Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Abdurrahman Elmaghbub"'
Publikováno v:
IEEE Access, Vol 11, Pp 86801-86823 (2023)
RF (Radio Frequency) device fingerprinting approaches using deep learning have recently emerged as potential methods of identifying devices solely based on their RF transmissions. However, these recently proposed approaches suffer from the domain por
Externí odkaz:
https://doaj.org/article/867907a998534533abb1540de2b978ea
Autor:
Abdurrahman Elmaghbub, Bechir Hamdaoui
Publikováno v:
IEEE Access, Vol 9, Pp 142893-142909 (2021)
Deep learning-based fingerprinting techniques have recently emerged as potential enablers of various wireless applications. However, their resiliency to time, location, and/or configuration changes in the operating environment undoubtedly remains one
Externí odkaz:
https://doaj.org/article/afa5e416838f4b83bd72de835894f60c
Autor:
Bechir Hamdaoui, Abdurrahman Elmaghbub
Publikováno v:
IEEE Access, Vol 9, Pp 142893-142909 (2021)
Deep learning-based fingerprinting techniques have recently emerged as potential enablers of various wireless applications. However, their resiliency to time, location, and/or configuration changes in the operating environment undoubtedly remains one
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::002d804930b5f72f2ba1ef7d64b2440a
https://doi.org/10.1109/access.2021.3121606
https://doi.org/10.1109/access.2021.3121606
Most prior works on deep learning-based wireless device classification using radio frequency (RF) data apply off-the-shelf deep neural network (DNN) models, which were matured mainly for domains like vision and language. However, wireless RF data pos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91398850319c775c236fdfe427b9f6e8
Scalable spectrum database construction mechanisms for efficient wideband spectrum access management
Publikováno v:
Physical Communication. 46:101318
We propose a novel framework for enabling scalable database-driven dynamic spectrum access and sharing of heterogeneous wideband spectrum. The proposed framework consists of two complementary approaches that exploit the merits of compressive sensing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab87cbbfdac90e0363018fb840dd2326
https://doi.org/10.1016/j.phycom.2021.101318
https://doi.org/10.1016/j.phycom.2021.101318
Publikováno v:
GLOBECOM
We propose a distributed compressive sampling technique for cooperative wideband spectrum sensing that requires lesser numbers of measurements while overcoming time-variability of spectrum occupancy and the hidden terminal problem. First, we prove th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa1cdb6626a764df399257d3bb624c6b
https://doi.org/10.1109/glocom.2018.8647931
https://doi.org/10.1109/glocom.2018.8647931