength (RSS). In addition, the acceleration and gyroscope sensors of a smartphone are used to improve the vehicle position estimation performance. The effectiveness of the proposed system is verified by conducting an experiment in a large shopping-mall underground parking lot where approximately 500 vehicles can be parked. From the results of the experiment, an error of less than an average of 10 m was obtained, which shows that seamless navigation is possible using the proposed system even in an environment where GNSS does not function.

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