Comparative Signal Strength Analysis for Reliable Communication using MATLAB

DOI

10.2991/978-94-6463-718-2_121How to use a DOI?

Keywords

Wireless Communications; Propagation Models; Antenna Configurations; MIMO Systems; Path Loss; Network Capacity; Weather-Induced Attenuation

Abstract

The study deals with optimization issues that face wireless communications in cities and towns through propagation model evaluation, antenna configuration evaluation, and MIMO systems’ evaluation at 2 GHz. By employing the use of COST-231 Hata and Hata suburban models, the work reviews path loss depending on frequency, transmitter height, and distance. It makes use of ray-tracing simulation embedded in MATLAB’s Communication Toolbox to model the signal’s behaviour in reflection, diffraction, and direct paths. Network capacity and quality of signal in a communication network are increased using the implementation of 2x2 MIMO. Antennas including parabolic, Yagi-Uda, dipole, log-periodic, and monopole compare their RSS impact and contribute towards designing an optimal network. In this sense, the knowledge helps optimally place a base station for improvement in networks. This work introduces a scalable framework that will help evolve weather-induced attenuation modelling as well as hybrid propagation techniques, making the next generation of wireless networks robustly adaptive.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - S. Azeem Kamal
AU  - S. R. Ebi Manuel
AU  - S. Rajeshkannan
PY  - 2025
DA  - 2025/05/23
TI  - Comparative Signal Strength Analysis for Reliable Communication using MATLAB
BT  - Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)
PB  - Atlantis Press
SP  - 1450
EP  - 1461
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-718-2_121
DO  - 10.2991/978-94-6463-718-2_121
ID  - Kamal2025
ER  -