Blind channel identification aided generalized automatic modulation recognition based on deep learning

H Gu, Y Wang, S Hong, G Gui - IEEE Access, 2019 - ieeexplore.ieee.org
Automatic modulation recognition (AMR) plays an important role in cognitive radio (CR),
which relies on AMR responding to changes in the surrounding environment and then adjust …

Deep learning aided method for automatic modulation recognition

C Yang, Z He, Y Peng, Y Wang, J Yang - IEEE Access, 2019 - ieeexplore.ieee.org
Automatic modulation recognition (AMR) is considered one of most important techniques in
the non-cooperative wireless communication systems. Traditional algorithms, eg, support …

Antifragile communications

M Lichtman, MT Vondal, TC Clancy… - IEEE Systems …, 2016 - ieeexplore.ieee.org
This paper introduces the concept of antifragile communications, which we define as the
capability for a communications system to improve in performance due to a system stressor …

Convolutional neural network aided signal modulation recognition in OFDM systems

S Hong, Y Wang, Y Pan, H Gu, M Liu… - 2020 IEEE 91st …, 2020 - ieeexplore.ieee.org
Signa1 modulation recognition (SMR) is an essential and challenging topic in orthogonal
frequency-division multiplexing (OFDM) systems, and also it is the fundamental technique …

Blind digital modulation classification for STBC‐OFDM system in presence of CFO and channels estimation errors

B Dehri, M Besseghier, AB Djebbar… - IET …, 2019 - Wiley Online Library
Here, the authors propose a robust blind digital modulation classification (BDMC) algorithm
for space time block coding (STBC)‐based MIMO‐OFDM system in the presence of carrier …

Decoupling RNN training and testing observation intervals for spectrum sensing applications

MO Moore, RM Buehrer, WC Headley - Sensors, 2022 - mdpi.com
Recurrent neural networks have been shown to outperform other architectures when
processing temporally correlated data, such as from wireless communication signals …

Deep learning-based automatic modulation recognition algorithm in non-cooperative communication systems

Z He, Y Peng, Y Zhao, J Yang, L Wang… - 2019 11th …, 2019 - ieeexplore.ieee.org
Automatic modulation recognition (AMR) is considered one of most important topics in non-
cooperative communication systems. Traditional algorithms, eg, high order cumulants (HOC) …

The role and applications of machine learning in future self-organizing cellular networks

PV Klaine, O Onireti, RD Souza… - Next-Generation Wireless …, 2019 - igi-global.com
In this chapter, a brief overview of the role and applications of machine learning (ML)
algorithms in future wireless cellular networks is presented, more specifically, in the context …

Deep learning aided friendly coexistence of WiFi and LTE in unlicensed bands

H Gu, Y Wang, S Hong, G Gui - 2019 11th International …, 2019 - ieeexplore.ieee.org
Unlicensed long term evolution (LTE) technology is considered one of promising solutions to
address the problem of limited spectrum resources with the booming of big data and internet …

Interference modulation order detection with supervised learning for lte interference cancellation

TP Low, J Moon - 2015 IEEE 82nd Vehicular Technology …, 2015 - ieeexplore.ieee.org
Blind detection of interference modulation order is studied in this paper. Exploiting the
additivity property of cumulants for independent variables, we extend the techniques used in …