HAP-assisted RSMA-enabled vehicular edge computing: A DRL-based optimization framework

TH Nguyen, L Park - Mathematics, 2023 - mdpi.com
In recent years, the demand for vehicular edge computing (VEC) has grown rapidly due to
the increasing need for low-latency and high-throughput applications such as autonomous …

Empowering smart cities: High-altitude platforms based Mobile Edge Computing and Wireless Power Transfer for efficient IoT data processing

A Nauman, N Alruwais, E Alabdulkreem, N Nemri… - Internet of Things, 2023 - Elsevier
This work presents an efficient framework that combines High Altitude Platform (HAP)-based
Mobile Edge Computing (MEC) networks with Wireless Power Transfer (WPT) to optimize …

Computation offloading in NOMA-MEC-enabled aerial-vehicular networks exploiting mmWave capabilities

A Umar, SA Hassan, H Jung, S Garg, MS Hossain… - Computer Networks, 2024 - Elsevier
In recent years, there has been a significant interest in ubiquitous coverage, high data rate
connectivity, and mobile edge computing (MEC) as crucial services within the future sixth …

Recent studies on deep reinforcement learning in RIS-UAV communication networks

TH Nguyen, H Park, L Park - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) and reconfigurable intelligent surface (RIS) technologies
have recently been identified as enablers for future wireless networks. Deep reinforcement …

[HTML][HTML] On sum-rate maximization in downlink UAV-aided RSMA systems

DT Hua, QT Do, NN Dao, S Cho - ICT Express, 2024 - Elsevier
The synergy of uncrewed aerial vehicles (UAVs) and the rate-splitting multiple access
(RSMA) technique has thrived as a crucial enabler for multi-user broadband sixth …

TD3-Based Optimization Framework for RSMA-Enhanced UAV-Aided Downlink Communications in Remote Areas

TH Nguyen, LV Nguyen, LM Dang, VT Hoang, L Park - Remote Sensing, 2023 - mdpi.com
The need for reliable wireless communication in remote areas has led to the adoption of
unmanned aerial vehicles (UAVs) as flying base stations (FlyBSs). FlyBSs hover over a …

Cooperative user relaying with rsma for 6g networks: Overview, research challenges and future trends

CM Ho, TV Nguyen, C Lee… - 2023 International …, 2023 - ieeexplore.ieee.org
Cooperative user relaying (CUR) is emerged as an effective framework for 6G networks to
address and improve the coverage, system capacity, and transference reliability, without the …

Applications of Deep Learning and Deep Reinforcement Learning in 6G Networks

TH Nguyen, H Park, K Seol, S So… - … on Ubiquitous and …, 2023 - ieeexplore.ieee.org
As the demand for data-driven applications and emerging technologies such as extended
reality, autonomous vehicles, and the Internet of Things (IoT) continues to grow, the …

Towards optimal edge resource utilization: Predictive analytics and reinforcement learning for task offloading

S Pradhan, S Tripathy, R Matam - Internet of Things, 2024 - Elsevier
Edge computing brings computation closer to the user devices. This proximity allows user
devices with limited resources to execute complex and computation-intensive tasks on the …

Intelligent Online Offloading and Resource Allocation for HAP Drones and Satellite Collaborative Networks

C Gao, X Bian, B Hu, S Chen, H Wang - Drones, 2024 - mdpi.com
High-altitude platform (HAP) drones and satellites collaborate to form a network that
provides edge computing services to terrestrial internet of things (IoT) devices, which is …