Resource allocation of video streaming over vehicular networks: A survey, some research issues and challenges
In intelligent transportation systems (ITS), the vehicular ad-hoc network (VANET) is an
enabling technology that can provide information exchange services among connected and …
enabling technology that can provide information exchange services among connected and …
Graph embedding-based wireless link scheduling with few training samples
Link scheduling in device-to-device (D2D) networks is usually formulated as a non-convex
combinatorial problem, which is generally NP-hard and difficult to get the optimal solution …
combinatorial problem, which is generally NP-hard and difficult to get the optimal solution …
An attention-aided deep learning framework for massive MIMO channel estimation
Channel estimation is one of the key issues in practical massive multiple-input multiple-
output (MIMO) systems. Compared with conventional estimation algorithms, deep learning …
output (MIMO) systems. Compared with conventional estimation algorithms, deep learning …
Multiagent deep-reinforcement-learning-based resource allocation for heterogeneous QoS guarantees for vehicular networks
Vehicle-to-vehicle communications can offer direct information interaction, including security-
centered information and entertainment information. However, the rapid proliferation of …
centered information and entertainment information. However, the rapid proliferation of …
Caching placement and resource allocation for cache-enabling UAV NOMA networks
This article investigates the cache-enabling unmanned aerial vehicle (UAV) cellular
networks with massive access capability supported by non-orthogonal multiple access …
networks with massive access capability supported by non-orthogonal multiple access …
Network slicing with MEC and deep reinforcement learning for the Internet of Vehicles
Z Mlika, S Cherkaoui - IEEE Network, 2021 - ieeexplore.ieee.org
The interconnection of vehicles in the future fifth generation (5G) wireless ecosystem forms
the so-called Internet of Vehicles (IoV). IoV offers new kinds of applications requiring delay …
the so-called Internet of Vehicles (IoV). IoV offers new kinds of applications requiring delay …
Age of information aware VNF scheduling in industrial IoT using deep reinforcement learning
In delay-sensitive industrial Internet of Things (IIoT) applications, the age of information (AoI)
is employed to characterize the freshness of information. Meanwhile, the emerging network …
is employed to characterize the freshness of information. Meanwhile, the emerging network …
Intelligent resource allocation for video analytics in blockchain-enabled internet of autonomous vehicles with edge computing
Video surveillance in intelligent transportation systems (ITSs) is in the rapid growth stage,
where video analytics is a potential technology to improve the safety of the Internet of …
where video analytics is a potential technology to improve the safety of the Internet of …
Review of robot skin: A potential enabler for safe collaboration, immersive teleoperation, and affective interaction of future collaborative robots
The emerging applications of collaborative robots (cobots) are spilling out from product
manufactories to service industries for human care, such as patient care for combating the …
manufactories to service industries for human care, such as patient care for combating the …
Transfer learning for semi-supervised automatic modulation classification in ZF-MIMO systems
Automatic modulation classification (AMC) is an essential technology for the non-
cooperative communication systems, and it is widely applied into various communications …
cooperative communication systems, and it is widely applied into various communications …