Progression on spectrum sensing for cognitive radio networks: A survey, classification, challenges and future research issues

MS Gupta, K Kumar - Journal of Network and Computer Applications, 2019 - Elsevier
It is widely believed that the advances of networking technologies will reshape the future of
telecommunication system. The continuous growth in data traffic originated by mobile users …

Spectrum interference-based two-level data augmentation method in deep learning for automatic modulation classification

Q Zheng, P Zhao, Y Li, H Wang, Y Yang - Neural Computing and …, 2021 - Springer
Automatic modulation classification is an essential and challenging topic in the development
of cognitive radios, and it is the cornerstone of adaptive modulation and demodulation …

LT-SEI: Long-tailed specific emitter identification based on decoupled representation learning in low-resource scenarios

H Zha, H Wang, Z Feng, Z Xiang, W Yan… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
In the case of COVID-19, which requires stable and reliable tracking of personnel
movement, aircraft identification by specific emitter identification (SEI) is a hot-button issue. It …

Multi-agent deep reinforcement learning-based flexible satellite payload for mobile terminals

X Hu, X Liao, Z Liu, S Liu, X Ding… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Information dissemination in mobile networks turns out to be a problem when the network is
sparse. Mobile networks begin to establish a separate cluster attributable to the limited …

Interbeam interference constrained resource allocation for shared spectrum multibeam satellite communication systems

M Jia, X Zhang, X Gu, Q Guo, Y Li… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
Future Internet of Things should contain space segment and terrestrial segment. In addition,
the multibeam satellite communication systems, especially working in S shared band, have …

Reconfigurable intelligent surface assisted MEC offloading in NOMA-enabled IoT networks

Z Chen, J Tang, M Wen, Z Li, J Yang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Integrating mobile edge computing (MEC) into the Internet of Things (IoT) enables resource-
limited mobile terminals to offload part or all of the computation-intensive applications to …

Covert wireless communication with noise uncertainty in space-air-ground integrated vehicular networks

D Wang, P Qi, Y Zhao, C Li, W Wu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In this paper, we propose a covert wireless uplink transmission strategy in space-air-ground
integrated vehicular networks, where the source vehicle transmits its own message over the …

Probabilistic spectrum sensing based on feature detection for 6G cognitive radio: A survey

A Ivanov, K Tonchev, V Poulkov, A Manolova - IEEE Access, 2021 - ieeexplore.ieee.org
With the advent of Sixth Generation (6G) telecommunication systems already envisioned,
increased effort is made to further develop current communication technologies, so they can …

Multiobjective resource allocation for mmWave MEC offloading under competition of communication and computing tasks

Z Zhao, J Shi, Z Li, J Si, P Xiao… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Toward 6G networks, such as virtual reality (VR) applications, Industry 4.0, and automated
driving, demand mobile-edge computing (MEC) techniques to offload computing tasks to …

Optimal sensor placement for source tracking under synchronization offsets and sensor location errors with distance-dependent noises

Y Yang, J Zheng, H Liu, KC Ho, Y Chen, Z Yang - Signal Processing, 2022 - Elsevier
This paper focuses on the problem of source tracking in the 3-D space using a time-
difference-of-arrival (TDOA)-based localization system. Different from existing studies, we …