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 …
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 …
MIMO-NOMA Aided Healthcare IoT Networking: Automated Massive Connectivity Protocol
L Bing, Y Gu, L Hu, Y Yin, J Wang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This paper addresses the design of multiple access protocol for healthcare Internet of things
(HIoT) networking, where devices are massively deployed to facilitate ubiquitous service …
(HIoT) networking, where devices are massively deployed to facilitate ubiquitous service …
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) …
Covert communications meet 6g ntn: A comprehensive enabler for safety-critical iot
J An, B Kang, Q Ouyang, J Pan, N Ye - IEEE Network, 2024 - ieeexplore.ieee.org
The integration of non-terrestrial networks (NTNs) in 6G enables seamless connectivity and
unleashes the potential of stringent Internet of Things (IoT) services worldwide. Among …
unleashes the potential of stringent Internet of Things (IoT) services worldwide. Among …
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 …
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 …
Deep learning-based blind multiple user detection for grant-free scma and musa systems
Massive machine-type communications (mMTC) in 6G requires supporting a massive
number of devices with limited resources, posing challenges in efficient random access …
number of devices with limited resources, posing challenges in efficient random access …