Distributive estimation of frequency selective channels for massive MIMO systems

Alam Zaib, Mudassir Masood, Mounir Ghogho, Tareq Y. Al-Naffouri

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations


We 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.
Original languageEnglish (US)
Title of host publication2015 23rd European Signal Processing Conference (EUSIPCO)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages5
ISBN (Print)9780992862633
StatePublished - Dec 28 2015

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: KAUST, King Abdullah University of Science and Technology


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