Deep reinforcement learning for user access control in UAV networks
Unmanned Aerial Vehicles (UAV) are recently proposed as the flying base stations (BS),
namely, UAV-BS, to boost the capacity as well as extend the coverage of the current …
namely, UAV-BS, to boost the capacity as well as extend the coverage of the current …
Joint communication scheduling and velocity control in multi-UAV-assisted sensor networks: A deep reinforcement learning approach
Recently, Unmanned Aerial Vehicle (UAV) swarm has been increasingly studied to collect
data from ground sensors in remote and hostile areas. A key challenge is the joint design of …
data from ground sensors in remote and hostile areas. A key challenge is the joint design of …
UAV-based emergency communications: An iterative two-stage multi-agent soft actor-critic approach for optimal association and dynamic deployment
Y Cao, Y Luo, H Yang, C Luo - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
This paper investigates future emergency wireless communication systems based on
multiple unmanned vehicles cooperative deployment. A terrestrial carrier vehicle with …
multiple unmanned vehicles cooperative deployment. A terrestrial carrier vehicle with …
Cooperative multi-agent deep reinforcement learning for reliable and energy-efficient mobile access via multi-UAV control
This paper addresses a novel multi-agent deep reinforcement learning (MADRL)-based
positioning algorithm for multiple unmanned aerial vehicles (UAVs) collaboration (ie, UAVs …
positioning algorithm for multiple unmanned aerial vehicles (UAVs) collaboration (ie, UAVs …
A novel hybrid split and federated learning architecture in wireless UAV networks
The ever-growing use of unmanned aerial vehicles (UAVs) as aerial users is becoming a
major part of the sixth generation (6G) networks, which could provide various applications …
major part of the sixth generation (6G) networks, which could provide various applications …
Deep reinforcement learning-based online resource management for uav-assisted edge computing with dual connectivity
Mobile Edge Computing (MEC) is a key technology towards delay-sensitive and
computation-intensive applications in future cellular networks. In this paper, we consider a …
computation-intensive applications in future cellular networks. In this paper, we consider a …
Deep Q-network based resource allocation for UAV-assisted ultra-dense networks
With the rapid development of the fifth-generation (5G) wireless communications, the
number of users is increasing dramatically and Ultra-Dense Networks (UDN) are becoming …
number of users is increasing dramatically and Ultra-Dense Networks (UDN) are becoming …
Deployment optimization of tethered drone-assisted integrated access and backhaul networks
Millimeter-wave (mmWave) integrated access and backhaul (IAB) has recently received
considerable interest for its advantage in reducing the expenses related to the deployment …
considerable interest for its advantage in reducing the expenses related to the deployment …
An Aerial and Ground Base Station Cooperation Strategy for UAV and Cellular Integrated Networks
J Zheng, Z Wang, A Jamalipour - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
This article proposes an aerial and ground base station cooperation (AG_CoMP) strategy for
improving the downlink transmission performance of an aerial UAV user (AUE) in an …
improving the downlink transmission performance of an aerial UAV user (AUE) in an …
Resource scheduling based on deep reinforcement learning in UAV assisted emergency communication networks
Unmanned aerial vehicle (UAV) assisted emergency communication is an important
technique for future B5G/6G scenario. The UAV is usually considered as a mobile relay to …
technique for future B5G/6G scenario. The UAV is usually considered as a mobile relay to …