Determination Of A Pathloss Model For Long Term Evolution (Lte) In Yenagoa (original) (raw)

Comparison of Radio Propagation Models for Long Term Evolution (LTE) Network

International Journal of Next-Generation Networks, 2011

This paper concerns about the radio propagation models used for the upcoming 4 th Generation (4G) of cellular networks known as Long Term Evolution (LTE). The radio wave propagation model or path loss model plays a very significant role in planning of any wireless communication systems. In this paper, a comparison is made between different proposed radio propagation models that would be used for LTE, like Stanford University Interim (SUI) model, Okumura model, Hata COST 231 model, COST Walfisch-Ikegami & Ericsson 9999 model. The comparison is made using different terrains e.g. urban, suburban and rural area.SUI model shows the lowest path lost in all the terrains while COST 231 Hata model illustrates highest path loss in urban area and COST Walfisch-Ikegami model has highest path loss for suburban and rural environments.

IJERT-Simulation and Performance Evaluation of Different Propagation model under Urban, Suburban and Rural Environments for mobile communication

International Journal of Engineering Research and Technology (IJERT), 2014

https://www.ijert.org/simulation-and-performance-evaluation-of-different-propagation-model-under-urban-suburban-and-rural-environments-for-mobile-communication https://www.ijert.org/research/simulation-and-performance-evaluation-of-different-propagation-model-under-urban-suburban-and-rural-environments-for-mobile-communication-IJERTV1IS6406.pdf Nowadays the Global System for Mobile Communication (originally from Groupe Special Mobile)-GSM technology becomes popular. GSM has potential success in its line-of-sight (LOS) and non line-of-sight (NLOS) conditions which operating in the 900 MHz or 1800/1900 MHz bands. There are going to be a surge all over the world for the deployment of GSM networks. Estimation of path loss is very important in initial deployment of wireless network and cell planning. Numerous path loss (PL) models (e.g. Okumura Model, Hata Model) are available to predict the propagation loss. If Path loss increases, then signal power decrease and also bit error rate increase. This paper compares and analyzes three path loss models namely COST 231 Hata model, Ericsson model and COST 231 Walfish-Ikegami model. AWGN channel is used for all simulations. These models are simulated with different frequencies, distance between transmitter and receiver, transmitter antenna and receiver antenna heights in urban, suburban and rural environments in Non Line of site (NLOS) condition. Our main concentration in this paper is to find out a suitable model for different environments to provide guidelines for cell planning of GSM Network.

Advancements in Cellular Network Planning: Developing an Adaptive Hybrid Model for Outdoor Path Loss Prediction in Wireless Communication Systems

Signal path loss models play a significant role in predicting signal strength, its attenuation, and enable characterization of the radio frequency channel. Distance, transmitting frequency, and obstacles are various critical elements that emphasize the signal strength variability affecting signal propagation in various areas. This study employs denoised data and unprocessed data to formulate path loss models using the drive-test method. The signal strengths were measured, analyzed, and presented considering four base stations (BS) within Port Harcourt using Long Term Evolution (LTE) at 2600MHz. A comparative analysis was performed between COST231-Hata model, the Okumura-Hata model, and the developed models, based on metrics such as RMSE, MAE, and correlation coefficient (R). The developed model using denoised data exhibited excellent performance with the lowest RMSEs of 2.88dB, 3.94dB, 4.76dB, and 6.94dB, demonstrating its accuracy in predicting path loss. Additionally, it yielded the least MAE values of 2.20dB, 2.87dB, 3.48dB, and 5.82dB as compared to the existing standard models. The correlation coefficients of the developed model showed close alignment with the measured path loss of 90.04%, 78.61%, 92.21% and 91.23% for the BSs respectively. Validation of the developed models with data from different BSs confirms a high efficiency of 97.41%. Conclusively, COST231-Hata and Okumura-Hata models exhibited limited accuracy in predicting path loss within Port Harcourt. The developed model illustrates exceptional performance and it's recommended for effective communication network planning and optimization in the area. Future research is encouraged to expand the study to include more BS, regions, and locations for an in-depth and robust model development.

To Develop a Model for 4g LTE and Predictable 5G at 3500 Mhz that Would Predict the Path Loss for the Environment in Semi-Urban or Mixture of Urban and Rural Surroundings at Specific Geographical Locations

International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2022

In wireless communication, a planned network is given by the path loss model. Link budgeting, coverage prediction, and system performance optimization are indispensable in developing an accurate, simple, and general path loss model. To predict path loss in a particular environment each type of path loss propagation model is designed, it may be inaccurate in another different environment. In this paper, we are trying to predict a path loss model of Durgapur considering a particular place with a mixture of high-rise buildings, suburban , open, and foliage environments. For this proposal, the model area has been divided into twelve sectors taking 30° sectoring of radii 5 km and applying the path loss model for the calculation of path loss.

Empirical Outdoor Propagation Model for Sub-Urban: A Case Study Patheingyi Township in MANDALAY

In order to optimize the empirical propagation model that can help in planning and optimizing Long Term Evolution (LTE) wireless technology at proposed suburban region, it is necessary to estimate a system's propagation characteristics through a medium. The LTE system operates at various radio frequencies at 1800 MHz or 2100 MHz. To improve the performances of an outdoor cellular network, it is very important to estimate specific received signal strength based on experimental and predicting data. In this paper, Root Mean Square (RMSE) based approach and Mean Absolute Error (MAE) based approach for tuning COST231-Hata propagation model at 1800 MHz LTE frequency band is presented. The experimental data is examined at downlink frequency 1815 MHz of LTE 1800 MHz frequency band. The study is based on empirical measurements conducted around Mandalay Technological University (MTU) located at 21.97444˙ latitude and 96.19132˙ longitude. Two layout plans around MTU, Patheingyi Township are conducted for measurements. According to the results, RMSE based of prediction residual tuned COST231-Hata model has the lowest Root Mean Square Error (RMSE) value of 6.3589dB, 10.2058dB and the highest prediction accuracy (PA) of 96.5805%, 93.6117% for layout plan 1 and plan 2 respectively. And then at final analysis, MAE based tuning approach gives more acceptable RMSE value range than the RMSE based tuning one.

Simulation and Performance Evaluation of Different Propagation model under Urban, Suburban and Rural Environments for mobile communication

2012

Nowadays the Global System for Mobile Communication (originally from Groupe Special Mobile)-GSM technology becomes popular. GSM has potential success in its line-of-sight (LOS) and non line-of-sight (NLOS) conditions which operating in the 900 MHz or 1800/1900 MHz bands. There are going to be a surge all over the world for the deployment of GSM networks. Estimation of path loss is very important in initial deployment of wireless network and cell planning. Numerous path loss (PL) models (e.g. Okumura Model, Hata Model) are available to predict the propagation loss. If Path loss increases, then signal power decrease and also bit error rate increase. This paper compares and analyzes three path loss models namely COST 231 Hata model, Ericsson model and COST 231 Walfish-Ikegami model. AWGN channel is used for all simulations. These models are simulated with different frequencies, distance between transmitter and receiver, transmitter antenna and receiver antenna heights in urban, suburban and rural environments in Non Line of site (NLOS) condition. Our main concentration in this paper is to find out a suitable model for different environments to provide guidelines for cell planning of GSM Network.

Performance analysis for a suitable propagation model in outdoor with 2.5 GHz band

Bulletin of Electrical Engineering and Informatics, 2023

As demand for mobile wireless network services continues to rise, network planning and optimization significantly affect development. One of the critical elements in network planning is predicting pathloss. Thus, propagation models predict pathloss in indoor and outdoor environments. Choosing the appropriate propagation model for the area out of existing models is essential for network planning. Selected propagation models suitable with 2.5 GHz, such as Friis free space propagation model (FSPL), Stanford University Interim (SUI), Ericsson, Okumura, and COST-231 Hata models, are utilized for evaluation and compared with empirical data collected from long-term evolution (LTE) networks in urban areas. The best acceptable model is chosen based on statistical results such as mean, standard deviation, and root mean square errors (RMSE). The analytical results show Cost-231 Hata model fits the empirical pathloss with a minimum RMSE of 5.27 dB.

Comparison of radio propagation models in five LTE coverage cells in Riobamba

Revista de Investigaciones en Energía, Medio Ambiente y Tecnología: RIEMAT ISSN: 2588-0721

This article makes a comparative analysis of the power intensity levels measured with the Network Cell Info Lite application and the performance of the different Log-Normal, Okumura Hata, COST 231, Wolfish Bertoni and SUI propagation models in the Frequency Band 4G LTE. The study was carried out in 5 LTE coverage cells located in the southern area of ​​the City of Riobamba and the model that best fits each cell is limited using absolute error analysis, obtaining an empirical correction factor for the proposed models. For the analysis of the absolute error, 3 measurement campaigns were carried out with 50 samples where the mean value was obtained. The analysis carried out will be suspended because the Log-Normal model is the one that best fits the Riobamba environment considering that it is a residential area, and that the power levels vary from (-80 dBm to -106 dBm) and that the coverage areas were determined up to 200m.

LTE Network Planning using the Hata-Okumura and the COST-231 Hata Pathloss Models

2014

this paper takes a look at two of the most common radio propagation models used in determining the radio coverage, with regards to Long Time Evolution, LTE. These models are the Okumura-Hata and the COST-231 Hata models. A comparative analysis through mathlab simulation for both models at different frequencies and base station heights are looked into

IJERT-Pathloss Modeling at 2.3Ghz Frequency Band in the Suburbs of Tropical Region

International Journal of Engineering Research and Technology (IJERT), 2014

https://www.ijert.org/pathloss-modeling-at-2.3ghz-frequency-band-in-the-suburbs-of-tropical-region https://www.ijert.org/research/pathloss-modeling-at-2.3ghz-frequency-band-in-the-suburbs-of-tropical-region-IJERTV3IS080972.pdf before deploying any wireless system, a careful study of the zone that we desire to cover must be carried out. Such analysis is usually developed through simulations that try to model what happens to the transmitted signal along its path. The higher the number of the propagation conditions taken into account by the simulation, the higher the similarity with the real conditions. But the amount of parameters that influence an electromagnetic emission is vast. Besides, the fact that some parameters having stochastic behavior makes it impossible to control all of them, creating therefore the need for more accurate propagation models, in this paper, we aim to simulate the propagation pathloss models using MATLAB software and compare the results with measurements conducted in the suburbs of Johor city , Malaysia.