Variable Speed Limit Control for the Motorway–Urban Merging Bottlenecks Using Multi-Agent Reinforcement Learning
X Fang, T Péter, T Tettamanti - Sustainability, 2023 - mdpi.com
Traffic congestion is a typical phenomenon when motorways meet urban road networks. At
this special location, the weaving area is a recurrent traffic bottleneck. Numerous research …
this special location, the weaving area is a recurrent traffic bottleneck. Numerous research …
SpaceRIS: LEO satellite coverage maximization in 6G sub-THz networks by MAPPO DRL and whale optimization
Satellite systems face a significant challenge in effectively utilizing limited communication
resources to meet the demands of ground network traffic, characterized by asymmetrical …
resources to meet the demands of ground network traffic, characterized by asymmetrical …
From 5G to 6G Networks, a Survey on AI-Based Jamming and Interference Detection and Mitigation
Fifth-generation and Beyond (5GB) networks are transformational technologies to
revolutionize future wireless communications in terms of massive connectivity, higher …
revolutionize future wireless communications in terms of massive connectivity, higher …
Online Optimization in UAV-Enabled MEC System: Minimizing Long-Term Energy Consumption Under Adapting to Heterogeneous Demands
Y Zeng, S Chen, J Li, Y Cui, J Du - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) can work as a flying computing platform to supply
computation services to users when the terrestrial infrastructure is insufficient or damaged …
computation services to users when the terrestrial infrastructure is insufficient or damaged …
Distributed Safe Multi-Agent Reinforcement Learning: Joint Design of THz-enabled UAV Trajectory and Channel Allocation
A Termehchi, A Syed, WS Kennedy… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
6G is anticipated to play a foundational role in realizing various emerging entertainment
applications and critical societal services, such as smart agriculture, public safety, and so on …
applications and critical societal services, such as smart agriculture, public safety, and so on …
Cooperative Multi-Agent Deep Reinforcement Learning Methods for UAV-aided Mobile Edge Computing Networks
This paper presents a cooperative multi-agent deep reinforcement learning (MADRL)
approach for unmmaned aerial vehicle (UAV)-aided mobile edge computing (MEC) …
approach for unmmaned aerial vehicle (UAV)-aided mobile edge computing (MEC) …
Multi-objective Optimization for Multi-UAV-assisted Mobile Edge Computing
Recent developments in unmanned aerial vehicles (UAVs) and mobile edge computing
(MEC) have provided users with flexible and resilient computing services. However, meeting …
(MEC) have provided users with flexible and resilient computing services. However, meeting …
Energy-Efficient THz NOMA for SWIPT-aided Miniature UAV Networks
J Jalali, A Khalili, H Tabassum… - IEEE …, 2024 - ieeexplore.ieee.org
This letter focuses on maximizing the energy efficiency (EE) of a cooperative network
involving miniature unmanned aerial vehicles (UAV) operating at terahertz (THz) …
involving miniature unmanned aerial vehicles (UAV) operating at terahertz (THz) …
Enhancing Wireless Networks with Attention Mechanisms: Insights from Mobile Crowdsensing
The increasing demand for sensing, collecting, transmitting, and processing vast amounts of
data poses significant challenges for resource-constrained mobile users, thereby impacting …
data poses significant challenges for resource-constrained mobile users, thereby impacting …
UAV Relay Energy Consumption Minimization in an MEC-Assisted Marine Data Collection System
W Xu, L Gu - Journal of Marine Science and Engineering, 2023 - mdpi.com
Recently, unmanned aerial vehicle (UAV)-assisted maritime communication systems have
drawn considerable attention due to their potential for broadband maritime communication …
drawn considerable attention due to their potential for broadband maritime communication …