Underwater acoustic signal classification based on sparse time–frequency representation and deep learning

Y Miao, YV Zakharov, H Sun, J Li… - IEEE Journal of Oceanic …, 2021 - ieeexplore.ieee.org
For classification of underwater acoustic signals, we propose a novel sparse anisotropic
chirplet transform (ACT) to reveal fine time-frequency structures. The signal features in the …

Compact UWB-MIMO antenna with metamaterial FSS decoupling structure

X Zhu, X Yang, Q Song, B Lui - EURASIP Journal on Wireless …, 2017 - Springer
In this paper, an UWB-MIMO antenna with frequency selective surface (FSS) decoupling
structure is proposed. To realize antenna system miniaturization and integration, silicon …

Deep sensing for future spectrum and location awareness 5G communications

B Li, S Li, A Nallanathan, C Zhao - IEEE Journal on Selected …, 2015 - ieeexplore.ieee.org
Spectrum sensing based dynamic spectrum sharing is one of the key innovative techniques
in future 5G communications. When realistic mobile scenarios are concerned, the location of …

Techniques for dealing with uncertainty in cognitive radio networks

F Salahdine, N Kaabouch… - 2017 IEEE 7th Annual …, 2017 - ieeexplore.ieee.org
A cognitive radio system has the ability to observe and learn from the environment, adapt to
the environmental conditions, and use the radio spectrum more efficiently. However, due to …

Comprehensive survey on quality of service provisioning approaches in cognitive radio networks: Part one

A Fakhrudeen, OY Alani - International Journal of Wireless Information …, 2017 - Springer
Abstract Much interest in Cognitive Radio Networks (CRNs) has been raised recently by
enabling unlicensed (secondary) users to utilize the unused portions of the licensed …

A novel spectrum sensing for cognitive radio networks with noise uncertainty

M Sun, C Zhao, S Yan, B Li - IEEE Transactions on Vehicular …, 2016 - ieeexplore.ieee.org
This correspondence investigates a joint spectrum sensing scheme in cognitive radio (CR)
networks with unknown and dynamic noise variance. A novel Bayesian solution is proposed …

Deep sensing for space-time doubly selective channels: When a primary user is mobile and the channel is flat rayleigh fading

B Li, J Hou, X Li, Y Nan… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
The unrestrained mobility and dynamic spectrum sharing are considered as two key features
of next-generation communications. In this paper, spectrum sensing in mobile scenarios is …

Deep sensing for next-generation dynamic spectrum sharing: More than detecting the occupancy state of primary spectrum

B Li, S Li, A Nallanathan, Y Nan… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
In this paper, spectrum sensing is investigated and a new detection framework, namely,
deep sensing (DS), is proposed for more challenging scenarios of future dynamic spectrum …

Cooperative spectrum sensing over generalized fading channels based on energy detection

H Huang, C Yuan - China Communications, 2018 - ieeexplore.ieee.org
This paper analyzes the unified performance of energy detection (ED) of spectrum sensing
(SS) over generalized fading channels in cognitive radios (CRs). The detective performance …

[HTML][HTML] Spectrum and energy efficient multi-antenna spectrum sensing for green UAV communication

J Zhang, M Liu, N Zhao, Y Chen, Q Yang… - Digital Communications …, 2023 - Elsevier
Abstract Unmanned Aerial Vehicle (UAV) communication is a promising technology that
provides swift and flexible on-demand wireless connectivity for devices without infrastructure …