DSIL: An effective spectrum prediction framework against spectrum concept drift

L Guo, J Lu, J An, K Yang - IEEE Transactions on Cognitive …, 2024 - ieeexplore.ieee.org
Predicting spectrum plays an importance role in cognitive networks, which is the key to
address the issue of spectrum scarcity. Deep learning methods for spectrum prediction have …

Enhanced Multi-Band Spectrum Prediction Using Singular Spectrum Analysis and Attention-Based BiLSTM

C Ben, Y Peng, Y Wang, Q Zhang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The mismatch between growing service demands and scarce spectrum resources in
wireless communications has led to spectrum shortages and deteriorating electromagnetic …

A Deep Long-Term Joint Temporal–Spectral Network for Spectrum Prediction

L Wang, J Hu, R Jiang, Z Chen - Sensors, 2024 - mdpi.com
Spectrum prediction is a promising technique to release spectrum resources and plays an
essential role in cognitive radio networks and spectrum situation generating. Traditional …

WLAN Channel Status Duration Prediction for Audio and Video Services Using Probabilistic Neural Networks

Y Hou, S Denno - IEEE Access, 2024 - ieeexplore.ieee.org
Due to massive increase in wireless access from smartphones, IoT devices, WLAN is aiming
to improve its spectrum efficiency (SE) using many technologies. Some interesting …

DQN Based Distributed Cooperative Spectrum Sensing for Multiband Multiuser CRN

M Kothari, S Kurumbanshi - 2024 2nd International Conference …, 2024 - ieeexplore.ieee.org
While 5G networks are still being deployed and optimized worldwide, research and
development efforts are underway for 6G technology. Massive machine-type communication …

Study of False Alarm Using Sliding Window for Pulse Detection Radar System

C Vijay, VB Lakshmi, P Mounika… - 2024 IEEE Wireless …, 2024 - ieeexplore.ieee.org
Efficient spectrum sensing is essential to modern radar systems in order to maximize the
utilization of available frequency bands, guarantee interference abatement, and improve …