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dc.contributor.authorFarhang, Armanen
dc.date.accessioned2022-02-25T11:50:08Z
dc.date.available2022-02-25T11:50:08Z
dc.date.issued2021en
dc.date.submitted2021en
dc.identifier.citationJeong, S., Farhang, A., Perovic, N.S., Flanagan, M.F., Low-Complexity Joint CFO and Channel Estimation for RIS-aided OFDM Systems, IEEE Wireless Communications Letters, 2021en
dc.identifier.otherYen
dc.descriptionPUBLISHEDen
dc.description.abstractAccurate channel estimation is essential for achieving the performance gains offered by reconfigurable intelligent surface (RIS)-aided wireless communications. A variety of channel estimation methods have been proposed for such systems; however, none of the existing methods takes into account the effect of synchronization errors such as carrier frequency offset (CFO). In general, CFO can significantly degrade the channel estimation performance of orthogonal frequency division multiplexing (OFDM) systems. Motivated by this, we investigate the effect of CFO on channel estimation for RIS-aided OFDM systems. Furthermore, we propose a joint CFO and channel impulse response (CIR) estimation method for these systems. Simulation results demonstrate the effectiveness of our proposed method, and also demonstrate that the use of time-domain rather than frequency-domain estimation in this context results in an improvement in the mean-squared error (MSE) performance of channel estimation as well as in a significantly lower overall computational complexity.en
dc.language.isoenen
dc.relation.ispartofseriesIEEE Wireless Communications Lettersen
dc.rightsYen
dc.subjectReconfigurable intelligent surface (RIS)en
dc.subjectChannel estimationen
dc.subjectCarrier frequency offset (CFO)en
dc.titleLow-Complexity Joint CFO and Channel Estimation for RIS-aided OFDM Systemsen
dc.typeJournal Articleen
dc.type.supercollectionscholarly_publicationsen
dc.type.supercollectionrefereed_publicationsen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/afarhangen
dc.identifier.rssinternalid235518en
dc.rights.ecaccessrightsopenAccess
dc.identifier.orcid_id0000-0003-2083-1162en
dc.contributor.sponsorScience Foundation Ireland (SFI)en
dc.contributor.sponsorGrantNumber19/FFP/7005en
dc.identifier.urihttp://hdl.handle.net/2262/98176


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