Progression on spectrum sensing for cognitive radio networks: A survey, classification, challenges and future research issues
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 …
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 …
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 …
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 …
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 …
the multibeam satellite communication systems, especially working in S shared band, have …
Reconfigurable intelligent surface assisted MEC offloading in NOMA-enabled IoT networks
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 …
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
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 …
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
With the advent of Sixth Generation (6G) telecommunication systems already envisioned,
increased effort is made to further develop current communication technologies, so they can …
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
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 …
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
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 …
difference-of-arrival (TDOA)-based localization system. Different from existing studies, we …