LightAMC: Lightweight automatic modulation classification via deep learning and compressive sensing
Automatic modulation classification (AMC) is an promising technology for non-cooperative
communication systems in both military and civilian scenarios. Recently, deep learning (DL) …
communication systems in both military and civilian scenarios. Recently, deep learning (DL) …
A survey of 5G network systems: challenges and machine learning approaches
Abstract 5G cellular networks are expected to be the key infrastructure to deliver the
emerging services. These services bring new requirements and challenges that obstruct the …
emerging services. These services bring new requirements and challenges that obstruct the …
Complex-valued networks for automatic modulation classification
Deep learning (DL) has been recognized as an effective solution for automatic modulation
classification (AMC). However, most recent DL based AMC works are based on real-valued …
classification (AMC). However, most recent DL based AMC works are based on real-valued …
A wind speed forecasting system for the construction of a smart grid with two-stage data processing based on improved ELM and deep learning strategies
The operation and scheduling management of smart grids are important aspects, and wind
speed forecasting modules are indispensable in wind power system management …
speed forecasting modules are indispensable in wind power system management …
Deep reinforcement learning for dynamic uplink/downlink resource allocation in high mobility 5G HetNet
Recently, the 5G is widely deployed for supporting communications of high mobility nodes
including train, vehicular and unmanned aerial vehicles (UAVs) largely emerged as the …
including train, vehicular and unmanned aerial vehicles (UAVs) largely emerged as the …
NOMA-assisted multi-access mobile edge computing: A joint optimization of computation offloading and time allocation
Multi-access mobile edge computing (MEC), which enables mobile users (MUs) to offload
their computation-workloads to the computation-servers located at the edge of cellular …
their computation-workloads to the computation-servers located at the edge of cellular …
Deep cognitive perspective: Resource allocation for NOMA-based heterogeneous IoT with imperfect SIC
The Internet of Things (IoT) has attracted significant attentions in the fifth generation mobile
networks and the smart cities. However, considering the large numbers of connectivity …
networks and the smart cities. However, considering the large numbers of connectivity …
Machine learning inspired sound-based amateur drone detection for public safety applications
MZ Anwar, Z Kaleem… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In recent years, popularity of unmanned air vehicles enormously increased due to their
autonomous moving capability and applications in various domains. This also results in …
autonomous moving capability and applications in various domains. This also results in …
A taxonomy of AI techniques for 6G communication networks
With 6G flagship program launched by the University of Oulu, Finland, for full future
adaptation of 6G by 2030, many institutes worldwide have started to explore various issues …
adaptation of 6G by 2030, many institutes worldwide have started to explore various issues …
A two-layer nonlinear combination method for short-term wind speed prediction based on ELM, ENN, and LSTM
As a typical kind of the Internet of Things, smart grid has attracted a lot of attentions. The
power energy management of smart grid is of great importance for energy distribution …
power energy management of smart grid is of great importance for energy distribution …