过去一年中添加的文章，按日期排序
Learning Adaptive and View-Invariant Vision Transformer for Real-Time UAV Tracking
31 天前 - … and versatility of our approach, positioning it as a state-of-… of ViTs for UAV tracking,
we introduce a novel approach to … and substantiate its SOTA performance in UAV tracking. …
we introduce a novel approach to … and substantiate its SOTA performance in UAV tracking. …
Robust Trajectory and Resource Allocation for UAV Communications in Uncertain Environments With No-Fly Zone: A Deep Learning Approach
W Lee, K Lee - IEEE Transactions on Intelligent Transportation …, 2024 - ieeexplore.ieee.org
46 天前 - … Through performance evaluations, we demonstrate that the … Our approach aims
to maximize the minimum SE while … for the positioning error in the trajectory of the UAV, we …
to maximize the minimum SE while … for the positioning error in the trajectory of the UAV, we …
Fast Online Movement Optimization of Aerial Base Stations Based on Global Connectivity Map
64 天前 - … a user-majority-based adaptive UAV deployment approach [4]. … ABS placement
sub-problems, each aiming to maximize the … Fu, “Spatial deep learning for sitespecific movement …
sub-problems, each aiming to maximize the … Fu, “Spatial deep learning for sitespecific movement …
UAV-enabled Collaborative Beamforming via Multi-Agent Deep Reinforcement Learning
87 天前 - … of all UAVs by optimizing the positions and excitation … use the deep neural network
(DNN) for policy learning. … that all UAVs optimized by other MADRL approaches can achieve …
(DNN) for policy learning. … that all UAVs optimized by other MADRL approaches can achieve …
AP Connection Method for Maximizing Throughput Considering Moving User and Degree of Interference Based on Potential Game
108 天前 - … approach to access point connectivity which maximizes … user via relaying terminals
such as other users or drones, … ’ optimal positions, and the system throughput by varying the …
such as other users or drones, … ’ optimal positions, and the system throughput by varying the …
Energy harvesting UAV-RIS-assisted maritime communications based on deep reinforcement learning against jamming
131 天前 - … a UAV-RIS is deployed to jointly adjust its placement and RIS … Hence, we adopt the
SD3 approach for the UAV-RIS-… and machine learning applied in wireless communications. …
SD3 approach for the UAV-RIS-… and machine learning applied in wireless communications. …
Optimal Dynamic Resource Allocation for Multi-RIS Assisted Wireless Network: A Causal Reinforcement Learning Approach
Y Zhang, H Xu - … Conference on Computing, Networking and …, 2024 - ieeexplore.ieee.org
141 天前 - … and enhance dynamic wireless network performance. … for UAV placement and
resource allocation in a multi-RIS, … Ten challenges in advancing machine learning technologies …
resource allocation in a multi-RIS, … Ten challenges in advancing machine learning technologies …
Resource Allocation and Placement for Tethered Flying Platform-Aided IAB Network: Distributed DQN Approach
Y Lee, H Lee - 2024 IEEE 21st Consumer Communications & …, 2024 - ieeexplore.ieee.org
183 天前 - … the average packet throughput performance over the ground … to maximize the
network sum rate in a multi-tethered UAV (TUAV) network. This study proposes a distributed deep …
network sum rate in a multi-tethered UAV (TUAV) network. This study proposes a distributed deep …
Reinforcement Learning based Sum Rate Maximization for UAV-Assisted NOMA System
M Hosam, M Ehab, B Mohammed… - … , and Computations …, 2023 - ieeexplore.ieee.org
202 天前 - … learning (RL) approach to optimize the position of the … as deep learning (DL) and
deep reinforcement learning (DRL… on the observed positions and maximizing the data rate, we …
deep reinforcement learning (DRL… on the observed positions and maximizing the data rate, we …
Learning-based reliable and secure transmission for UAV-RIS-assisted communication systems
215 天前 - … approach assisted by the UAV-RIS to maximize the secrecy … key applications and
use cases of machine learning in … the importance of our proposed joint UAV-RIS placement …
use cases of machine learning in … the importance of our proposed joint UAV-RIS placement …