Innovative approach to enhancing MAC protocols in modern wireless networks / Mohammed el fatih Hamrit

Public ISBD Titre : Innovative approach to enhancing MAC protocols in modern wireless networks Type de document : document électronique Auteurs : Mohammed el fatih Hamrit ; Moncef Guezati, Auteur ; Aissaoui, mohammed, Directeur de thèse Editeur : Setif:UFA Année de publication : 2025 Importance : 1 vol (62 f .) Format : 29 cm Langues : Anglais (eng) Catégories : Thèses & Mémoires:Informatique Mots-clés : Innovative approach Wireless networks Index. décimale : 004 Informatique Résumé : Modern wireless networks face significant challenges in managing interference and efficiently accessing the medium, especially in densely deployed, dynamic environments. This thesis first presents a comprehensive review of multi-hop wireless networks, detailing the evolution of network architectures, interference management strategies, and the pivotal role of network coding—particularly Physical-layer Network Coding (PNC)—in enhancing throughput and reliability. Building on this foundation, we propose a novel AI-based PNC MAC protocol (AI-PNCMP) for Two-Way Relay Channels, where Long Short-Term Memory (LSTM) and Temporal Convolutional Network (TCN) models are employed to predict transmission behaviour at the relay node. By accurately forecasting when simultaneous transmissions occur, the relay can dynamically choose between ordinary and PNC modes, enhancing slot utilization and improving overall delay and throughput metrics. Simulation experiments using Python, TensorFlow, and Keras demonstrate that our adaptive approach mitigates traditional MAC protocols’ limitations and offers substantial gains in network performance. This work underscores the potential of integrating predictive intelligence into the MAC layer, laying a solid foundation for future research in adaptive and intelligent wireless communication systems. Note de contenu : Sommaire General introduction 1 1 State of the art 3 1.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.2 Multi-hop Wireless Networks: Generality . . . . . . . . . . . . . . . . . . . 3 1.2.1 Evolution of Multi-Hop Wireless Network Architecture . . . . . . . 4 1.2.2 Practical Applications of Multi-Hop Wireless Networks . . . . . . . 7 1.2.3 Types of Multi-Hop Wireless Networks . . . . . . . . . . . . . . . . 8 1.2.4 Applications of Multi-Hop Wireless Networks . . . . . . . . . . . . 9 1.3 Interference Management: An Overview . . . . . . . . . . . . . . . . . . . 10 1.3.1 What is an Interference? . . . . . . . . . . . . . . . . . . . . . . . . 10 1.3.2 Interference Management Methods . . . . . . . . . . . . . . . . . . 12 1.4 Network Coding (NC) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 1.4.1 How Network Coding Enhances Communication . . . . . . . . . . . 15 1.4.2 Network Coding Applications . . . . . . . . . . . . . . . . . . . . . 16 1.4.3 Butterfly Network Topology . . . . . . . . . . . . . . . . . . . . . . 17 1.4.4 Physical-Layer Network Coding (PNC) . . . . . . . . . . . . . . . . 19 1.5 Related Work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 1.6 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25 2 The proposed solution 26 2.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 2.2 Motivation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 2.3 AI-Based PNC MAC Protocols . . . . . . . . . . . . . . . . . . . . . . . . 27 2.3.1 Limitations of the traditional PNC . . . . . . . . . . . . . . . . . . 27 2.3.2 Objectives of AI-Based PNC MAC Protocol (AI-PNCMP) . . . . . 28 2.3.3 AI-Based PNC MAC Protocol (AI-PNCMP) . . . . . . . . . . . . 29 2.3.4 Assumptions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29 2.3.5 AI-PNCMP Steps . . . . . . . . . . . . . . . . . . . . . . . . . . . 30 2.4 Illustrative Example . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40 2.5 Evaluation Metrics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44 2.5.1 AI-Model evaluation metrics . . . . . . . . . . . . . . . . . . . . . 44 2.5.2 Networking Evaluation Metrics . . . . . . . . . . . . . . . . . . . . 45 2.6 Simulation and Results Analysis . . . . . . . . . . . . . . . . . . . . . . . . 46 2.6.1 Frameworks and tools . . . . . . . . . . . . . . . . . . . . . . . . . 46 2.6.2 Experimental environment . . . . . . . . . . . . . . . . . . . . . . . 46 2.6.3 Result analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47 2.7 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54 Conclusion and perspectives 55 Bibliography 56 Côte titre : MAI/1006 Innovative approach to enhancing MAC protocols in modern wireless networks [document électronique] / Mohammed el fatih Hamrit ; Moncef Guezati, Auteur ; Aissaoui, mohammed, Directeur de thèse . - [S.l.] : Setif:UFA, 2025 . - 1 vol (62 f .) ; 29 cm. Langues : Anglais (eng) Catégories : Thèses & Mémoires:Informatique Mots-clés : Innovative approach Wireless networks Index. décimale : 004 Informatique Résumé : Modern wireless networks face significant challenges in managing interference and efficiently accessing the medium, especially in densely deployed, dynamic environments. This thesis first presents a comprehensive review of multi-hop wireless networks, detailing the evolution of network architectures, interference management strategies, and the pivotal role of network coding—particularly Physical-layer Network Coding (PNC)—in enhancing throughput and reliability. Building on this foundation, we propose a novel AI-based PNC MAC protocol (AI-PNCMP) for Two-Way Relay Channels, where Long Short-Term Memory (LSTM) and Temporal Convolutional Network (TCN) models are employed to predict transmission behaviour at the relay node. By accurately forecasting when simultaneous transmissions occur, the relay can dynamically choose between ordinary and PNC modes, enhancing slot utilization and improving overall delay and throughput metrics. Simulation experiments using Python, TensorFlow, and Keras demonstrate that our adaptive approach mitigates traditional MAC protocols’ limitations and offers substantial gains in network performance. This work underscores the potential of integrating predictive intelligence into the MAC layer, laying a solid foundation for future research in adaptive and intelligent wireless communication systems. Note de contenu : Sommaire General introduction 1 1 State of the art 3 1.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.2 Multi-hop Wireless Networks: Generality . . . . . . . . . . . . . . . . . . . 3 1.2.1 Evolution of Multi-Hop Wireless Network Architecture . . . . . . . 4 1.2.2 Practical Applications of Multi-Hop Wireless Networks . . . . . . . 7 1.2.3 Types of Multi-Hop Wireless Networks . . . . . . . . . . . . . . . . 8 1.2.4 Applications of Multi-Hop Wireless Networks . . . . . . . . . . . . 9 1.3 Interference Management: An Overview . . . . . . . . . . . . . . . . . . . 10 1.3.1 What is an Interference? . . . . . . . . . . . . . . . . . . . . . . . . 10 1.3.2 Interference Management Methods . . . . . . . . . . . . . . . . . . 12 1.4 Network Coding (NC) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 1.4.1 How Network Coding Enhances Communication . . . . . . . . . . . 15 1.4.2 Network Coding Applications . . . . . . . . . . . . . . . . . . . . . 16 1.4.3 Butterfly Network Topology . . . . . . . . . . . . . . . . . . . . . . 17 1.4.4 Physical-Layer Network Coding (PNC) . . . . . . . . . . . . . . . . 19 1.5 Related Work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 1.6 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25 2 The proposed solution 26 2.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 2.2 Motivation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 2.3 AI-Based PNC MAC Protocols . . . . . . . . . . . . . . . . . . . . . . . . 27 2.3.1 Limitations of the traditional PNC . . . . . . . . . . . . . . . . . . 27 2.3.2 Objectives of AI-Based PNC MAC Protocol (AI-PNCMP) . . . . . 28 2.3.3 AI-Based PNC MAC Protocol (AI-PNCMP) . . . . . . . . . . . . 29 2.3.4 Assumptions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29 2.3.5 AI-PNCMP Steps . . . . . . . . . . . . . . . . . . . . . . . . . . . 30 2.4 Illustrative Example . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40 2.5 Evaluation Metrics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44 2.5.1 AI-Model evaluation metrics . . . . . . . . . . . . . . . . . . . . . 44 2.5.2 Networking Evaluation Metrics . . . . . . . . . . . . . . . . . . . . 45 2.6 Simulation and Results Analysis . . . . . . . . . . . . . . . . . . . . . . . . 46 2.6.1 Frameworks and tools . . . . . . . . . . . . . . . . . . . . . . . . . 46 2.6.2 Experimental environment . . . . . . . . . . . . . . . . . . . . . . . 46 2.6.3 Result analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47 2.7 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54 Conclusion and perspectives 55 Bibliography 56 Côte titre : MAI/1006

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
MAI/1006	MAI/1006	Mémoire	Bibliothèque des sciences	Anglais	Disponible Disponible

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