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 …
Constrained deep reinforcement learning for energy sustainable multi-UAV based random access IoT networks with NOMA
In this paper, we apply the Non-Orthogonal Multiple Access (NOMA) technique to improve
the massive channel access of a wireless IoT network where solar-powered Unmanned …
the massive channel access of a wireless IoT network where solar-powered Unmanned …
Deep-reinforcement-learning-based optimal transmission policies for opportunistic UAV-aided wireless sensor network
Y Liu, J Yan, X Zhao - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
When there are unmanned aerial vehicles (UAVs) performing their specifically assigned
tasks in the air, some of them still have available resources to access different ground …
tasks in the air, some of them still have available resources to access different ground …
Toward energy-efficient UAV-assisted wireless networks using an artificial intelligence approach
This article studies the application of artificial intelligence (AI) approach in UAV-assisted
wireless networks to cope with a large number of parameters impacting energy-efficiency in …
wireless networks to cope with a large number of parameters impacting energy-efficiency in …
Trajectory design and access control for air–ground coordinated communications system with multiagent deep reinforcement learning
Unmanned-aerial-vehicle (UAV)-assisted communications has attracted increasing attention
recently. This article investigates air–ground coordinated communications system, in which …
recently. This article investigates air–ground coordinated communications system, in which …
Multi-agent few-shot meta reinforcement learning for trajectory design and channel selection in UAV-assisted networks
S Zhou, Y Cheng, X Lei, H Duan - China Communications, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV)-assisted communications have been considered as a
solution of aerial networking in future wireless networks due to its low-cost, high-mobility …
solution of aerial networking in future wireless networks due to its low-cost, high-mobility …
Decoupled association with rate splitting multiple access in UAV-assisted cellular networks using multi-agent deep reinforcement learning
In unmanned aerial vehicles (UAVs) assisted cellular networks, user association plays an
important role in interference control and spectrum efficiency. In this paper, we study the …
important role in interference control and spectrum efficiency. In this paper, we study the …
Decentralized planning-assisted deep reinforcement learning for collision and obstacle avoidance in UAV networks
JS Lin, HT Chiu, RH Gau - 2021 IEEE 93rd Vehicular …, 2021 - ieeexplore.ieee.org
In this paper, we propose using a decentralized planning-assisted approach of deep
reinforcement learning for collision and obstacle avoidance in UAV networks. We focus on a …
reinforcement learning for collision and obstacle avoidance in UAV networks. We focus on a …
Survey on unmanned aerial vehicle networks: A cyber physical system perspective
Unmanned aerial vehicle (UAV) networks are playing an important role in various areas due
to their agility and versatility, which have attracted significant attentions from both the …
to their agility and versatility, which have attracted significant attentions from both the …
Recent studies on deep reinforcement learning in RIS-UAV communication networks
Unmanned aerial vehicle (UAV) and reconfigurable intelligent surface (RIS) technologies
have recently been identified as enablers for future wireless networks. Deep reinforcement …
have recently been identified as enablers for future wireless networks. Deep reinforcement …