A Review of Research on Spectrum Sensing Based on Deep Learning
Y Zhang, Z Luo - Electronics, 2023 - mdpi.com
In recent years, with the rapid development in wireless communication and 5G networks, the
rapid growth in mobile users has been accompanied by an increasing demand for the …
rapid growth in mobile users has been accompanied by an increasing demand for the …
Spectrum Sensing via Residual Dilated Network and Horizontal Shift Attention for Cognitive IoT
With the continuous growth of Internet of Things (IoT) deployments, various wireless devices
and communication technologies coexist in industrial environments resulting in a crowded …
and communication technologies coexist in industrial environments resulting in a crowded …
Graph learning for multi-satellite based spectrum sensing
H Yuan, Z Chen, Z Lin, J Peng, Z Fang… - 2023 IEEE 23rd …, 2023 - ieeexplore.ieee.org
Recently, Low Earth Orbit (LEO) satellite Internet has been deployed and provides access
service. In the near future, with high-speed development and dense deployment of non …
service. In the near future, with high-speed development and dense deployment of non …
Satsense: Multi-satellite collaborative framework for spectrum sensing
Low Earth Orbit satellite Internet has recently been deployed, providing worldwide service
with non-terrestrial networks. With the large-scale deployment of both non-terrestrial and …
with non-terrestrial networks. With the large-scale deployment of both non-terrestrial and …
Integrated distributed semantic communication and over-the-air computation for cooperative spectrum sensing
Cooperative spectrum sensing (CSS) is a promising approach to improve the detection of
primary users (PUs) using multiple sensors. However, there are several challenges for …
primary users (PUs) using multiple sensors. However, there are several challenges for …
MASSFormer: Mobility-Aware Spectrum Sensing using Transformer-Driven Tiered Structure
In this paper, we develop a novel mobility-aware transformer-driven tiered structure
(MASSFormer) based cooperative spectrum sensing method that effectively models the …
(MASSFormer) based cooperative spectrum sensing method that effectively models the …
A Matrix-Factorization-Error-Ratio Approach to Cooperative Sensing in Non-Ideal Communication Environment
A fundamental challenge in cognitive radio is the detection of primary users in a licensed
spectrum. Cooperative sensing, which utilizes multiple receivers distributed across different …
spectrum. Cooperative sensing, which utilizes multiple receivers distributed across different …
Joint Spectrum Sensing and DOA Estimation Based on a Resource-Efficient Sub-Nyquist Array Receiver
As the demand for wireless communication continues to surge, spectrum congestion
becomes more severe. Compressive spectrum sensing with joint frequency and Direction Of …
becomes more severe. Compressive spectrum sensing with joint frequency and Direction Of …
Survey of Graph Neural Network for Internet of Things and NextG Networks
The exponential increase in Internet of Things (IoT) devices coupled with 6G pushing
towards higher data rates and connected devices has sparked a surge in data …
towards higher data rates and connected devices has sparked a surge in data …
SCM-GNN: A Graph Neural Network-Based Multi-Antenna Spectrum Sensing in Cognitive Radio
Y Dong, M Zhang, X Cheng… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Spectrum Sensing plays a crucial role in cognitive radio and serves as a fundamental
requirement for achieving dynamic spectrum access. This work investigates a novel multi …
requirement for achieving dynamic spectrum access. This work investigates a novel multi …