Joint trajectory and resource optimization of MEC-assisted UAVs in sub-THz networks: A resources-based multi-agent proximal policy optimization DRL with attention …
The use of Terahertz (THz) technology in sixth-generation (6G) networks will bring high-
speed and capacity data services. But limitations like molecular absorption, rain attenuation …
speed and capacity data services. But limitations like molecular absorption, rain attenuation …
3TO: THz-enabled throughput and trajectory optimization of UAVs in 6G networks by proximal policy optimization deep reinforcement learning
Next-generation networks need to meet ubiquitous and high data-rate demand. Therefore,
this paper considers the throughput and trajectory optimization of terahertz (THz)-enabled …
this paper considers the throughput and trajectory optimization of terahertz (THz)-enabled …
Joint UAV Deployment and Resource Allocation in THz-Assisted MEC-Enabled Integrated Space-Air-Ground Networks
Multi-access edge computing (MEC)-enabled integrated space-air-ground (SAG) networks
have drawn much attention recently, as they can provide communication and computing …
have drawn much attention recently, as they can provide communication and computing …
A Deep Reinforcement Learning Based Approach for Optimizing Trajectory and Frequency in Energy Constrained Multi-UAV Assisted MEC System
B Shi, Z Chen, Z Xu - IEEE Transactions on Network and …, 2024 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) is a technology that shows great promise in enhancing the
computational power of smart devices (SDs) in the Internet of Things (IoT). However, the …
computational power of smart devices (SDs) in the Internet of Things (IoT). However, the …
Deep reinforcement learning based resource allocation and trajectory planning in integrated sensing and communications UAV network
Y Qin, Z Zhang, X Li, W Huangfu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this paper, multi-UAVs serve as mobile aerial ISAC platforms to sense and communicate
with on-ground target users. To optimize the communication and sensing performance, we …
with on-ground target users. To optimize the communication and sensing performance, we …
An actor-critic-based UAV-BSs deployment method for dynamic environments
In this paper, the real-time deployment of unmanned aerial vehicles (UAVs) as flying base
stations (BSs) for optimizing the throughput of mobile users is investigated for UAV networks …
stations (BSs) for optimizing the throughput of mobile users is investigated for UAV networks …
Trajectory design and bandwidth assignment for UAVs-enabled communication network with multi-agent deep reinforcement learning
W Wang, Y Lin - 2021 IEEE 94th Vehicular Technology …, 2021 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) is considered as a promising technique to enhance future
wireless mobile communication. In this paper, the UAVs serve as aerial base stations …
wireless mobile communication. In this paper, the UAVs serve as aerial base stations …
Multi-agent reinforcement learning trajectory design and two-stage resource management in CoMP UAV VLC networks
In this paper, we consider unmanned aerial vehicles (UAVs) equipped with a visible light
communication (VLC) access point and coordinated multipoint (CoMP) capability that allows …
communication (VLC) access point and coordinated multipoint (CoMP) capability that allows …
Priority-aware path planning and user scheduling for UAV-mounted MEC networks: A deep reinforcement learning approach
X Zheng, Y Wu, L Zhang, M Tang, F Zhu - Physical Communication, 2024 - Elsevier
Owing to the flexibility and controllability, unmanned aerial vehicle (UAV) is frequently
integrated into mobile edge computing (MEC) network to improve the system performance …
integrated into mobile edge computing (MEC) network to improve the system performance …
A DRL strategy for optimal resource allocation along with 3D trajectory dynamics in UAV-MEC network
Advances in Unmanned Air Vehicle (UAV) technology have paved a way for numerous
configurations and applications in communication systems. However, UAV dynamics play an …
configurations and applications in communication systems. However, UAV dynamics play an …