A review on AI-driven aerial access networks: Challenges and open research issues
Aerial access networks (AANs) consisting of low altitude platforms (LAPs) and high altitude
platforms (HAPs) have been considered as emerging wireless networking technologies to …
platforms (HAPs) have been considered as emerging wireless networking technologies to …
Distributed artificial intelligence enabled aerial-ground networks: Architecture, technologies and challenges
Artificial intelligence (AI) provides a promising and novel direction to design future time-
varying wireless networks by leading to significantly superior performances compared to …
varying wireless networks by leading to significantly superior performances compared to …
Energy‐aware mobility for aerial networks: A reinforcement learning approach
With recent advancements in aerial networks, aerial base stations (ABSs) have become a
promising mobile network technology to enhance the coverage and capacity of the cellular …
promising mobile network technology to enhance the coverage and capacity of the cellular …
HAPS-UAV-enabled heterogeneous networks: A deep reinforcement learning approach
The integrated use of non-terrestrial network (NTN) entities such as the high-altitude
platform station (HAPS) and low-altitude platform station (LAPS) has become essential …
platform station (HAPS) and low-altitude platform station (LAPS) has become essential …
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 …
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 …
AI-driven aeronautical ad hoc networks for 6G wireless: Challenges, opportunities, and the road ahead
Aeronautical ad hoc network (AANET) has been considered a promising candidate to
complete the vision of “Internet in the sky” by supporting high-speed broadband connections …
complete the vision of “Internet in the sky” by supporting high-speed broadband connections …
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 …
UAV-assisted 5G/6G networks: Joint scheduling and resource allocation based on asynchronous reinforcement learning
Unmanned aerial vehicles (UAVs) can be used as flying base stations (BSs) for providing
wireless communications and coverage enhancement in fifth/sixth-generation (5G/6G) …
wireless communications and coverage enhancement in fifth/sixth-generation (5G/6G) …
QoE-driven adaptive deployment strategy of multi-UAV networks based on hybrid deep reinforcement learning
Y Zhou, X Ma, S Hu, D Zhou… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) serve as aerial base stations to provide controlled
wireless connections for ground users. Due to their constraints on both mobility and energy …
wireless connections for ground users. Due to their constraints on both mobility and energy …