Towards autonomous multi-UAV wireless network: A survey of reinforcement learning-based approaches
Unmanned aerial vehicle (UAV)-based wireless networks have received increasing
research interest in recent years and are gradually being utilized in various aspects of our …
research interest in recent years and are gradually being utilized in various aspects of our …
Applications of multi-agent reinforcement learning in future internet: A comprehensive survey
Future Internet involves several emerging technologies such as 5G and beyond 5G
networks, vehicular networks, unmanned aerial vehicle (UAV) networks, and Internet of …
networks, vehicular networks, unmanned aerial vehicle (UAV) networks, and Internet of …
Evolution of NOMA toward next generation multiple access (NGMA) for 6G
Due to the explosive growth in the number of wireless devices and diverse wireless
services, such as virtual/augmented reality and Internet-of-Everything, next generation …
services, such as virtual/augmented reality and Internet-of-Everything, next generation …
Mobile edge computing and machine learning in the internet of unmanned aerial vehicles: a survey
Unmanned Aerial Vehicles (UAVs) play an important role in the Internet of Things and form
the paradigm of the Internet of UAVs, due to their characteristics of flexibility, mobility, and …
the paradigm of the Internet of UAVs, due to their characteristics of flexibility, mobility, and …
Artificial intelligence for UAV-enabled wireless networks: A survey
MA Lahmeri, MA Kishk… - IEEE Open Journal of the …, 2021 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are considered as one of the promising technologies for
the next-generation wireless communication networks. Their mobility and their ability to …
the next-generation wireless communication networks. Their mobility and their ability to …
Multi-agent deep reinforcement learning based transmission latency minimization for delay-sensitive cognitive satellite-uav networks
S Guo, X Zhao - IEEE Transactions on Communications, 2022 - ieeexplore.ieee.org
With the ubiquitous deployment of a massive number of Internet-of-Things (IoT) devices, the
satellite-aerial networks are becoming a promising candidate to provide flexible and …
satellite-aerial networks are becoming a promising candidate to provide flexible and …
Resource allocation for IRS assisted SGF NOMA transmission: A MADRL approach
J Chen, L Guo, J Jia, J Shang… - IEEE Journal on Selected …, 2022 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA) assisted semi-grant-free (SGF) transmission has
been viewed as one of the promising technologies to meet massive connectivity …
been viewed as one of the promising technologies to meet massive connectivity …
Cooperative trajectory design of multiple UAV base stations with heterogeneous graph neural networks
Unmanned aerial vehicles as base stations (UAV-BSs) are recognized as effective means
for tackling eruptive communication service requirements especially when terrestrial …
for tackling eruptive communication service requirements especially when terrestrial …
Multi-agent learning-based optimal task offloading and UAV trajectory planning for AGIN-power IoT
P Qin, Y Fu, Y Xie, K Wu, X Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
UAV-based air-ground integrated computing networks (AGIN) have gained significant
traction in remote areas for the Power Internet of Things (PIoT). This paper considers an …
traction in remote areas for the Power Internet of Things (PIoT). This paper considers an …
Computation bits maximization in UAV-assisted MEC networks with fairness constraint
This article investigates an unmanned aerial vehicle (UAV)-assisted wireless-powered
mobile-edge computing (MEC) system, where the UAV powers the mobile terminals by …
mobile-edge computing (MEC) system, where the UAV powers the mobile terminals by …