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AuthorGouissem, A.
AuthorHamila, R.
AuthorAl-Dhahir, N.
AuthorFoufou, S.
Available date2021-09-01T10:02:46Z
Publication Date2016
Publication NameIEEE Vehicular Technology Conference
ResourceScopus
URIhttp://dx.doi.org/10.1109/VTCFall.2016.7881229
URIhttp://hdl.handle.net/10576/22398
AbstractIn this paper, the performance of an orthogonal frequency division multiplexing overlay cognitive radio network with subcarrier selection schemes is investigated. We propose three subcarrier selection techniques that reduce the level of interference at the primary base station based on collected channel state information from the different network nodes. Approximated outage probability expressions are also derived and verified by simulations for the different studied techniques. In addition, we propose and investigate a new approach for asynchronous narrowband interference (NBI) estimation and mitigation in cognitive radio networks. The proposed approach does not require prior knowledge of the NBI characteristics and allows the primary user to exploit the sparsity of the secondary users interference to recover it based on sparse signal recovery theory and approach the interference-free limit over practical ranges of NBI power levels. 2016 IEEE.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectChannel state information
Orthogonal frequency division multiplexing
Radio
Radio interference
Radio systems
Secondary recovery
Signal reconstruction
Wave interference
Cognitive network
Compressive sensing
Interference mitigation
Narrow band interference
Sparsity
Cognitive radio
TitleSparsity-aware narrowband interference mitigation and subcarriers selection in OFDM-based cognitive radio networks
TypeConference Paper
dc.accessType Abstract Only


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