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dc.contributor.authorZaib, Alam
dc.contributor.authorMasood, Mudassir
dc.contributor.authorGhogho, Mounir
dc.contributor.authorAl-Naffouri, Tareq Y.
dc.date.accessioned2016-11-03T06:58:31Z
dc.date.available2016-11-03T06:58:31Z
dc.date.issued2015-12-28
dc.identifier.citationZaib A, Masood M, Ghogho M, Al-Naffouri TY (2015) Distributive estimation of frequency selective channels for massive MIMO systems. 2015 23rd European Signal Processing Conference (EUSIPCO). Available: http://dx.doi.org/10.1109/eusipco.2015.7362511.
dc.identifier.doi10.1109/eusipco.2015.7362511
dc.identifier.urihttp://hdl.handle.net/10754/621361
dc.description.abstractWe consider frequency selective channel estimation in the uplink of massive MIMO-OFDM systems, where our major concern is complexity. A low complexity distributed LMMSE algorithm is proposed that attains near optimal channel impulse response (CIR) estimates from noisy observations at receive antenna array. In proposed method, every antenna estimates the CIRs of its neighborhood followed by recursive sharing of estimates with immediate neighbors. At each step, every antenna calculates the weighted average of shared estimates which converges to near optimal LMMSE solution. The simulation results validate the near optimal performance of proposed algorithm in terms of mean square error (MSE). © 2015 EURASIP.
dc.description.sponsorshipKAUST, King Abdullah University of Science and Technology
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectChannel estimation
dc.subjectdistributed estimation
dc.subjectLeast squares
dc.subjectLMMSE
dc.subjectmassive MIMO
dc.titleDistributive estimation of frequency selective channels for massive MIMO systems
dc.typeConference Paper
dc.contributor.departmentElectrical Engineering Program
dc.identifier.journal2015 23rd European Signal Processing Conference (EUSIPCO)
dc.conference.date31 August 2015 through 4 September 2015
dc.conference.name23rd European Signal Processing Conference, EUSIPCO 2015
dc.contributor.institutionElectrical Engineering, Department King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia
dc.contributor.institutionSchool of Electronics and Electrical Engineering, University of Leeds, United Kingdom
kaust.personMasood, Mudassir
kaust.personAl-Naffouri, Tareq Y.


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