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dc.contributor.authorMasood, Mudassir
dc.contributor.authorAfify, Laila H.
dc.contributor.authorAl-Naffouri, Tareq Y.
dc.date.accessioned2017-01-02T09:55:29Z
dc.date.available2017-01-02T09:55:29Z
dc.date.issued2015-08-12
dc.identifier.citationMasood M, Afify LH, Al-Naffouri TY (2015) Efficient collaborative sparse channel estimation in massive MIMO. 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Available: http://dx.doi.org/10.1109/ICASSP.2015.7178506.
dc.identifier.doi10.1109/ICASSP.2015.7178506
dc.identifier.urihttp://hdl.handle.net/10754/622540
dc.description.abstractWe propose a method for estimation of sparse frequency selective channels within MIMO-OFDM systems. These channels are independently sparse and share a common support. The method estimates the impulse response for each channel observed by the antennas at the receiver. Estimation is performed in a coordinated manner by sharing minimal information among neighboring antennas to achieve results better than many contemporary methods. Simulations demonstrate the superior performance of the proposed method.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectmassive MIMO
dc.subjectOFDM
dc.subjectsparse channel
dc.titleEfficient collaborative sparse channel estimation in massive MIMO
dc.typeConference Paper
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.identifier.journal2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
dc.conference.date2014-04-19 to 2014-04-24
dc.conference.name40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015
dc.conference.locationBrisbane, QLD, AUS
dc.contributor.institutionKing Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia
kaust.personMasood, Mudassir
kaust.personAfify, Laila H.
dc.date.published-online2015-08-12
dc.date.published-print2015-04


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