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20212026
most citedJoint Trajectory and Resource Optimization of MEC-Assisted UAVs in Sub-THz Networks: A Resources-based Multi-Agent Proximal Policy Optimization DRL with Attention Mechanism

60 citations · 146 across the 12 of their papers we have counts for

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7 papers · 1 filter

cs.NI2022★ 1 cited

Satellite-based ITS Data Offloading & Computation in 6G Networks: A Cooperative Multi-Agent Proximal Policy Optimization DRL with Attention Approach

Sheikh Salman Hassan, Yu Min Park, Yan Kyaw Tun +3

The proliferation of intelligent transportation systems (ITS) has led to increasing demand for diverse network applications. However, conventional terrestrial access networks (TANs…

cs.NI2022★ 60 cited

Joint Trajectory and Resource Optimization of MEC-Assisted UAVs in Sub-THz Networks: A Resources-based Multi-Agent Proximal Policy Optimization DRL with Attention Mechanism

Yu Min Park, Sheikh Salman Hassan, Yan Kyaw Tun +2

THz band communication technology will be used in the 6G networks to enable high-speed and high-capacity data service demands. However, THz-communication losses arise owing to limi…

cs.DC2022★ 6 cited

Federated Learning for Digital Twin-Based Vehicular Networks: Architecture and Challenges

Latif U. Khan, Ehzaz Mustafa, Junaid Shuja +4

Emerging intelligent transportation applications, such as accident reporting, lane change assistance, collision avoidance, and infotainment, will be based on diverse requirements (…

cs.NI2022★ 5 cited

Energy-Efficient Communication Networks via Multiple Aerial Reconfigurable Intelligent Surfaces: DRL and Optimization Approach

Pyae Sone Aung, Yu Min Park, Yan Kyaw Tun +2

In the realm of wireless communications in 5G, 6G and beyond, deploying unmanned aerial vehicle (UAV) has been an innovative approach to extend the coverage area due to its easy de…

cs.IT2022★ 1 cited

Deep Reinforcement Learning Coordinated Receiver Beamforming for Millimeter-Wave Train-ground Communications

Xutao Zhou, Xiangfei Zhang, Chen Chen +6

As more and more people choose high-speed rail (HSR) as a means of transportation for short trips, there is ever growing demand of high quality of multimedia services. With its ric…

cs.NI2022

3TO: THz-Enabled Throughput and Trajectory Optimization of UAVs in 6G Networks by Proximal Policy Optimization Deep Reinforcement Learning

Sheikh Salman Hassan, Yu Min Park, Yan Kyaw Tun +3

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 un…

cs.NI2022

Blue Data Computation Maximization in 6G Space-Air-Sea Non-Terrestrial Networks

Sheikh Salman Hassan, Yan Kyaw Tun, Walid Saad +2

Non-terrestrial networks (NTN), encompassing space and air platforms, are a key component of the upcoming sixth-generation (6G) cellular network. Meanwhile, maritime network traffi…