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dc.contributor.authorAli, Anum Z.
dc.contributor.authorAl-Zahrani, Ali Y.
dc.contributor.authorAl-Naffouri, Tareq Y.
dc.contributor.authorNaguib, Ayman F.
dc.date.accessioned2015-08-04T07:24:57Z
dc.date.available2015-08-04T07:24:57Z
dc.date.issued2014-05
dc.identifier.isbn9781479928927
dc.identifier.issn15206149
dc.identifier.doi10.1109/ICASSP.2014.6855176
dc.identifier.urihttp://hdl.handle.net/10754/564913
dc.description.abstractHigh peak-to-average power ratio is one of the major drawbacks of orthogonal frequency division multiplexing (OFDM). Clipping is the simplest peak reduction scheme, however, it requires clipping mitigation at the receiver. Recently compressed sensing has been used for clipping mitigation (by exploiting the sparse nature of clipping signal). However, clipping estimation in multi-user scenario (i.e., OFDMA) is not straightforward as clipping distortions overlap in frequency domain and one cannot distinguish between distortions from different users. In this work, a collaborative clipping removal strategy is proposed based on joint estimation of the clipping distortions from all users. Further, an effective data aided channel estimation strategy for clipped OFDM is also outlined. Simulation results are presented to justify the effectiveness of the proposed schemes. © 2014 IEEE.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectchannel estimation
dc.subjectclipping
dc.subjectcompressed sensing
dc.subjectOFDMA
dc.subjectPAPR reduction
dc.titleReceiver based PAPR reduction in OFDMA
dc.typeConference Paper
dc.contributor.departmentElectrical Engineering Program
dc.identifier.journal2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
dc.conference.date4 May 2014 through 9 May 2014
dc.conference.name2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
dc.conference.locationFlorence
dc.contributor.institutionDepartment of Electrical Engineering, King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia
dc.contributor.institutionQualcomm Research Silicon Valley, United States
kaust.personAl-Naffouri, Tareq Y.
kaust.personAl-Zahrani, Ali Y.


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