Investigating the Best Radio Propagation Model for 4G - WiMAX Networks Deployment in 2530MHz Band in Sub-Saharan Africa

Halifa, Awal; Tchao, Eric Tutu; Kponyo, Jerry John

doi:10.5120/cae2017652695

Cited by 6 publications

(6 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…By utilizing a least-squares method, Halifa et al [9] optimized the Hata model for Malaysian sub-urban area to produce a more precise prediction. Frequency measurements were taken outside between 400 and 1,800 MHz, Hata model produced the best results.…”

Section: Literature Reviewmentioning

confidence: 99%

Development of a modified propagation model of a wireless mobile communication system in a 4G network

Olukunle,

Kunle,

Joel

et al. 2023

IJECE

View full text Add to dashboard Cite

<span lang="EN-US">Pathloss is a key element that causes signal deterioration in the channel as the signal power reduces inversely with propagation distance, this deterioration experienced by the channel is majorly as a result of reflection, absorption, and scattering of the signal. This study however takes into consideration the radio path loss for precise base station (BS), frequency, and power adjustment prediction evaluated over a frequency of 2.3 GHz. With a distance range between 0.1 and 1.5 km for collection of data on the measured received signal strength (MRSS), five empirical models and a modified model were used to validate the measured data to determine their suitability for pathloss prediction at Federal University of Technology, Owerri (FUTO), Imo state, Nigeria. The results shows that the root mean square error (RMSE) for the Okumura-Hata, COST 231-Hata, Ericsson model, Lee, Stanford University Interim (SUI), ECC-33, and modified models are 14.33, 9.73, 25.79, 48.4, 33.76, and 8.31 dB respectively. Additionally, the Ericsson model provided 0.498 dB, the COST 231-Hata recorded 0.733 dB, and the modified model provided 0.453 dB for mean absolute percentage error (MAPE). Therefore, the improved model produces the best results, consequently, be deployed to approximately predict path loss for mobile radio coverage in Owerri, Nigeria.</span>

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Development of a modified propagation model of a wireless mobile communication system in a 4G network

Olukunle,

Kunle,

Joel

et al. 2023

IJECE

View full text Add to dashboard Cite

show abstract

“…Uttarakhand is chosen to analyze the combined effect of the forest, mountains, and mixed terrain canopies. Many researchers have applied a similar approach of path loss prediction in their terrain i.e Nigeria [33][34][35][36], Malaysia [19], Jinan [37], Africa [38], United Kingdom [30] for tuning and path loss prediction as well as to analyze the effect of terrain on signal propagation comprehensive field measurements was carried out during 2019-20. Sites Dehradun, Haridwar, and Rishikesh were identified to observe variation in terrain and climatic condition on signal propagation.…”

Section: Experimental Setup and Data Collectionmentioning

confidence: 99%

Mobility Improvement by Optimizing Channel Model Coverage Through Fine Tuning

Gupta

Ghanshala

Joshi

2021

JCSANDM

View full text Add to dashboard Cite

Empirical channel models were always an important tool for proper wireless network planning. These models consider the properties of electromagnetic waves and terrain conditions. The efficiency and accuracy of these Empirical models suffer when they are used for an area other than where they have been designed. So tuning of these models is required for proper and accurate prediction of coverage and it is done by taking the correction factor into account. Comparison of four Empirical models i.e, the Lee, the ECC-33 model, the WI model, the Ericsson model, the COST 231, and SUI is done with Measured path loss, and the best model with minimum error is then selected for tuning. Field data of LTE network at 2300 MHz is collected at two sites of Uttarakhand-India. It is analysed that the Ericsson model shows minimum RMSE, Standard Deviation, and Mean error as compared to measured path loss, followed by the Okumura model. The Ericsson model is then tuned to further reduce the error. Validation of the tuned model is done at Haridwar.

show abstract

“…Works in the Ghanaian environment focusing on WiMAX networks in the 2500-2530 MHz band was presented in [11]. The measurement from a deployed WiMAX site around the university of Ghana, Accra was compared with the prediction of four empirical models.…”

Section: Related Workmentioning

confidence: 99%

“…This is achieved by using equation (28) programmed in MATLAB. The values of RMSE closer to zero indicate a better fit [25], [11]. Thus, the developed models are described as valid and suitable for the tested environments since the RMSE between the measured and the predicted path loss values are closer to zero than the initial RMSE values.…”

Section: Validationmentioning

confidence: 99%

“…Any little deviation in characterizing the propagation environment under investigation affects the efficiency of propagation models designed from the area [8], [9]. Therefore, the use of propagation models in settings other than those intended to be used might lead to inaccurate prediction which affects system performance [10], [11]. To investigate these claims, the approach adopted in this project is to take Signal Reference Received Power (RSRP) values from deployed cell sites and compare with predictions from 4 propagation models at 800MHz and 6 models at 2600MHz.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Improved Propagation Models for LTE Path Loss Prediction in Urban & Suburban Ghana

Gadze¹,

Agyekum²,

Nuagah³

et al. 2019

IJWMN

View full text Add to dashboard Cite

To maximize the benefits of LTE cellular networks, careful and proper planning is needed. This requires the use of accurate propagation models to quantify the path loss required for base station deployment. Deployed LTE networks in Ghana can barely meet the desired 100Mbps throughput leading to customer dissatisfaction. Network operators rely on transmission planning tools designed for generalized environments that come with already embedded propagation models suited to other environments. A challenge therefore to Ghanaian transmission Network planners will be choosing an accurate and precise propagation model that best suits the Ghanaian environment. Given this, extensive LTE path loss measurements at 800MHz and 2600MHz were taken in selected urban and suburban environments in Ghana and compared with 6 commonly used propagation models. Improved versions of the Ericson, SUI, and ECC-33 developed in this study predict more precisely the path loss in Ghanaian environments compared with commonly used propagation models.

show abstract

Investigating the Best Radio Propagation Model for 4G - WiMAX Networks Deployment in 2530MHz Band in Sub-Saharan Africa

Cited by 6 publications

References 6 publications

Development of a modified propagation model of a wireless mobile communication system in a 4G network

Development of a modified propagation model of a wireless mobile communication system in a 4G network

Mobility Improvement by Optimizing Channel Model Coverage Through Fine Tuning

Improved Propagation Models for LTE Path Loss Prediction in Urban & Suburban Ghana

Contact Info

Product

Resources

About