Dynamic spectrum access for D2D-enabled Internet of Things: A deep reinforcement learning approach
Device-to-device (D2D) communication is regarded as a promising technology to support
spectral-efficient Internet of Things (IoT) in beyond fifth-generation (5G) and sixth-generation …
spectral-efficient Internet of Things (IoT) in beyond fifth-generation (5G) and sixth-generation …
Deep learning-driven opportunistic spectrum access (OSA) framework for cognitive 5G and beyond 5G (B5G) networks
The evolving 5G and beyond 5G (B5G) wireless technologies are envisioned to provide
ubiquitous connectivity and great heterogeneity in communication infrastructure by …
ubiquitous connectivity and great heterogeneity in communication infrastructure by …
Deep learning for wireless networking: The next frontier
With the growth of mobile technology in the last decade, wireless networks have become an
integral part of our everyday lives. To meet the increasingly stringent application …
integral part of our everyday lives. To meet the increasingly stringent application …
Deep learning for radio resource allocation in multi-cell networks
The increased complexity and heterogeneity of emerging 5G and B5G wireless networks will
require a paradigm shift from traditional resource allocation mechanisms. Deep learning …
require a paradigm shift from traditional resource allocation mechanisms. Deep learning …
Random fourier feature-based deep learning for wireless communications
Deep-learning (DL) has emerged as a powerful machine-learning technique for several
problems encountered in generic wireless communications. Also, random Fourier Features …
problems encountered in generic wireless communications. Also, random Fourier Features …
A heterogeneous information fusion deep reinforcement learning for intelligent frequency selection of HF communication
X Liu, Y Xu, Y Cheng, Y Li, L Zhao… - China …, 2018 - ieeexplore.ieee.org
The high-frequency (HF) communication is one of essential communication methods for
military and emergency application. However, the selection of communication frequency …
military and emergency application. However, the selection of communication frequency …
Artificial intelligence enabled radio propagation for communications—Part I: Channel characterization and antenna-channel optimization
To provide higher data rates, as well as better coverage, cost efficiency, security,
adaptability, and scalability, the 5G and beyond 5G networks are developed with various …
adaptability, and scalability, the 5G and beyond 5G networks are developed with various …
Energy-efficient spectrum sensing for IoT devices
Device-to-device communications have been considered as an indispensable enabler,
which reduces the traffic burden associated with fifth-generation (5G) mobile networks. To …
which reduces the traffic burden associated with fifth-generation (5G) mobile networks. To …
Towards enhancing spectrum sensing: Signal classification using autoencoders
S Subray, S Tschimben, K Gifford - IEEE Access, 2021 - ieeexplore.ieee.org
The demand for technologies relying on the radio spectrum, such as mobile communications
and IoT, has been growing exponentially. As a consequence, providing access to the radio …
and IoT, has been growing exponentially. As a consequence, providing access to the radio …
Distributed learning meets 6G: A communication and computing perspective
With the ever improving computing capabilities and storage capacities of mobile devices in
line with evolving telecommunication network paradigms, there has been an explosion of …
line with evolving telecommunication network paradigms, there has been an explosion of …