Deep learning-based cooperative automatic modulation classification method for MIMO systems
Automatic modulation classification (AMC) is one of the most essential algorithms to identify
the modulation types for the non-cooperative communication systems. Recently, it has been …
the modulation types for the non-cooperative communication systems. Recently, it has been …
Classification of high-spatial-resolution remote sensing scenes method using transfer learning and deep convolutional neural network
W Li, Z Wang, Y Wang, J Wu, J Wang… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
The deep convolutional neural network (DeCNN) is considered one of promising techniques
for classifying the high-spatial-resolution remote sensing (HSRRS) scenes, due to its …
for classifying the high-spatial-resolution remote sensing (HSRRS) scenes, due to its …
Optimal SIC ordering and computation resource allocation in MEC-aware NOMA NB-IoT networks
Nonorthogonal multiple access (NOMA) and mobile edge computing (MEC) have been
emerging as promising techniques in narrowband Internet of Things (NB-IoT) systems to …
emerging as promising techniques in narrowband Internet of Things (NB-IoT) systems to …
Towards low-latency service delivery in a continuum of virtual resources: State-of-the-art and research directions
The advent of softwarized networks has enabled the deployment of chains of virtual network
and service components on computational resources from the cloud up to the edge, creating …
and service components on computational resources from the cloud up to the edge, creating …
Deep-reinforcement-learning-based proportional fair scheduling control scheme for underlay D2D communication
In the last few years, we have witnessed the usage of billions of Internet-of-Things (IoT)-
enabled devices in different applications starting from e-healthcare, transportation …
enabled devices in different applications starting from e-healthcare, transportation …
Spatial anti-jamming scheme for internet of satellites based on the deep reinforcement learning and Stackelberg game
C Han, L Huo, X Tong, H Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The anti-jamming communication of the heterogeneous Internet of Satellites (IoS) has drawn
increasing attentions due to the smart jamming and high dynamics. This paper investigates …
increasing attentions due to the smart jamming and high dynamics. This paper investigates …
[HTML][HTML] A review of multisensor data fusion solutions in smart manufacturing: Systems and trends
Manufacturing companies increasingly become “smarter” as a result of the Industry 4.0
revolution. Multiple sensors are used for industrial monitoring of machines and workers in …
revolution. Multiple sensors are used for industrial monitoring of machines and workers in …
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 …
Deep learning-based sum data rate and energy efficiency optimization for MIMO-NOMA systems
The increasing demands for massive connectivity, low latency, and high reliability of future
communication networks require new techniques. Multiple-input-multiple-output non …
communication networks require new techniques. Multiple-input-multiple-output non …
Enabling multiple power beacons for uplink of NOMA-enabled mobile edge computing in wirelessly powered IoT
As a promising technique, power beacon provides ability of wireless energy transfer to
relaying devices in Internet of Things (IoT) to serve far devices with respect to low latency …
relaying devices in Internet of Things (IoT) to serve far devices with respect to low latency …