Smail Medjedoub
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Smail Medjedoub has a total of 8 co-authors. Here are the top co-authors by number of shared publications:
Bilal Saoud
University of Bouira
1 shared publication- Kamel Saoudi
Univ Bouira, Fac Sci & Appl Sci, Dept Elect Engn, Lab LPM3E, Bouira, Algeria
1 shared publication Khaled Rouabah
University of M’sila
1 shared publication- Mouloud Ayad
Univ Bouira, Fac Sci & Appl Sci, LPM3E Lab, Bouira 10000, Algeria
1 shared publication Mourad Benziane
University of Bouira
1 shared publication- Mourad Benziane
University of Bouira
1 shared publication
Latest Publications
- Open Access
- 30 December 2024
- Published by ISRES Publishing in The Eurasia Proceedings of Science Technology Engineering and Mathematics
- Vol. 32, 142-153
Performance Evaluation of Radio Fingerprinting Localization
This paper introduces a radio fingerprinting localization method for positioning unknown radio transmitters (URTs) based on received signal strength difference (RSSD). The method incorporates Kalman filter (KF) preprocessing, principal component analysis (PCA), similarity measures, and weighted k-nearest neighbors (WKNN). First, the Kalman filter is applied to the received signal strength (RSS) measurements to reduce noise. Next, PCA is used for dimensionality reduction and decorrelation by extracting the principal components from the RSSD data. In the final stage, the similarity between offline and online principal component databases is measured using various metrics, while WKNN estimates the transmitter’s position by assigning weights to nearby reference points (RPs). Simulations are conducted to evaluate the impact of preprocessing, the number of PCA components, and the choice of similarity measures on localization performance. The results provide a comprehensive analysis of the trade-offs between these techniques, highlighting their effectiveness in different environments and conditions for fingerprinting-based WLAN localization.
- 30 December 2024
- Published by ISRES Publishing in The Eurasia Proceedings of Science Technology Engineering and Mathematics
- Vol. 32, 142-153
Open AccessPerformance Evaluation of Radio Fingerprinting Localization
This paper introduces a radio fingerprinting localization method for positioning unknown radio transmitters (URTs) based on received signal strength difference (RSSD). The method incorporates Kalman filter (KF) preprocessing, principal component analysis (PCA), similarity measures, and weighted k-nearest neighbors (WKNN). First, the Kalman filter is applied to the received signal strength (RSS) measurements to reduce noise. Next, PCA is used for dimensionality reduction and decorrelation by extracting the principal components from the RSSD data. In the final stage, the similarity between offline and online principal component databases is measured using various metrics, while WKNN estimates the transmitter’s position by assigning weights to nearby reference points (RPs). Simulations are conducted to evaluate the impact of preprocessing, the number of PCA components, and the choice of similarity measures on localization performance. The results provide a comprehensive analysis of the trade-offs between these techniques, highlighting their effectiveness in different environments and conditions for fingerprinting-based WLAN localization.
- Open Access
Evaluation of Radio Communication Links of 4G Systems
Radio communication systems are very widely present in our current smart lifestyles. It consists of two ends, which can carry the transmitter’s information to the receptor. Before installing any radio communication system, it is necessary to analyze the link resources. Hence, this analysis allows the determination of the received radio communication strength to prove if it is sufficient for the link to work correctly and assure a high quality of service. For this reason, new services and technologies are integrated. The objective of the present work is to improve the performance of the radio communication link of 4G systems. The study is based on real measurements using the drive test. The data collected by the drive test are analyzed to increase the performance of the radio communication. Based on this data analysis, recommendations and suggestions are issued for improving the radio communication link. The obtained results indicate a significant amelioration in the performance of the radio communication link.
Open AccessEvaluation of Radio Communication Links of 4G Systems
Radio communication systems are very widely present in our current smart lifestyles. It consists of two ends, which can carry the transmitter’s information to the receptor. Before installing any radio communication system, it is necessary to analyze the link resources. Hence, this analysis allows the determination of the received radio communication strength to prove if it is sufficient for the link to work correctly and assure a high quality of service. For this reason, new services and technologies are integrated. The objective of the present work is to improve the performance of the radio communication link of 4G systems. The study is based on real measurements using the drive test. The data collected by the drive test are analyzed to increase the performance of the radio communication. Based on this data analysis, recommendations and suggestions are issued for improving the radio communication link. The obtained results indicate a significant amelioration in the performance of the radio communication link.