Publications (123)
ARTICLE
Medium Access Control QoS Analysis in VANET, FANET Software Defined Radio Platform
Pegdwindé Justin Kouraogo, Hamidou Harouna Omar, Désiré Guel
Vehicular Ad Hoc Networks (VANETs) are critical for the advancement of Intelligent Transportation Systems (ITS), enabling real-time vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications. However, ensuring Quality of Service (QoS) in VANETs is challenging due to high mobility, dynamic topologies, and interference. This stu(...)
VANET, Medium Access Control (MAC), Quality of Service (QoS), Software-Defined Radio (SDR), Mobility, Intelligent Transportation Systems (ITS)
ARTICLE
Channel Prediction for MAC Optimization in VANET, FANET Software Defined Radio Platform
Pegdwindé Justin Kouraogo, Hamidou Harouna Omar, Désiré Guel
This work addresses the critical challenge of ensuring reliable communication in vehicular ad hoc networks (VANETs) and drone networks (FANETs) under dynamic and high-mobility conditions. Current methods often fail to adequately predict rapid channel variations, leading to increased packet loss and degraded Quality of Service (QoS). To bridge(...)
Prediction, Cross-Layer, Multiuser Detection, Packet Error Rate, Goodput
ARTICLE
Impact of Interference and Mobility on MAC Layer Performance in VANETs, FANETs
Pegdwindé Justin Kouraogo, Hamidou Harouna Omar, Désiré Guel
Vehicular Ad Hoc Networks (VANETs) play a pivotal role in advancing Intelligent Transportation Systems (ITS), facilitating real-time communication among vehicles and infrastructure. However, VANETs face challenges arising from high mobility, dynamic topologies, and significant interference levels. This study proposes a novel cross-layer framew(...)
VANET, Cross-Layer Design, Channel Prediction, QoS Optimization, Interference Management, Mobility Models
ARTICLE
Medium Access Control Rate Optimization in VANET, FANET Software Defined Radio Platform
Pegdwindé Justin Kouraogo, Hamidou Harouna Omar, Désiré Guel
Vehicular Ad Hoc Networks (VANETs) play a pivotal role in the advancement of Intelligent Transportation Systems (ITS), facilitating real-time communication among vehicles (V2V) and between vehicles and infrastructure (V2I). However, maintaining reliable Quality of Service (QoS) in these dynamic environments remains challenging due to high mobi(...)
VANET, Medium Access Control (MAC), Cross-Layer Design, Quality of Service (QoS), Software-Defined Radio (SDR), Intelligent Transportation Systems (ITS)
ARTICLE
Addressing Challenges in Data Quality and Model Generalization for Malaria Detection
Kiswendsida Kisito Kaboré, Désiré Guel
Malaria remains a significant global health burden, particularly in resource-limited regions where timely and accurate diagnosis is critical to effective treatment and control. Deep Learning (DL) has emerged as a transformative tool for automating malaria detection and it offers high accuracy and scalability. However, the effectiveness of thes(...)
Malaria Detection, Deep Learning (DL), Data Quality, Model Generalization, Domain Adaptation
ARTICLE
Accessibilité aux technologies de l'information et de la communication des étudiants en licence de l'UFR Sciences de la Santé (SDS) de l'Université Joseph KI-ZERBO de Ouagadougou
Relwendé Aristide YAMEOGO, ZONGO Armelle Francine, DOUMONBOU A. Isabelle. Rachelle, Joël BAMOUNI, SOUBIABIGA Romaric, Patrice ZABSONRE , Adama SANOU, Nicolas MEDA
L’objectif de ce travail est d’évaluer l’accès aux technologies numériques chez les étudiants de l’UFR/SDS de l’Université Joseph Ki-Zerbo. Il s’est agi d’une étude transversale descriptive menée à l’aide d’un questionnaire auto-administré, qui a été distribué aux étudiants inscrits en licence dans les filières de médecine, pharmacie et chirur(...)
Accès à la technologie , Compétences numériques , Burkina Faso
ARTICLE
5G-NR PUSCH Receiver Optimization in Context of Intra/Inter Cell Interference
Désiré Guel, Flavien Hervé Somda, P. Justin Kouraogo, Boureima Zerbo
As 5G New Radio (5G-NR) networks evolve, managing intracell and inter-cell interference, especially during uplink transmissions on the Physical Uplink Shared Channel (PUSCH) becomes increasingly challenging. This paper presents a novel approach to optimizing User Equipment (UE) and cell configuration parameters to mitigate interference and imp(...)
5G-NR PUSCH, Intra/Inter-Cell Interference, Quality of Service (QoS), Block Error Rate (BLER)
ARTICLE
A Structured Metamodel for Architecture Debt Management
Flavien Hervé SOMDA, Desire GUEL
Architecture debt in information systems poses significant challenges, leading to increased maintenance costs, reduced performance, and compromised quality. Effective management of architecture debt is crucial for the sustainability and efficiency of software systems. This paper proposes a comprehensive metamodel to support managing architectu(...)
Architecture Debt, Metamodel, Impact Analysis, Traceability, Model-Driven Engineering.
ARTICLE
Enhancing 5G-NR mm Wave: Phase Noise Models Evaluation with MMSE for CPE Compensation
GUEL Desire, SOMDA Flavien Herve, ZERBO Boureima, SIE Oumarou
The rapid development of 5G New Radio (NR) and millimeter-wave (mmWave) communication systems highlights the critical importance of maintaining accurate phase synchronization to ensure reliable and efficient communication. This study focuses on evaluating phase noise models and implementing Minimum Mean Square Error (MMSE) algorithms for Commo(...)
5G New Radio (NR), mmWave, CPE Compensation, Phase Noise Models, Minimum Mean Square Error (MMSE), EVM (Error Vector Magnitude), BLER (BLock Error Rate), SNR (Signal-to-Noise Ratio), NRPDSCH (Physical Downlink Shared Channel), PT-RS (Phase Tracking Reference Signals)
ARTICLE
Enhancing Connectivity and Energy Efficiency in Mobile Wireless Sensor Networks with SHEM
Yacouba Ouattara, Christophe Lang
The wireless sensor network can be useful in many domains such as military field, environmental control, medicine and healthcare. We, specially, focus on networks with mobiles nodes. Such networks require continuous dynamic reconfiguration to maintain effective communication between the nodes. Maintaining communication links and connectivity i(...)
algorithmic, energy, mobility, topology, connectivity, distributed
ARTICLE
5G NR PRACH Detection with Convolutional Neural Networks (CNN): Overcoming Cell Interference Challenges
GUEL Desire, KABORE Arsene, BASSOLE Didier
In this paper, we present a novel approach to interference detection in 5G New Radio (5G-NR) networks using Convolutional Neural Networks (CNN). Interference in 5G networks challenges high-quality service due to dense user equipment deployment and increased wireless environment complexity. Our CNN-based model is designed to detect Physical Ran(...)
5G-NR, PRACH, Réseaux de Neurones Convolutifs (CNN), Interference Detection
ARTICLE
Deep Learning and Web Applications Vulnerabilities Detection: An Approach Based on Large Language Models
Sidwendluian Romaric Nana, Didier Bassole, Desire Guel and Oumarou Sie
Web applications are part of the daily life of Internet users, who find services in all sectors of activity. Web applications have become the target of malicious users. They exploit web application vulnerabilities to gain access to unauthorized resources and sensitive data, with consequences for users and businesses alike. The growing complexi(...)
Deep Learning, Web application, Vulnerability, Detection, Large Language Model
ARTICLE
Deep Learning and Web Applications Vulnerabilities Detection: An Approach Based on Large Language Models
NANA Sidwendluian Romaric, BASSOLE Didier, GUEL Desire, SIE Oumarou
Web applications are part of the daily life of Internet users, who find services in all sectors of activity. Web applications have become the target of malicious users. They exploit web application vulnerabilities to gain access to unauthorized resources and sensitive data, with consequences for users and businesses alike. The growing complexi(...)
Deep learning, Web application, Vulnerability, Detection, Large language model
ARTICLE
A comparison of AI methods for Groundwater Level Prediction in Burkina Faso
Abdoul Aziz Bonkoungou, Souleymane Zio, Aminata Sabane, Rodrique Kafando, Abdoul Kader Kabore, Tégawendé F Bissyandé
Groundwater serves as a valuable resource to supplement surface water, and its extensive utilization underscores the importance of precise groundwater level predictions. Burkina Faso confronts a critical challenge in the domain of sustainable groundwater resource management, underscoring the need for accurate forecasts of groundwater levels to(...)
Mots clés non renseignés
ARTICLE
Detecting Illicit Data Leaks on Android Smartphones Using an Artificial Intelligence Models
Serge Lionel Nikiema, Aminata Sabane, Abdoul-Kader Kabore, Rodrique Kafando & Tégawendé F. Bissyande
In today’s digital landscape, hackers and espionage agents are increasingly targeting Android, the world’s most prevalent mobile operating system. We introduce DeepDetector - a system based on artificial intelligence to recognize data thefts in Android. This model is based upon a large dataset comprising of clean and tainted network traffic tr(...)
Mots clés non renseignés