Efficient collaborative sparse channel estimation in massive MIMO

Type
Conference Paper

Authors
Masood, Mudassir
Afify, Laila H.
Al-Naffouri, Tareq Y.

KAUST Department
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program

Online Publication Date
2015-08-12

Print Publication Date
2015-04

Date
2015-08-12

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.

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

DOI
10.1109/ICASSP.2015.7178506

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