Trajectory tracking control of autonomous vehicle with random network delay

Z Luan, J Zhang, W Zhao… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
… network bandwidth limitations in practice, the increasingcontrol of networked control
systems with communication … of random network delay on the system performance is positively …

Deep reinforcement learning based latency minimization for mobile edge computing with virtualization in maritime UAV communication network

Y Liu, J Yan, X Zhao - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
latency requirements of maritime users by optimal trajectoryimprove the latency performance.
However, it is obvious that DDPG algorithm has better latency performance improvement

3D UAV placement and trajectory optimization in UAV assisted wireless networks

DS Lakew, A Masood, S Cho - 2020 International Conference …, 2020 - ieeexplore.ieee.org
dynamic path planning algorithm deployed at the control station to improve latency and
throughput … considerably affect the performance of UAV-assisted wireless communications. The …

On-ramp merging strategies of connected and automated vehicles considering communication delay

Y Fang, H Min, X Wu, W Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
… a communication delay estimation method to improve the dynamic performance of control. In
… Once the identity i is assigned, control law of the trajectory planning for the vehicle Vi will be …

Deep reinforcement learning based dynamic trajectory control for UAV-assisted mobile edge computing

L Wang, K Wang, C Pan, W Xu, N Aslam… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
… Experience Replay (PER) to improve the convergence of the … Then, we show the
convergence performance of RAT in … Zhang, “Joint trajectory and communication design for multi-…

Many-to-many matching-theory-based dynamic bandwidth allocation for UAVs

Q Zhang, H Wang, Z Feng, Z Han - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
… the system throughput, the conventional UAV trajectory change … emergency communication
network, to meet the delay … the achievable throughput and delay requirement to help delay-…

Peekaboo: Learning-based multipath scheduling for dynamic heterogeneous environments

H Wu, Ö Alay, A Brunstrom, S Ferlin… - … in Communications, 2020 - ieeexplore.ieee.org
bandwidth and RTT delay characteristics of the paths to quantify their heterogeneity. While
Path 1 mimics a slower link with 2Mbps bandwidth … cannot significantly improve performance. …

UAVs joint optimization problems and machine learning to improve the 5G and Beyond communication

Z Ullah, F Al-Turjman, U Moatasim, L Mostarda… - Computer Networks, 2020 - Elsevier
… is to enhance various QoS eg, minimum, average, and delay-… solved through the Trajectory
control algorithm, supported by … performance in UAVs joint optimization issues to enhance the …

An adaptive traffic routing approach toward load balancing and congestion control in Cloud–MANET ad hoc networks

S Dalal, B Seth, V Jaglan, M Malik, Surbhi, N Dahiya… - Soft Computing, 2022 - Springer
… the role of the Cloud–MANET framework for communication … a multiple-path congestion
control algorithm was proposed in … algorithms in terms of achieved throughput, end-to-end delay, …

[PDF][PDF] Detection Collision Flows in SDN Based 5G Using Machine Learning Algorithms.

A Aqdus, R Amin, S Ramzan… - … Materials & Continua, 2023 - cdn.techscience.cn
… Abstract: The rapid advancement of wireless communication is … delay in 5G network,
bandwidth usage, latency rate, and … [38] introduced two methods for dynamic path optimization: …