An ensemble deep learning based IDS for IoT using Lambda architecture
R Alghamdi, M Bellaiche - Cybersecurity, 2023 - Springer
Abstract The Internet of Things (IoT) has revolutionized our world today by providing greater
levels of accessibility, connectivity and ease to our everyday lives. It enables massive …
levels of accessibility, connectivity and ease to our everyday lives. It enables massive …
Deep Reinforcement Learning-Based NOMA-Aided Slotted ALOHA for LEO Satellite IoT Networks
H Yu, H Zhao, Z Fei, J Wang, Z Chen… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The low earth orbit (LEO) satellites have received extensive attention as an essential
supplement to the terrestrial network for supporting global Internet of Things (IoT) services …
supplement to the terrestrial network for supporting global Internet of Things (IoT) services …
Deep learning-based joint NOMA signal detection and power allocation in cognitive radio networks
A Kumar, K Kumar - IEEE Transactions on Cognitive …, 2022 - ieeexplore.ieee.org
Presently, Non-Orthogonal Multiple Access (NOMA) frequently uses Successive Interference
Cancellation (SIC) with channel estimation to detect the receivers' signal successfully …
Cancellation (SIC) with channel estimation to detect the receivers' signal successfully …
Sparse bayesian learning-based 3D radio environment map construction—Sampling optimization, scenario-dependent dictionary construction and sparse recovery
The radio environment map (REM), which can visualize the information of invisible
electromagnetic spectrum, is vital for monitoring, management, and security of spectrum …
electromagnetic spectrum, is vital for monitoring, management, and security of spectrum …
Artificial Intelligence for Wireless Physical-Layer Technologies (AI4PHY): A Comprehensive Survey
N Ye, S Miao, J Pan, Q Ouyang, X Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Artificial intelligence (AI) has become a promising solution for meeting the stringent
performance requirements on wireless physical layer in sixth-generation (6G) …
performance requirements on wireless physical layer in sixth-generation (6G) …
Self-attention reinforcement learning for multi-beam combining in mmWave 3D-MIMO systems
Abstract Machine learning (ML) has been empowering all aspects of the wireless
communication system design, among which, the reinforcement learning (RL)-based …
communication system design, among which, the reinforcement learning (RL)-based …
Energy efficiency maximization for multi-carrier cooperative non-orthogonal multiple access systems
Driven by massive connections and exponential growth of data in mobile devices, Non-
orthogonal multiple access (NOMA) has become a candidate access technology to meet the …
orthogonal multiple access (NOMA) has become a candidate access technology to meet the …
Multi-Connection to the Sky: Energy-Efficient Beamforming for Multi-Satellite Uplink Transmission With Lens Antenna Array
With the ever-increasing densification of low Earth orbit constellations, lens antenna array
has become an attractive option for ground terminals to simultaneously connect to multiple …
has become an attractive option for ground terminals to simultaneously connect to multiple …
Asynchronous multi-user detection for code-domain NOMA: Expectation propagation over 3D factor-graph
Code-domain non-orthogonal multiple access (NOMA) is a promising technology to achieve
ubiquitous massive connections for 5G and beyond. In application scenarios with high …
ubiquitous massive connections for 5G and beyond. In application scenarios with high …
Interference mitigation for 5g-connected uav using deep q-learning framework
A Warrier, S Al-Rubaye… - 2022 IEEE/AIAA 41st …, 2022 - ieeexplore.ieee.org
To boost large-scale deployment of unmanned aerial vehicles (UAVs) in the future, a new
wireless communication paradigm namely cellular-connected UAVs has recently received …
wireless communication paradigm namely cellular-connected UAVs has recently received …