Paper Info
Title
Channel estimation and precoder design for millimeter-wave communications: The sparse way
Abstract
We propose strategies for mmWave communications that exploit the inherent sparsity of mmWave channels in the angle and delay domains. In particular, we propose the use of aperture shaping to ensure a sparse virtual-domain MIMO channel representation; fast FFT-based modulation and demodulation schemes to expose the virtual-channel coefficients; a pilot design that facilitates fast LASSO-based sparse-channel estimation; and spectrally efficient precoding and decoding, via the Lanczos algorithm and waterfilling over both frequency and angle. Numerical experiments suggest that our approach comes close to achieving the perfect-CSI capacity of the mmWave channel.
Year
DOI
Venue
2014
10.1109/ACSSC.2014.7094443
Pacific Grove, CA
Keywords
Field
DocType
MIMO communication,channel coding,channel estimation,decoding,demodulation,fast Fourier transforms,precoding,wireless channels,FFT-based demodulation scheme,FFT-based modulation scheme,Lanczos algorithm,fast LASSO-based sparse channel estimation,millimeter wave communication,mmWave communication channel decoding,multiple input multiple output system,perfect-CSI capacity,precoder design,sparse virtual-domain MIMO channel representation,waterfilling algorithm
Aperture,Demodulation,Computer science,Communication channel,MIMO,Electronic engineering,Lanczos algorithm,Fast Fourier transform,Decoding methods,Precoding
Conference
ISSN
Citations 
PageRank 
1058-6393
41
1.52
References 
Authors
8
2
Name
Order
Citations
PageRank
Philip Schniter1162093.74
Akbar M. Sayeed22041175.66