Efficient collaborative sparse channel estimation in massive MIMO
Type
Conference PaperKAUST Department
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) DivisionElectrical Engineering Program
Date
2015-08-12Online Publication Date
2015-08-12Print Publication Date
2015-04Permanent link to this record
http://hdl.handle.net/10754/622540
Metadata
Show full item recordAbstract
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.Conference/Event name
40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015ae974a485f413a2113503eed53cd6c53
10.1109/ICASSP.2015.7178506