EL MEJJATTI MOUNIR

@ensias.um5.ac.ma

SS laboratory, ENSIAS
ENSIAS, Mohammed V University in Rabat

RESEARCH, TEACHING, or OTHER INTERESTS

Tourism, Leisure and Hospitality Management, Electrical and Electronic Engineering, Engineering
5

Scopus Publications

Scopus Publications

  • Innovative Model for Predicting Soil Impact on Patch Antenna Directivity
    Mounir El Mejjatti, Ahmed Habbani
    Proceedings 6th International Conference on Advanced Communication Technologies and Networking Commnet 2023, 2023
    The radiation pattern of an antenna is heavily contingent upon its physical attributes and the surroundings it operates within. However, the permanent integration of devices into the ground introduces inherent instability into the propagation medium, reliable to spatial and temporal fluctuations in dielectric permittivity. This research introduces a multivariable method that adeptly captures patterns within datasets, facilitating precise prognostication of maximum directivity deviations, reaching approximately 70%. This technique leans on the principles of multiple linear analysis and takes into account soil parameter values. Moreover, our study’s outcomes illustrate that among the four pivotal variables, volumetric moisture wields a pronounced impact on the main lobe magnitude, boasting a noteworthy correlation coefficient of -0.702. In contrast, temperature and bulk density exhibit coefficients of 0.106 and -0.133, respectively. Conversely, the influence of specific density seems to be of minor import. The results obtained fulfill the established aims of this investigation, furnishing designers with indispensable insights to tackle the predicaments that transmitters might confront in such scenarios.
  • Novel Soil Impact Prediction Model on Bandwidth
    Mounir El Mejjatti, Ahmed Habbani
    Proceedings 10th International Conference on Wireless Networks and Mobile Communications Wincom 2023, 2023
    The antenna’s bandwidth strongly depends on its physical characteristics and the surrounding environment. However, permanently embedding devices in the soil causes inherent instability in the propagation medium due to spatial and temporal variations in dielectric permittivity. This study introduces an innovative multivariable approach that effectively captures dataset patterns, enabling accurate prediction of frequency range variations, at around 70%. This technique relies on the multiple linear analysis method and considers soil parameter values. Furthermore, our research findings demonstrate that among the four key variables, volumetric moisture exhibits a pronounced influence on the operating band, with a notable correlation coefficient of 0.72, whereas temperature and bulk density show scores of -0.381 and 0.08, respectively. On the other hand, the effect of specific density appears to have minimal significance. The obtained results successfully achieve the set objectives of this study by providing critical information for designers to address the challenges that transmitters may encounter in such scenarios.
  • Regression analysis-based identification model of key impactful parameters on buried antennas
    Mounir El Mejjatti, Ahmed Habbani, Faissal El Bouanani
    International Journal of Communication Systems, 2022
    SummaryThe antenna's bandwidth is strongly dependent on its physical properties and the environment where it is located. Nevertheless, for transmitting devices embedded permanently in the soil, the propagation medium's properties are unstable due to dielectric permittivity's spatial and temporal changes. Relying on soil parameters values, we present three new multivariable regression models allowing a good fit to the dataset curves with antenna's resonant frequency variations prediction of about 98%. Precisely, such models have been obtained with the help of the multiple linear regression analysis method. Additionally, the results revealed that amongst four considered parameters (i.e., volumetric moisture, bulk density, specific density, and temperature), volumetric moisture is the most influencing factor on the antenna operating frequency band with a correlation coefficient of −0.989, whereas it equals 0.04, −0.035, and −0.002 for the temperature, bulk density, and specific density, respectively.
  • A Magnetic Coupling-Based Technique for Buried Antenna's Frequency Adjustment in Wet Soil
    Mounir El Mejjatti, Ahmed Habbani, Faissal El Bouanani
    Proceedings 4th International Conference on Advanced Communication Technologies and Networking Commnet 2021, 2021
    Wireless Underground Sensor Networks for precision agriculture applications consist of wirelessly connected underground sensor nodes that communicate through the soil. Thus, the resonant frequency of the buried antenna depends on the soil’s dielectric permittivity. In addition, the soil’s volumetric water content in nature can vary unpredictably due to the weather conditions and irrigation, causing permittivity fluctuations and hence, frequency instability of deployed antennas. In this paper, we propose an inductive coupling-based technique allowing the self-adjustment of the buried loop antenna’s resonant frequency subject to a wet soil environment.
  • Moisture vulnerability of antenna operation in UHF band
    Mounir El Mejjatti, Ahmed Habbani, Bilal Essaid, Hicham Amraoui
    ACM International Conference Proceeding Series, 2017
    Behavior of the propagation medium in reaction with electromagnetic fields is described by its dielectric permittivity; this electric property is a function of the physical characteristics of the medium and those of the propagating wave. Among the parameters, which considerably affect the dielectric permittivity of a medium, its water content. In fact, when the snow wetness varies from 0 to 50% in the melting layer, real part of the mixture permittivity varies from 1.47 to 5.86. Similarly, when soil moisture varies from 0 to 40% real and imaginary parts of effective permittivity of soil, air and water mixture vary from 4.13 to 24.85 and from 0 to 3.44 respectively. This dynamism in the permittivity as a function of the humidity is able to alter the efficiency of the antenna within the application. In this paper, we propose a study to analyze the impact of wetness on the performance of a dipole antenna with central frequency of 900 MHz. The study was carried out by simulating the behavior of the dipole antenna model in Finite Element Method (FEM) full wave simulator with different values of the water content of two propagation mediums: melting layer and soil. Simulation results concerning the resonant frequency, bandwidth, directivity are presented through paragraphs of the paper.

RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)

Antenna for soil sensors with humidity-independent resonance frequency