Efficient collaborative sparse channel estimation in massive MIMO

Handle URI:
http://hdl.handle.net/10754/622540
Title:
Efficient collaborative sparse channel estimation in massive MIMO
Authors:
Masood, Mudassir ( 0000-0003-0462-7874 ) ; Afify, Laila H. ( 0000-0002-7309-6010 ) ; Al-Naffouri, Tareq Y.
Abstract:
We 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.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Electrical Engineering Program
Citation:
Masood 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.
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Conference/Event name:
40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015
Issue Date:
12-Aug-2015
DOI:
10.1109/ICASSP.2015.7178506
Type:
Conference Paper
Appears in Collections:
Conference Papers; Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorMasood, Mudassiren
dc.contributor.authorAfify, Laila H.en
dc.contributor.authorAl-Naffouri, Tareq Y.en
dc.date.accessioned2017-01-02T09:55:29Z-
dc.date.available2017-01-02T09:55:29Z-
dc.date.issued2015-08-12en
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.en
dc.identifier.doi10.1109/ICASSP.2015.7178506en
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.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.subjectmassive MIMOen
dc.subjectOFDMen
dc.subjectsparse channelen
dc.titleEfficient collaborative sparse channel estimation in massive MIMOen
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentElectrical Engineering Programen
dc.identifier.journal2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)en
dc.conference.date2014-04-19 to 2014-04-24en
dc.conference.name40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015en
dc.conference.locationBrisbane, QLD, AUSen
dc.contributor.institutionKing Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabiaen
kaust.authorMasood, Mudassiren
kaust.authorAfify, Laila H.en
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