Reinforcement learning for improved UAV-based integrated access and backhaul operation
There is a strong interest in utilizing commercial cellular networks to support unmanned
aerial vehicles (UAVs) to send control commands and communicate heavy traffic. Cellular …
aerial vehicles (UAVs) to send control commands and communicate heavy traffic. Cellular …
Joint optimization of access and backhaul links for UAVs based on reinforcement learning
In this paper, we study the application of unmanned aerial vehicle (UAV) base stations (BSs)
in order to improve the cellular network capacity. We consider flying BSs where BS …
in order to improve the cellular network capacity. We consider flying BSs where BS …
Deep reinforcement learning for multi-user access control in UAV networks
Unmanned Aerial Vehicles (UAVs) have recently been proposed as flying base stations,
called UAV-BSs, to provide reliable connections and extend the coverage of the existing …
called UAV-BSs, to provide reliable connections and extend the coverage of the existing …
5G Network on Wings: A Deep Reinforcement Learning Approach to the UAV-based Integrated Access and Backhaul
Fast and reliable wireless communication has become a critical demand in human life. In the
case of mission-critical (MC) scenarios, for instance, when natural disasters strike, providing …
case of mission-critical (MC) scenarios, for instance, when natural disasters strike, providing …
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 …
Adaptive deployment of UAV-aided networks based on hybrid deep reinforcement learning
X Ma, S Hu, D Zhou, Y Zhou… - 2020 IEEE 92nd Vehicular …, 2020 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) can be used as air base stations to provide fast wireless
connections for ground users. Due to their constraints on both mobility and energy …
connections for ground users. Due to their constraints on both mobility and energy …
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 …
Autonomous navigation and configuration of integrated access backhauling for UAV base station using reinforcement learning
Fast and reliable connectivity is essential to enhance situational awareness and operational
efficiency for public safety mission-critical (MC) users. In emergency or disaster …
efficiency for public safety mission-critical (MC) users. In emergency or disaster …
Optimum aerial base station deployment for UAV networks: A reinforcement learning approach
MC Hou, DJ Deng, CL Wu - 2019 IEEE Globecom Workshops …, 2019 - ieeexplore.ieee.org
The boom of unmanned aerial vehicles (UAVs) is projected to fundamentally shift paradigms
of transportations, logistics, agricultures, and public safety as a dominating unmanned …
of transportations, logistics, agricultures, and public safety as a dominating unmanned …
A reinforcement learning based user association algorithm for UAV networks
There have been increasing interests in employing unmanned aerial vehicles (UAVs) such
as drones for telecommunication purpose. In such networks, UAVs act as base stations and …
as drones for telecommunication purpose. In such networks, UAVs act as base stations and …
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