On the performance of spectrum sensing in cognitive vehicular networks

X Qian, L Hao - … IEEE 26th Annual International Symposium on …, 2015 - ieeexplore.ieee.org
Recent advancement in vehicular wireless applications is also a major contributing factor in
spectrum scarcity. Cognitive radio technique can be applied to vehicular networks to fully …

Improved local spectrum sensing for cognitive radio networks

W Ejaz, N ul Hasan, MA Azam, HS Kim - EURASIP Journal on Advances in …, 2012 - Springer
The successful deployment of dynamic spectrum access requires cognitive radio (CR) to
more accurately find the unoccupied portion of the spectrum. An accurate spectrum sensing …

Spectrum sensing with energy detection in cognitive vehicular ad hoc networks

X Qian, L Hao - 2014 IEEE 6th international symposium on …, 2014 - ieeexplore.ieee.org
Recent advancement in vehicular wireless applications is also a major contributing factor in
spectrum scarcity. Cognitive radio technique is applied to Vehicular Ad hoc Networks …

[引用][C] Novel spectrum detector for IEEE 802.22 wireless regional area network

A Bagwari, J Kanti, GS Tomar - International …, 2015 - IACS (International Academic …

Channel status learning for cooperative spectrum sensing in energy-restricted cognitive radio networks

Z Jin, K Yao, B Lee, J Cho, L Zhang - IEEE Access, 2019 - ieeexplore.ieee.org
A cognitive radio (CR) is a promising technology to solve the emerging spectrum crisis,
especially for applications where thousands of wireless sensor nodes are deployed. Since …

Spectrum sensing in cognitive radio networks: threshold optimization and analysis

K Koçkaya, I Develi - EURASIP Journal on Wireless Communications and …, 2020 - Springer
Cognitive radio is a technology developed for the effective use of radio spectrum sources.
The spectrum sensing function plays a key role in the performance of cognitive radio …

Deep learning-based spectrum sensing in cognitive radio: A CNN-LSTM approach

J Xie, J Fang, C Liu, X Li - IEEE Communications Letters, 2020 - ieeexplore.ieee.org
For most existing spectrum sensing detectors, the design of their test statistics relies on
certain signal-noise model assumptions and hence, their detection performance heavily …

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 …

In-band spectrum sensing in cognitive radio networks: energy detection or feature detection?

H Kim, KG Shin - Proceedings of the 14th ACM international conference …, 2008 - dl.acm.org
In a cognitive radio network (CRN), in-band spectrum sensing is essential for the protection
of legacy spectrum users, with which the presence of primary users (PUs) can be detected …

Reliable machine learning based spectrum sensing in cognitive radio networks

HA Shah, I Koo - Wireless Communications and Mobile …, 2018 - Wiley Online Library
Spectrum sensing is of crucial importance in cognitive radio (CR) networks. In this paper, a
reliable spectrum sensing scheme is proposed, which uses K‐nearest neighbor, a machine …