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International Journal of Advanced Networking and Applications

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2023

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Odesanya, Ituabhor

Hybrid Empirical and Machine Learning Approach to Efficient Path Loss Predictive Modelling: An Overview

Abstract Views :76 | PDF Views:1

Authors

Ituabhor Odesanya ¹, Joseph Isabona ², Emughedi Oghu ³, Okiemute Roberts Omasheye ⁴

Affiliations
1 Federal University Lokoja/Department of Physics, Lokoja, NG
2 Department of Physics, Federal University Lokoja, Lokoja, Kogi State, NG
3 Department of Computer Science, Federal University Lokoja, NG
4 Department of Physics, Delta State College of Education, Mosogar 331101, NG

Source

International Journal of Advanced Networking and Applications, Vol 15, No 3 (2023), Pagination: 5931– 5939

Abstract

In the field of wireless communication and network planning, accurate path loss predictive modelling plays a vital role in understanding the behavior of signal propagation in diverse environments. Traditional empirical models have been widely used for path loss estimation, but they often lack the flexibility to adapt to complex scenarios. On the other hand, machine learning techniques have shown great potential in various domains, including wireless communication. This paper aims to present a hybrid empirical and machine learning approach for efficient path loss predictive modelling. By combining the strengths of empirical models and machine learning algorithms, we can enhance the accuracy and adaptability of path loss predictions. The following sections provide an overview of path loss modelling, explore traditional empirical techniques, discuss the application of machine learning approaches, and outline the methodology for the hybrid approach, along with evaluation and analysis. Finally, we conclude with a summary of findings and suggest future directions for research in this field.

Keywords

Network planning, Accurate predictive modelling, Signal propagation, Empirical models, Machine learning models.

Full Text

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Evaluation of Selection Combining, Equal Gain Combining and Maximum Ratio Techniques in Orthogonal Frequency Division Multiplexing System

Abstract Views :54 | PDF Views:3

Authors

Ituabhor Odesanya ¹

Affiliations
1 Department of Physics, Federal University Lokoja, Kogi State, NG

Source

International Journal of Advanced Networking and Applications, Vol 15, No 4 (2023), Pagination: 5996 - 6002

Abstract

Mobile communication systems employing orthogonal frequency division multiplexing technique are mainly the fourth and fifth generation. This technique serves as a multi-access scheme which supports information splitting in sub-channel frequencies during data transmission. This technique is sensitive to multipath fading and signal strength can be lost due to shadowing in different radio frequency propagation terrains during practical applications. One of the waysin mitigating this multipath fading problem is by utilizing antenna diversity combining techniques. In this paper, Simulink software is employed to analytically simulate three antenna diversity techniques, selection combining, equal gain combining and maximum ratio combining. Symbol error rate and bit error rate are used as performance indicators, the result indicates that the maximum ratio combining performs optimally. The results indicate that the performance of the three diversity techniques increases as the antenna grows in quantity.

Keywords

Bit error rate, symbol error rate, selection combining, equal gain combining, maximum ratio combining.

Full Text

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I. Odesanya, J. Isabona, E. Oghu and O.R. Omasheye, “Hybrid Empirical and Machine Learning Approach to Efficient Path Loss Predictive Modelling: An Overview, Int. J. Advanced Networking and Applications Vol:15:03 pp:5931– 5939.2023

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