تصفح حسب الموضوع "deep reinforcement learning"
السجلات المعروضة 1 -- 10 من 10
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A DEEP REINFORCEMENT LEARNING-ENABLED DYNAMIC REDEPLOYMENT SYSTEM FOR MOBILE AMBULANCES IN QATAR
(2024 , Master Thesis)Efficient allocation of ambulances is crucial for Emergency Medical Services (EMS) to respond promptly and deliver life-saving care on time. The challenge lies in the ambulance redeployment problem, which aims to devise ... -
Advanced Deep Learning for Resource Allocation and Security Aware Data Offloading in Industrial Mobile Edge Computing
( Mary Ann Liebert Inc. , 2021 , Article)The Internet of Things (IoT) is permeating our daily lives through continuous environmental monitoring and data collection. The promise of low latency communication, enhanced security, and efficient bandwidth utilization ... -
Artificial Intelligence Empowered QoS-Oriented Network Association for Next-Generation Mobile Networks
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)The increasing complexity and dynamics of 5G mobile networks have brought revolutionary changes in its modeling and control, where efficient routing and resource allocation strategies become beneficial. Software-Defined ... -
A Hybrid Deep Reinforcement Learning for Autonomous Vehicles Smart-Platooning
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)The development of Autonomous Vehicles (AVs) envisions the promising technology of future Intelligent Transportation Systems (ITS). However, the complex road structures and increased vehicles cause traffic congestion and ... -
Joint Flight Cruise Control and Data Collection in UAV-Aided Internet of Things: An Onboard Deep Reinforcement Learning Approach
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Employing unmanned aerial vehicles (UAVs) as aerial data collectors in Internet-of-Things (IoT) networks is a promising technology for large-scale environment sensing. A key challenge in UAV-aided data collection is that ... -
Multi-Agent Reinforcement Learning for Network Selection and Resource Allocation in Heterogeneous Multi-RAT Networks
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)The rapid production of mobile devices along with the wireless applications boom is continuing to evolve daily. This motivates the exploitation of wireless spectrum using multiple Radio Access Technologies (multi-RAT) and ... -
Optimal Trajectory and Positioning of UAVs for Small Cell HetNets: Geometrical Analysis and Reinforcement Learning Approach
( IEEE , 2023 , Article)In this paper, a dynamic unmanned aerial vehicle (UAV)-based heterogeneous network (HetNet) equipped with directional terahertz (THz) antennas is studied to solve the problem of transferring massive traffic of distributed ... -
Patient-Driven Network Selection in multi-RAT Health Systems Using Deep Reinforcement Learning
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)The recent pandemic along with the rapid increase in the number of patients that require continuous remote monitoring imposes several challenges to support the high quality of services (QoS) in remote health applications. ... -
QDRL: QoS-Aware Deep Reinforcement Learning Approach for Tor's Circuit Scheduling
( IEEE Computer Society , 2022 , Article)Tor is a popular anonymity network adopted by more than two million users to preserve their privacy. Tor was mainly developed as a low-latency network to support interactive web browsing and messaging applications. However, ... -
UAV Trajectory Optimization for Directional THz Links Using Deep Reinforcement Learning
( IEEE , 2023 , Conference Paper)As an alternative solution for quick disaster recovery of backhaul/fronthaul links, in this paper, a dynamic unmanned aerial vehicles (UAV)-assisted heterogeneous (HetNet) network equipped with directional terahertz (THz) ...