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A review of AI-enabled routing protocols for UAV networks: Trends, challenges, and future outlook
A Rovira-Sugranes, A Razi, F Afghah, J Chakareski - Ad Hoc Networks, 2022 - Elsevier
Abstract Unmanned Aerial Vehicles (UAVs), as a recently emerging technology, enabled a
new breed of unprecedented applications in different domains. This technology's ongoing …
new breed of unprecedented applications in different domains. This technology's ongoing …
A review on drones controlled in real-time
V Kangunde, RS Jamisola Jr, EK Theophilus - International journal of …, 2021 - Springer
This paper presents related literature review on drones or unmanned aerial vehicles that are
controlled in real-time. Systems in real-time control create more deterministic response such …
controlled in real-time. Systems in real-time control create more deterministic response such …
A survey on cellular-connected UAVs: Design challenges, enabling 5G/B5G innovations, and experimental advancements
D Mishra, E Natalizio - Computer Networks, 2020 - Elsevier
As an emerging field of aerial robotics, Unmanned Aerial Vehicles (UAVs) have gained
significant research interest within the wireless networking research community. As soon as …
significant research interest within the wireless networking research community. As soon as …
Trajectory design and power control for joint radar and communication enabled multi-UAV cooperative detection systems
In recent years, joint radar and communication (JRC) has gained substantial attention due to
its high spectrum efficiency and equipment utilization. In this paper, we consider a JRC …
its high spectrum efficiency and equipment utilization. In this paper, we consider a JRC …
Reinforcement learning in the sky: A survey on enabling intelligence in ntn-based communications
T Naous, M Itani, M Awad, S Sharafeddine - IEEE Access, 2023 - ieeexplore.ieee.org
Non terrestrial networks (NTN) involving 'in the sky'objects such as low-earth orbit satellites,
high altitude platform systems (HAPs) and Unmanned Aerial Vehicles (UAVs) are expected …
high altitude platform systems (HAPs) and Unmanned Aerial Vehicles (UAVs) are expected …
Facilitating URLLC vis-á-vis UAV-enabled relaying for MEC systems in 6-G networks
A Ranjha, D Naboulsi, M El Emary… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The futuristic sixth-generation (6-G) networks will empower ultrareliable and low latency
communications (URLLC), enabling a wide array of mission-critical applications such as …
communications (URLLC), enabling a wide array of mission-critical applications such as …
UAV-to-device underlay communications: Age of information minimization by multi-agent deep reinforcement learning
In recent years, unmanned aerial vehicles (UAVs) have unlocked numerous sensing
applications, which are expected to add billions of dollars to the world economy in the next …
applications, which are expected to add billions of dollars to the world economy in the next …
[HTML][HTML] An intelligent task offloading algorithm (iTOA) for UAV edge computing network
Abstract Unmanned Aerial Vehicle (UAV) has emerged as a promising technology for the
support of human activities, such as target tracking, disaster rescue, and surveillance …
support of human activities, such as target tracking, disaster rescue, and surveillance …
Joint task offloading and resource allocation in multi-UAV multi-server systems: An attention-based deep reinforcement learning approach
The multi-access edge computing (MEC) provides opportunities for unmanned aerial
vehicles (UAVs) to perform computing-intensive and delay-sensitive applications. To further …
vehicles (UAVs) to perform computing-intensive and delay-sensitive applications. To further …
Resource management in UAV-assisted MEC: state-of-the-art and open challenges
Unmanned aerial vehicles (UAV) have been widely used in various fields because of their
high mobility and portability. At the same time, due to the rapid development of artificial …
high mobility and portability. At the same time, due to the rapid development of artificial …