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dc.contributor.authorBaşaran, Mehmet
dc.contributor.authorMacit, Mustafa Can
dc.contributor.authorŞenol, Habib
dc.contributor.authorErküçük, Serhat
dc.description.abstractThis work investigates the realistic performance of IEEE 802.11af systems released for the efficient spectrum utilization of TV white space (TVWS). These systems are operated over many contiguous or non-contiguous channels based on the TVWS frequency band availability. Accordingly, we consider realistic channel estimation for TVWS system and analyze the corresponding system performance of linear minimum mean square error (LMMSE) and orthogonal matching pursuit (OMP) algorithms. While LMMSE estimates channel path gains assuming perfectly known tap delay locations, OMP estimates both channel path gains and delays. Owing to the realistic implementation and estimating the full channel state information (CSI) of sparse channels, we mainly assess the OMP performance together with the LMMSE estimation for comparison in terms of channel reconstruction and symbol detection errors. To address the channel estimation performance, Bayesian Cramer-Rao bound is derived theoretically for both perfect and imperfect CSI, and confirmed with the simulations. Simulation results demonstrate that the realistic OMP-based symbol detection performance is found to be only 1-2 dB inferior compared to the near-optimal LMMSE-based estimation with known delays in low and medium signal-to-noise-ratio regions, where communication mainly occurs in practice. In addition, the effects of channel multipath number, channel resolution and operation modes on the system performance are studied for different scenarios. The results of this work are important for the practical implementation of IEEE 802.11af-based systems.en_US
dc.description.sponsorshipTurk Telekom and Argela under “TT Collaborative Research Awards Program”en_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.subjectchannel estimationen_US
dc.subjectIEEE 802.11afen_US
dc.subjectsparse channelen_US
dc.subjectsymbol detectionen_US
dc.subjectTV white spaceen_US
dc.titleRealistic Channel Estimation of IEEE 802.11af Systems in TV White Spaceen_US
dc.relation.journalIEEE Transactions on Vehicular Technologyen_US
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.institutionauthorMacit, Mustafa Canen_US
dc.institutionauthorŞenol, Habiben_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US

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