scholarly journals Path Loss Model with Antenna Height Dependency under Indoor Stair Environment

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Yu Yu ◽  
Yang Liu ◽  
Wen-Jun Lu ◽  
Hong-Bo Zhu
Keyword(s):  
Standard Deviation ◽  
Maximum Likelihood ◽  
Path Loss ◽  
Likelihood Estimation ◽  
Least Square ◽  
Line Of Sight ◽  
Loss Model ◽  
Path Loss Model ◽  
Proposed Model ◽  
Receiving Antenna

A novel, receiving antenna-height-dependent path loss model under indoor stair environment is presented. The effect of a cross-beam in the stairs is also considered. The proposed model can be applied to describe both of the line-of-sight (LOS) and the non-LOS (NLOS) cases. By using least square criterion, the parameters of proposed model are extracted. Finally, using the maximum likelihood estimation, the precision of the proposed model is evaluated by the standard deviation of shadowing.

A new path loss model based on the volumetric occupancy rate for the pine forests at 5G frequency band

2020 ◽  
pp. 1-10
Author(s):  
Abdullah Genc
Keyword(s):  
Path Loss ◽  
Forest Area ◽  
Occupancy Rate ◽  
Loss Model ◽  
Path Loss Model ◽  
Model Based ◽  
Proposed Model ◽  
Pine Trees ◽  
Foliage Density ◽  
Reference Measurements

Abstract In this paper, a new empirical path loss model based on frequency, distance, and volumetric occupancy rate is generated at the 3.5 and 4.2 GHz in the scope of 5G frequency bands. This study aims to determine the effect of the volumetric occupancy rate on path loss depending on the foliage density of the trees in the pine forest area. Using 4.2 GHz and the effect of the volumetric occupancy rate contributes to the literature in terms of novelty. Both the reference measurements to generate a model and verification measurements to verify the proposed models are conducted in three different regions of the forest area with double ridged horn antennas. These regions of the artificial forest area consist of regularly sorted and identical pine trees. Root mean square error (RMSE) and R-squared values are calculated to evaluate the performance of the proposed model. For 3.5 and 4.2 GHz, while the RMSEs are 3.983 and 3.883, the values of R-squared are 0.967 and 0.963, respectively. Additionally, the results are compared with four path loss models which are commonly used in the forest area. The proposed one has the best performance among the other models with values 3.98 and 3.88 dB for 3.5 and 4.2 GHz.

Single-scatter path loss model of LED-based non-line-of-sight ultraviolet communications

2021 ◽  
Author(s):  
Tian Cao ◽  
Xinyu Gao ◽  
Tianfeng Wu ◽  
Changyong Pan ◽  
Jian Song
Keyword(s):  
Path Loss ◽  
Line Of Sight ◽  
Loss Model ◽  
Path Loss Model ◽  
Single Scatter ◽  
Non Line Of Sight

scholarly journals A single-scatter path loss model for non-line-of-sight ultraviolet channels

2012 ◽  
Vol 20 (9) ◽  
pp. 10359 ◽  
Author(s):  
Yong Zuo ◽  
Houfei Xiao ◽  
Jian Wu ◽  
Yan Li ◽  
Jintong Lin
Keyword(s):  
Path Loss ◽  
Line Of Sight ◽  
Loss Model ◽  
Path Loss Model ◽  
Single Scatter ◽  
Non Line Of Sight

Path Loss through Pine Forest around Beach for Wireless Sea Wave Energy Sensor Network

2012 ◽  
Vol 433-440 ◽  
pp. 3954-3958 ◽  
Author(s):  
Supachai Phaiboon ◽  
Supanuch Seesaiprai
Keyword(s):  
Sensor Network ◽  
Wave Energy ◽  
Path Loss ◽  
Low Noise ◽  
Loss Model ◽  
Path Loss Model ◽  
Proposed Model ◽  
Energy Sensor ◽  
Sea Wave ◽  
Good Agreement

This paper presents an empirical path loss model through forest for measuring sea wave energy using 2.4 GHz wireless sensor network (WSN). The empirical path loss model was determined from measurement campaign by using 18 dBm transmitter and the receivers with a low noise amplify. The conventional path loss models for forest environments were carried out such as Weissberger, ITU-R, COST 235 and Torrico models. From the results it is found that the proposed model provides a good agreement and is used for planning WSN.

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 Analysis of Object Location Accuracy for iBeacon Technology based on the RSSI Path Loss Model and Fingerprint Map

2016 ◽  
Vol 62 (4) ◽  
pp. 371-378 ◽  
Author(s):  
Damian E. Grzechca ◽  
Piotr Pelczar ◽  
Lukas Chruszczyk
Keyword(s):  
Moving Average ◽  
Path Loss ◽  
Propagation Model ◽  
Object Location ◽  
Line Of Sight ◽  
Average Error ◽  
Final Conclusion ◽  
Location Accuracy ◽  
Loss Model ◽  
Path Loss Model

Abstract This paper presents analysis of object location accuracy of a mobile device on the basis of the iBeacon technology. The research starts with radio signal strength indicator analysis along the corridor in order to create a path loss model for iBeacon. Two cases are taken into account: line of sight and non-line of sight for model creation. For both cases two tests: Chi-square, Shapiro-Wilk have been performed. It has also been checked if the HCI (Host Controller Interface) is a source with a memory. Acquired data have been filtered with different type of filters, e.g. median, moving average and then compared. Next, the authors evaluated the indoor positioning trilateration algorithms with the use of created model for exemplary hall. The RSSI map (radiomap) was created and the logarithm propagation model was designed. The logarithmic model estimated distance with average error 1.09m for 1 – 9m and 1.75m for 1-20m and after trilateration, the positions with average error 2.45m was achieved. A statistical analysis for acquiring data led to the final conclusion which enhanced knowledge about positioning based on the popular iBeacon technology.

Non-line-of-sight ultraviolet single-scatter path loss model

2017 ◽  
Vol 35 (2) ◽  
pp. 251-257 ◽  
Author(s):  
Wenjun Hou ◽  
Chuanhui Liu ◽  
Faping Lu ◽  
Jiafang Kang ◽  
Zhongyang Mao ◽  
...  
Keyword(s):  
Path Loss ◽  
Line Of Sight ◽  
Loss Model ◽  
Path Loss Model ◽  
Single Scatter ◽  
Non Line Of Sight
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