8 research outputs found
Active Learning in Cognitive Radio Networks
In this thesis, numerous Machine Learning (ML) applications for Cognitive Radios Networks
(CRNs) are developed and presented which facilitate the e cient spectral coexistence
of a legacy system, the Primary Users (PUs), and a CRN, the Secondary Users
(SUs). One way to better exploit the capacity of the legacy system frequency band
is to consider a coexistence scenario using underlay Cognitive Radio (CR) techniques,
where SUs may transmit in the frequency band of the PU system as long as the induced
to the PU interference is under a certain limit and thus does not harmfully a ect the
legacy system operability
LIPIcs, Volume 261, ICALP 2023, Complete Volume
LIPIcs, Volume 261, ICALP 2023, Complete Volum