학술논문

Differentiated QoS DDPG-based Slicing and Drone Positioning for Next Generation Networks
Document Type
Conference
Source
2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT) DCOSS-IOT Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), 2024 20th International Conference on. :315-322 Apr, 2024
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
6G mobile communication
Wireless communication
Adaptation models
Heuristic algorithms
Quality of service
Autonomous aerial vehicles
Throughput
Deep reinforcement learning
Drone
Slicing
Quality Of Service
Language
ISSN
2325-2944
Abstract
In the imminent era of 6G, Unmanned Aerial Vehicles (UAVs) emerge as indispensable connectors, seamlessly integrating ground and space networks with unparalleled flexibility and dynamic mobility. This article focuses on enhancing Quality of Service (QoS) by categorizing users into Premium, Silver, and Bronze tiers, akin to 5G slicing. Leveraging Deep Deterministic Policy Gradient (DDPG), the study unfolds in two phases. In the first phase, UAVs are strategically deployed using DDPG to optimize network coverage in areas of higher user density. This intelligent deployment adapts to user distribution patterns. In the second phase, dynamic repositioning using DDPG meets QoS requirements by prioritizing users based on categories. This two-phase approach showcases UAV adaptability in optimizing wireless communication systems in the evolving landscape of 6G networks. The proposed solution, driven by DDPG, ensures optimal coverage and responsiveness to diverse user needs.