A novel machine learning-based scheme for spectrum sharing in virtualized 5G networks
AJ Morgado, FB Saghezchi, S Mumtaz… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Network virtualization allows the coexistence of multiple network slices over a shared
physical infrastructure, each delivering a service with own requirements in terms of quality of …
physical infrastructure, each delivering a service with own requirements in terms of quality of …
Multispectral image analysis for monitoring by IoT based wireless communication using secure locations protocol and classification by deep learning techniques
Land surface data is one of the entry points for a enormous resource management and
human activity such as to monitor farming, ecology, urban management, and territories. This …
human activity such as to monitor farming, ecology, urban management, and territories. This …
Deep reinforcement learning for online resource allocation in IoT networks: Technology, development, and future challenges
The growing number of complex and heterogeneous Internet of Things (IoT) applications
has imposed a high demand for scarce communications and computing resources. To meet …
has imposed a high demand for scarce communications and computing resources. To meet …
Fuzzy theory in fog computing: review, taxonomy, and open issues
Geographically dispersed Fog Computing architecture ubiquitously connected to a range of
heterogeneous nodes at the edge of the network can provide cooperative flexible, and …
heterogeneous nodes at the edge of the network can provide cooperative flexible, and …
Reinforcement learning meets wireless networks: A layering perspective
Driven by the soaring traffic demand and the growing diversity of mobile services, wireless
networks are evolving to be increasingly dense and heterogeneous. Accordingly, in such …
networks are evolving to be increasingly dense and heterogeneous. Accordingly, in such …
Holistic Survey of Privacy and Fairness in Machine Learning
Privacy and fairness are two crucial pillars of responsible Artificial Intelligence (AI) and
trustworthy Machine Learning (ML). Each objective has been independently studied in the …
trustworthy Machine Learning (ML). Each objective has been independently studied in the …
Data aided channel estimation for MIMO-OFDM wireless systems using reliable carriers
I Khan, M Cheffena, MM Hasan - IEEE Access, 2023 - ieeexplore.ieee.org
Wireless channel estimation is one of the challenging problems in multiple input multiple
output orthogonal frequency division multiplexing (MIMO-OFDM) wireless systems. The …
output orthogonal frequency division multiplexing (MIMO-OFDM) wireless systems. The …
Privacy preserving machine learning for electric vehicles: A survey
In the recent years, the interest of individual users in modern electric vehicles (EVs) has
grown exponentially. An EV has two major components, which make it different from …
grown exponentially. An EV has two major components, which make it different from …
Reinforcement learning based resource allocation for coverage continuity in high dynamic UAV communication networks
Unmanned aerial vehicles mounted aerial base stations (ABSs) are capable of providing on-
demand coverage in next-generation mobile communication system. However, resource …
demand coverage in next-generation mobile communication system. However, resource …
Graph neural network-based cell switching for energy optimization in ultra-dense heterogeneous networks
The development of ultra-dense heterogeneous networks (HetNets) will cause a significant
rise in energy consumption with large-scale base station (BS) deployments, requiring …
rise in energy consumption with large-scale base station (BS) deployments, requiring …