Efficient collaborative sparse channel estimation in massive MIMO
KAUST DepartmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
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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.
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.
Conference/Event name40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015