Titre : | Resource slicing for UAVs communications | Type de document : | document multimédia | Auteurs : | Tarek Bouzid, Auteur ; Noureddine Chaïb, Directeur de thèse ; Mohamed Lahcen Ben Saad, Directeur de thèse | Editeur : | Laghouat : Université Amar Telidji - Département d'informatique | Année de publication : | 2024 | Importance : | 165 p. | Langues : | Anglais | Mots-clés : | UAV Network Slicing UAV-Assisted Networks UAV-Assisted Slicing Beyond 5G SDN | Résumé : | Traditional networks struggle to adapt to the diverse needs and performance requirements of modern applications and users, prompting a need for an innovative network slicing mechanism. While previous network solutions focused on a “one size fits all” approach, the introduction of network slices has emerged to address resource efficiency and specific Quality of Service (QoS) levels for varied applications. However, limitations and challenges in meeting diverse QoS requirements still remain due to the fixed nature of radio Base Stations (BSs).
This dissertation addresses the limitations of current network approaches by leveraging Unmanned Aerial Vehicles (UAVs) as mobile relays, offering innovative solutions such as incentive-driven crowd-sourcing, UAVs as a Service (UaaS) framework, and custom UAV attributes for dedicated network slice needs.
More specifically, surveying existing UAV works in the context of network slicing reveals some gaps in comprehensive UAV solutions for all network slices. Our research aims to fill this void, introducing a UaaS framework within the existing network infrastructure. This framework allows users to request on-demand connectivity, transforming UAVs into vital, dynamic components of communication architectures.
This thesis also focuses on leveraging crowd-sourced UAVs in an incentivedriven environment to improve slice delivery performance. Indeed, this proposed system ensures fairness and profit for the system providers and UAV owners, encouraging the exploitation of user-owned UAVs. To enhance performance further, customized and dedicated UAVs are also introduced, featuring specialized capabilities to match the specific network slice users’ requirements. This research not only paves the way for a future where UAVs play a central role in superior network slice performance but also provides opportunities for service providers to increase network range, flexibility, accessibility, and profit. | note de thèses : | Thése de doctorat en informatique |
Resource slicing for UAVs communications [document multimédia] / Tarek Bouzid, Auteur ; Noureddine Chaïb, Directeur de thèse ; Mohamed Lahcen Ben Saad, Directeur de thèse . - Laghouat : Université Amar Telidji - Département d'informatique, 2024 . - 165 p. Langues : Anglais Mots-clés : | UAV Network Slicing UAV-Assisted Networks UAV-Assisted Slicing Beyond 5G SDN | Résumé : | Traditional networks struggle to adapt to the diverse needs and performance requirements of modern applications and users, prompting a need for an innovative network slicing mechanism. While previous network solutions focused on a “one size fits all” approach, the introduction of network slices has emerged to address resource efficiency and specific Quality of Service (QoS) levels for varied applications. However, limitations and challenges in meeting diverse QoS requirements still remain due to the fixed nature of radio Base Stations (BSs).
This dissertation addresses the limitations of current network approaches by leveraging Unmanned Aerial Vehicles (UAVs) as mobile relays, offering innovative solutions such as incentive-driven crowd-sourcing, UAVs as a Service (UaaS) framework, and custom UAV attributes for dedicated network slice needs.
More specifically, surveying existing UAV works in the context of network slicing reveals some gaps in comprehensive UAV solutions for all network slices. Our research aims to fill this void, introducing a UaaS framework within the existing network infrastructure. This framework allows users to request on-demand connectivity, transforming UAVs into vital, dynamic components of communication architectures.
This thesis also focuses on leveraging crowd-sourced UAVs in an incentivedriven environment to improve slice delivery performance. Indeed, this proposed system ensures fairness and profit for the system providers and UAV owners, encouraging the exploitation of user-owned UAVs. To enhance performance further, customized and dedicated UAVs are also introduced, featuring specialized capabilities to match the specific network slice users’ requirements. This research not only paves the way for a future where UAVs play a central role in superior network slice performance but also provides opportunities for service providers to increase network range, flexibility, accessibility, and profit. | note de thèses : | Thése de doctorat en informatique |
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