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Article: Variational Inference-based Joint Interference Mitigation and OFDM Equalization Under High Mobility

TitleVariational Inference-based Joint Interference Mitigation and OFDM Equalization Under High Mobility
Authors
Issue Date2015
Citation
IEEE Signal Processing Letters, 2015, v. 22, p. 1970-1974 How to Cite?
AbstractIn OFDM-based spectrum sharing networks, due to inefficient coordination or imperfect spectrum sensing, the signals from femtocells or secondary users appear as interference in a subset of subcarriers of the primary systems. Together with the inter-carrier interference (ICI) introduced by high mobility, equalizing one subcarrier now depends not only on whether interference exists, but also the neighboring subcarrier data. In this letter, we propose a novel approach to iteratively learn the statistics of noise plus interference across different subcarriers, and refine the soft data estimates of each subcarrier based on the variational inference. Simulation results show that the pro- posed method avoids the error floor effect, which is exhibited by existing algorithms without considering interference mitigation, and performs close to the ideal case with perfect ICI cancelation and knowledge of noise plus interference powers for optimal maximum a posteriori probability (MAP) equalizer.
Persistent Identifierhttp://hdl.handle.net/10722/214165

 

DC FieldValueLanguage
dc.contributor.authorZhou, J-
dc.contributor.authorQin, J-
dc.contributor.authorWu, YC-
dc.date.accessioned2015-08-21T10:51:30Z-
dc.date.available2015-08-21T10:51:30Z-
dc.date.issued2015-
dc.identifier.citationIEEE Signal Processing Letters, 2015, v. 22, p. 1970-1974-
dc.identifier.urihttp://hdl.handle.net/10722/214165-
dc.description.abstractIn OFDM-based spectrum sharing networks, due to inefficient coordination or imperfect spectrum sensing, the signals from femtocells or secondary users appear as interference in a subset of subcarriers of the primary systems. Together with the inter-carrier interference (ICI) introduced by high mobility, equalizing one subcarrier now depends not only on whether interference exists, but also the neighboring subcarrier data. In this letter, we propose a novel approach to iteratively learn the statistics of noise plus interference across different subcarriers, and refine the soft data estimates of each subcarrier based on the variational inference. Simulation results show that the pro- posed method avoids the error floor effect, which is exhibited by existing algorithms without considering interference mitigation, and performs close to the ideal case with perfect ICI cancelation and knowledge of noise plus interference powers for optimal maximum a posteriori probability (MAP) equalizer.-
dc.languageeng-
dc.relation.ispartofIEEE Signal Processing Letters-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.titleVariational Inference-based Joint Interference Mitigation and OFDM Equalization Under High Mobility-
dc.typeArticle-
dc.identifier.emailWu, YC: ycwu@eee.hku.hk-
dc.identifier.authorityWu, YC=rp00195-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/LSP.2015.2449658-
dc.identifier.hkuros248926-
dc.identifier.volume22-
dc.identifier.spage1970-
dc.identifier.epage1974-

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