A survey of energy and spectrum harvesting technologies and protocols for next generation wireless networks

A Padhy, S Joshi, S Bitragunta, V Chamola… - IEEE …, 2020 - ieeexplore.ieee.org
Energy harvesting (EH) and spectrum harvesting (SH) are two promising and useful green
communication and networking mechanisms for the next-generation wireless networks …

Evaluation and analysis of FBMC/OQAM systems based on pulse shaping filters

HM Abdel-Atty, WA Raslan, AT Khalil - IEEE Access, 2020 - ieeexplore.ieee.org
Cyclic prefix orthogonal frequency division multiplexing (CP-OFDM) is the most widespread
multicarrier modulation scheme. However, the use of a rectangular filter in CP-OFDM causes …

[PDF][PDF] Cyclostationary and energy detection spectrum sensing beyond 5G waveforms

A Kumar, J Venkatesh, N Gaur, MH Alsharif… - Electron Res …, 2023 - researchgate.net
The cyclostationary spectrum (CS) method is one of the best at what it does because it
effectively detects idle spectrum with low signal-to-noise ratios (SNR). In order to distinguish …

A comprehensive survey on effective spectrum sensing in 5G wireless networks through cognitive radio networks

P Ramakrishnan, PT Sivagurunathan… - Journal of Physics …, 2021 - iopscience.iop.org
Spectrum sensing is a challenging issue in cognitive radio network. In particular, wideband
spectrum sensing gains more attention due to emerging 5G wireless networks characterized …

On the performance of quickest detection spectrum sensing: The case of cumulative sum

A Badawy, A El Shafie, T Khattab - IEEE Communications …, 2020 - ieeexplore.ieee.org
Quickest change detection (QCD) is a fundamental problem in many applications. Given a
sequence of measurements that exhibits two different distributions around a certain flipping …

Centralized spectrum sensing based on covariance matrix decomposition and particle swarm clustering

J Zhuang, Y Wang, P Wan, S Zhang, Y Zhang - Physical Communication, 2021 - Elsevier
As the essential technology of cognitive radio networks, numerous spectrum sensing
approaches have been established to date. However, some spectrum sensing methods …

Wireless standard classification using convolutional neural networks

SR Shebert, AF Martone… - 2021 IEEE Global …, 2021 - ieeexplore.ieee.org
The growing prominence of spectrum sharing technologies has spurred interest in spectrum
monitoring technologies with the ability to identify unknown wireless signals. This paper …

Open set wireless standard classification using convolutional neural networks

SR Shebert, AF Martone… - MILCOM 2021-2021 IEEE …, 2021 - ieeexplore.ieee.org
In congested electromagnetic environments, cognitive radios require knowledge about other
emitters in order to optimize their dynamic spectrum access strategy. Deep learning …

Open Set Wireless Signal Classification: Augmenting Deep Learning with Expert Feature Classifiers

SR Shebert, BH Kirk, RM Buehrer - arXiv preprint arXiv:2302.03749, 2023 - arxiv.org
In shared spectrum with multiple radio access technologies, wireless standard classification
is vital for applications such as dynamic spectrum access (DSA) and wideband spectrum …

A novel low-complexity cyclostationary feature detection using sub-nyquist samples for wideband spectrum sensing

SG Mathew, CP Samuel - Circuits, Systems, and Signal Processing, 2021 - Springer
In this paper, we propose a novel low-complexity scheme to extract cyclic features of
wideband signals from sub-Nyquist samples as Nyquist rates push contemporary analog-to …