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AuthorElgenedy, Mahmoud
AuthorAwadin, Mohamed Mokhtar
AuthorHamila, Ridha
AuthorBajwa, Waheed U.
AuthorIbrahim, Ahmed S.
AuthorAl-Dhahir, Naofal
Available date2023-04-04T09:09:08Z
Publication Date2018
Publication NameIEEE Access
ResourceScopus
URIhttp://dx.doi.org/10.1109/ACCESS.2018.2842194
URIhttp://hdl.handle.net/10576/41627
AbstractWe propose a new sparsity-aware framework to model and mitigate the joint effects of narrow-band interference (NBI) and impulsive noise (IN) in hybrid powerline and unlicensed wireless communication systems. The proposed mitigation techniques, based on the principles of compressive sensing, exploit the inherent (non-contiguous or contiguous) sparse structures of NBI and IN in the frequency and time domains, respectively. For the non-contiguous NBI and IN, we develop a multi-level orthogonal matching pursuit recovery algorithm that exploits prior knowledge about the sparsity level at each receive antenna and powerline to further reduce computational complexity without performance loss. In addition, for the non-contiguous asynchronous NBI scenario, we investigate the application of time-domain windowing to enhance the NBI's sparsity and, hence, improve the NBI mitigation performance. For the contiguous NBI and IN scenario, we estimate the NBI and IN signals by modeling their burstiness as block-sparse vectors with and without prior knowledge of the bursts' boundaries. Moreover, we show how to exploit the spatial correlations of the NBI and IN across the receive antennas and powerlines to convert a non-contiguous NBI and IN problem to a block-sparse estimation problem with much lower complexity. Furthermore, we investigate a Bayesian linear minimum mean square error-based approach for estimating both non-contiguous and contiguous NBI and IN based on their second-order statistics to further improve the estimation performance. Finally, our numerical results illustrate the superiority of the joint processing of our proposed NBI and IN sparsity-based mitigation techniques compared to separate processing of the wireless and powerline received signals. 2013 IEEE.
SponsorThis work was supported by NPRP through the Qatar National Research Fund (a member of Qatar Foundation) under Grant NPRP 8-627-2-260.
Languageen
PublisherIEEE
SubjectCompressive sensing
impulsive noise (IN)
interference mitigation
narrowband interference (NBI)
orthogonal matching pursuit (OMP)
powerline communication (PLC)
sparse noise
wireless local area networks (WLAN)
TitleSparsity-Based Joint NBI and impulse noise mitigation in hybrid PLC-Wireless transmissions
TypeArticle
Pagination30280-30295
Volume Number6
dc.accessType Open Access


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