scholarly journals Assessment and Development of Path Loss Propagation Model for Ikire Metropolis, Nigeria

2021 ◽  
Author(s):  
Jide POPOOLA
Keyword(s):  
Path Loss ◽  
Propagation Model

scholarly journals ANALISIS PROPAGASI PADA KAWASAN KAMPUS UNIVERSITAS NUSA CENDANA PENFUI KUPANG

2019 ◽  
pp. 7-16
Author(s):  
Leonardo F. Lay ◽  
Kalvein Rantelobo ◽  
Beby H. A. Manafe
Keyword(s):  
Communication Systems ◽  
Cost Model ◽  
Path Loss ◽  
Secondary Data ◽  
Propagation Model ◽  
Primary Data ◽  
Acceptance Test ◽  
Test Drive ◽  
Dry Land ◽  
The University

In a telecommunications system, a radio propagation model is needed to do a design, construction, and development of mobile communication systems. Propagation models commonly used are the Okumura-Hatta model and the COST model 231. These models are used to determine an accurate propagation model in a particular area. This study aims to obtain a propagation model on the environmental conditions of dry-land such as the University of Nusa Cendana areas by using Okumura-Hata path loss modeling and COST-231. In this study, the acceptance test drive was carried out at frequencies of 900 Mhz, 1800 Mhz and 1900 MHz using the G-NetTrack application on Telkomsel BTS in the University of Nusa Cendana area with Latitude coordinates -10.156738 and Longitude 123.668422 as well as observing frequencies using Spectrum Analyzer to be used as primary data. The next step is to calculate the received power data as secondary data using the Okumura-Hata path loss calculation and COST-231. Based on primary and secondary data an analysis of which propagation model matches the measurements in the field is carried out. From the propagation analysis, it can be concluded that the propagation model that suits the conditions on the campus area is the Okumura-Hatta model.

scholarly journals MEASUREMENTSBASEDEVALUATION OF PATHLOSSEXPONENTS IN URBAN OUTDOORENVIRONMENTS

2021 ◽  
Vol 9 (03) ◽  
pp. 72-79
Author(s):  
Akohoule Alex ◽  
◽  
Bamba Aliou ◽  
Kamagate Aladji ◽  
Konate Adama ◽  
...  
Keyword(s):  
Mobile Networks ◽  
Average Power ◽  
Path Loss ◽  
Wireless Channel ◽  
Propagation Model ◽  
Strong Impact ◽  
Efficient Design ◽  
Path Loss Exponent ◽  
Outdoor Environments ◽  
The Impact

In wireless networks, propagation models are used to assess the received power signal and estimate the propagation channel. These models depend on the pathloss exponent (PLE) which is one of the main parameters to characterize the propagation environment. Indeed, in the wireless channel, the path loss exponent has a strong impact on the quality of the links and must therefore be estimated with precision for an efficient design and operation of the wireless network. This paper addresses the issue of path loss exponents estimation for mobile networks in four outdoor environments. This study is based on measurements carried out in four outdoor environments at the frequency of 2600 MHz within a bandwidth of 70 MHz. It evaluates the path loss exponent, and the impact of obstacles present in the environments. The parameters of the propagation model determined from the measurements show that the average power of the received signal decreases logarithmically with the distance. We obtained path loss exponents values of 4.8, 3.53, 3.6 and 3.99 for the site 1, site 2, site 3 and site 4, respectively. Clearly the density of the obstacles has an impact on the path loss exponents and our study shows that the received signal decrease faster as the transmitter and receiver separation in the dense environments.

scholarly journals Factorial Design Analysis for Localization Algorithms

2018 ◽  
Vol 8 (12) ◽  
pp. 2654
Author(s):  
Joaquin Mass-Sanchez ◽  
Erica Ruiz-Ibarra ◽  
Ana Gonzalez-Sanchez ◽  
Adolfo Espinoza-Ruiz ◽  
Joaquin Cortez-Gonzalez
Keyword(s):  
Statistical Analysis ◽  
Noise Level ◽  
Performance Metrics ◽  
Extreme Values ◽  
Path Loss ◽  
Propagation Model ◽  
Path Loss Exponent ◽  
Localization Algorithms ◽  
Accuracy And Precision ◽  
The Impact

Localization is a fundamental problem in Wireless Sensor Networks, as it provides useful information regarding the detection of an event. There are different localization algorithms applied in single-hop or multi-hop networks; in both cases their performance depends on several factors involved in the evaluation scenario such as node density, the number of reference nodes and the log-normal shadowing propagation model, determined by the path-loss exponent (η) and the noise level (σdB) which impact on the accuracy and precision performance metrics of localization techniques. In this paper, we present a statistical analysis based on the 2k factorial methodology to determine the key factors affecting the performance metrics of localization techniques in a single-hop network to concentrate on such parameters, thus reducing the amount of simulation time required. For this proposal, MATLAB simulations are carried out in different scenarios, i.e., extreme values are used for each of the factors of interest and the impact of the interaction among them in the performance metrics is observed. The simulation results show that the path-loss exponent (η) and noise level (σdB) factors have the greatest impact on the accuracy and precision metrics evaluated in this study. Based on this statistical analysis, we recommend estimating the propagation model as close to reality as possible to consider it in the design of new localization techniques and thus improve their accuracy and precision metrics.

An improved ray-tracing propagation model for predicting path loss on single floors

1999 ◽  
Vol 22 (1) ◽  
pp. 39-41 ◽  
Author(s):  
Zhong Ji ◽  
Bin-Hong Li ◽  
Hao-Xing Wang ◽  
Hsing-Yi Chen ◽  
Yaw-Gen Zhau
Keyword(s):  
Ray Tracing ◽  
Path Loss ◽  
Propagation Model

Performances of Non-Line-of-Sight Ultraviolet Multi-Scatter Propagation for Noncoplanar Geometries

2012 ◽  
Vol 571 ◽  
pp. 214-218
Author(s):  
Yi Nan Tang ◽  
Xiao Ping Xie ◽  
Wei Zhao
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Monte Carlo Method ◽  
Impulse Response ◽  
Mathematical Description ◽  
Pulse Width ◽  
Path Loss ◽  
Propagation Model ◽  
Line Of Sight ◽  
Non Line Of Sight

A multi-scatter propagation model based on Monte Carlo method is presented. This model can be applied to all the geometries, including coplanar or noncoplanar scenario. The mathematical description of this model is deduced. We obtain the spatial positions of photon with three Cartesian coordinates after each propagation step and the received judgment conditions. Employing a photon tracing technique, Monte Carlo simulation is performed to investigate the signal impulse response and the path loss. The results indicate that, when the off-axis angle increases, the amplitude of the impulse response decreases, while the path loss increases. In addition, it is observed that the pulse width increases with the off-axis angle.

scholarly journals Outdoor Radio Propagation Model Optimization Using Genetic Algorithm

2021 ◽  
Author(s):  
Deepti Kakkar ◽  
Amarah Zahra ◽  
Hritwik Todawat ◽  
Vaishnawi Singh ◽  
Farhana Shahid ◽  
...  
Keyword(s):  
Wireless Communication ◽  
Free Space ◽  
Path Loss ◽  
Propagation Model ◽  
Wireless System ◽  
Propagation Models ◽  
Ga Algorithm ◽  
Optimum Path ◽  
Long Time ◽  
Radio Propagation Model

Path loss which is one of the main issues in wireless communication system and has been studied for long time. With the tremendous increase in demand in wireless technology, this Path loss needs to be optimized. Therefore, it is very important to analyse these different propagation models in order to get some useful information out and develop a system based on it. This is done to get the optimum path loss from different models. These are useful tools which makes the designers capable of designing a wireless system with great efficiency. In pursuit of the same, this paper attempts to optimize free space propagation model and hata model using GA algorithm, and shows a comparison by putting them side by side. This paper gives an insight of comparison between free space and Hata model in wireless communication taking different propagation environments into consideration.

scholarly journals Hata Model Path Loss Optimization using Least Mean Square Regression

2021 ◽  
Author(s):  
Deepti Kakkar ◽  
Aditi Bharmaik ◽  
Ankita Sharma ◽  
Eshwari S.S. Dagar ◽  
Parul Rattanpal ◽  
...  
Keyword(s):  
Model Equation ◽  
Prediction Models ◽  
Optimization Technique ◽  
Path Loss ◽  
Stochastic Approach ◽  
Propagation Model ◽  
Mean Square ◽  
Least Mean Square ◽  
Mobile Cellular ◽  
Urban City

Astochastic approach based optimization technique to optimize the Hata model path loss equation is presented in this paper. In this paper, the existing Hata model equation for determining path loss in medium urban city is optimized using Least Mean Square regression method. Out of various path loss models available, Hata model was chosen due to its accuracy and reliability in an urban propagation environment. The optimization technique proposed is applied to get the optimumcoefficients of Hata propagation model equation. This stochastic approach is based on reducing the mean square difference between the measured and predicted path loss by adjusting the error coefficients of MSE through regression. The MSE obtained after optimization is significantly lower than that obtained from the existing Hata model. For better planning and implementation of mobile cellular networks there is a need for modifying the existing path loss prediction models. This optimized model can be used to improve the quality of service in 900MHz band in a medium sized urban environment.

Path Loss Model Optimization Using Stochastic Hybrid Genetic Algorithm

2018 ◽  
Vol 7 (4.10) ◽  
pp. 464
Author(s):  
A. Bhuvaneshwari ◽  
R. Hemalatha ◽  
T. SatyaSavithri
Keyword(s):  
Genetic Algorithm ◽  
Path Loss ◽  
Least Square Method ◽  
Mobile Radio ◽  
Propagation Model ◽  
Least Square ◽  
Hybrid Optimization ◽  
Loss Model ◽  
Path Loss Model ◽  
Weighted Least Square

In the context of modeling the propagation of mobile radio signals, optimizing the existing path loss model is largely required to precisely represent the actual propagation medium. In this paper, a hybrid tuning approach is proposed by merging the stochastic Weighted Least Square method and Genetic algorithm. The proposed hybrid optimization is employed to optimize the parameters of Cost 231 Hata propagation model and is validated by cellular field strength measurements at 900 MHz in the sub urban region. The hybrid optimization is compared with optimized results of Weighted Least Square method and Genetic algorithm. The least values of Mean Square error (0.2702), RMSE (0.4798) and percentage Relative error (3.96) justify the tuning precision of the hybrid method. The proposed optimization approach could be used by network service providers to improve the quality of service and in mobile radio network planning of 900 MHz band for 4G LTE services.  

scholarly journals A Model with Leaf Area Index and Trunk Diameter for LoRaWAN Radio Propagation in Eastern China Mixed Forest

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Yin Wu ◽  
Genwei Guo ◽  
Guiyun Tian ◽  
Wenbo Liu
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Eastern China ◽  
Mixed Forest ◽  
Path Loss ◽  
Propagation Model ◽  
Growth Monitoring ◽  
Area Index ◽  
Trunk Diameter ◽  
Energy Consumption Optimization

Internet of Things (IoT) is a very promising technology in forest engineering, especially for the environment and plant growth monitoring. LoRa Wide Area Network (LoRaWAN) is a prevailing choice for the Forestry IoT owing to its low-power and long-range ability. Real-world deployment and network optimization require accurate path-loss modeling, so the LoRaWAN radio channel in the forest is needed to be intensively studied. However, most of the subsistent propagation models do not involve specific forestry environmental parameters. In this paper, two parameters related with the trees are considered: the leaf area index and the tree trunk diameter. Due to the time-changing characteristics of these two items (from spring to winter), an empirical model has been developed through extensive measurement campaigns: Firstly, the channel measurement platform is designed based on a real scene of mixed forest. Secondly, the fading characteristics of the channel transmission for LoRa nodes are tested, and the corresponding model is presented and evaluated. Lastly, an energy harvesting LoRaWAN is deployed and operated in a sampled forest region of Eastern China for environment monitoring based on our propagation model. The results show that 433 MHz LoRa path loss in the mingled forest could be precisely predicted by our proposed model. Moreover, network coverage and energy consumption optimization of the LoRa nodes could be performed, which enables the perpetual development of reliable forestry evolution monitoring system.

scholarly journals Analysis of Heuristic Uniform Theory of Diffraction Coefficients for Electromagnetic Scattering Prediction

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Diego Tami ◽  
Cássio G. Rego ◽  
Dinael Guevara ◽  
Andrés Navarro ◽  
Fernando J. S. Moreira ◽  
...  
Keyword(s):  
Mobile Networks ◽  
Electromagnetic Scattering ◽  
Reference Model ◽  
Path Loss ◽  
Absolute Error ◽  
Propagation Model ◽  
Outdoor Environment ◽  
Model Based ◽  
Uniform Theory Of Diffraction ◽  
Outdoor Environments

We discuss three sets of heuristic coefficients used in uniform theory of diffraction (UTD) to characterize the electromagnetic scattering in realistic urban scenarios and canonical examples of diffraction by lossy conducting wedges using the three sets of heuristic coefficients and the Malyuzhinets solution as reference model. We compare not only the results of the canonical models but also their implementation in real outdoor scenarios. To predict the coverage of mobile networks, we used propagation models for outdoor environments by using a 3D ray-tracing model based on a brute-force algorithm for ray launching and a propagation model based on image theory. To evaluate each set of coefficients, we analyzed the mean and standard deviation of the absolute error between estimates and measured data in Ottawa, Canada; Valencia, Spain; and Cali, Colombia. Finally, we discuss the path loss prediction for each set of heuristic UTD coefficients in outdoor environment, as well as the comparison with the canonical results.

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