Machine learning-based cooperative spectrum sensing in dynamic segmentation enabled cognitive radio vehicular network

MA Hossain, R Md Noor, KLA Yau, SR Azzuhri… - Energies, 2021 - mdpi.com
… in a particular segment, leading to ineffectual network management. This paper proposes
dynamic segment … Here, the segment is further sub-segmented based on the probability value. …

Performance analysis of a two-stage spectrum sensing scheme for dynamic spectrum access in TV bands

D Capriglione, G Cerro, L Ferrigno, G Miele - Measurement, 2019 - Elsevier
spectrum becomes a fundamental task. In this framework, this paper proposes a two-stage
spectrum sensing … 1) and an accurate measurement of the real occupied spectrum (Stage 2). …

Analysis of different wavelet segmentation methods for frequency-domain energy detection based spectrum sensing

L Angrisani, D Capriglione, G Cerro… - 2017 IEEE …, 2017 - ieeexplore.ieee.org
Dynamic Spectrum Access (DSA) [3] to the wireless medium thanks to the development of
specific techniques, known as spectrum sensing … paradigm is the spectrum scarcity problem. …

Spectrum sensing for cognitive radio: Recent advances and future challenge

A Nasser, H Al Haj Hassan, J Abou Chaaya… - Sensors, 2021 - mdpi.com
… in Spectrum Sensing as a Service, where the Internet of Things or the Wireless Sensor
CR has been introduced as a potential candidate to perform complete Dynamic Spectrum

Mobile collaborative spectrum sensing for heterogeneous networks: A Bayesian machine learning approach

Y Xu, P Cheng, Z Chen, Y Li… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
… Inferring spectrum states from spectrum sensing data based on our proposed algorithm.
Two PUs are marked by blue stars with yellow solid-line circles indicating their transmission …

Analysis and implementation of a wavelet based spectrum sensing method for low SNR scenarios

D Capriglione, G Cerro, L Ferrigno… - 2016 IEEE 17th …, 2016 - ieeexplore.ieee.org
… Such approach has already led to the saturation of spectrum … to exploit free frequency spectrum
zones by sensing the elec… frequency band) dynamically, in accordance to sensing results…

Hybrid machine-learning-based spectrum sensing and allocation with adaptive congestion-aware modeling in CR-assisted IoV networks

R Ahmed, Y Chen, B Hassan, L Du… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
… a novel DLbased spectrum sensing model that leverages residual learning with integrated
atrous spatial pyramid pooling (ASPP) module to learn the dynamic signal environment by …

Effects of real instrument on performance of an energy detection-based spectrum sensing method

D Capriglione, G Cerro, L Ferrigno… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Dynamic spectrum access (DSA) is one of the keywords for modern wireless networks and
… possibility to consider the spectrum occupancy as a dynamic solution, exploiting frequency …

Stitching the Spectrum: Semantic Spectrum Segmentation with Wideband Signal

D Uvaydov, M Zhang, CP Robinson, S D'Oro… - arXiv preprint arXiv …, 2024 - arxiv.org
… -class spectrum sensing based on semantic segmentation. Although … segmentation [25], it
presents a few key differences that make our network perform better for spectrum segmentation

Spectrum sensing challenges & their solutions in cognitive radio based vehicular networks

MA Hossain, R Md Noor, SR Azzuhri… - International Journal …, 2021 - Wiley Online Library
… additional difficulties related to spectrum sensing, such as … conceptual framework for
spectrum sensing. The framework … In our work, the involvement of hybrid ML-based dynamic SS …