Open AccessBasis expansion model based spectral efficient channel recovery scheme for spatial‐temporal correlated massive MIMO systems
Author(s) -
Wang Xuesi,
Wang Jintao,
He Longzhuang,
Pan Changyong,
Song Jian
Publication year - 2017
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2017.0182
Subject(s) - mimo , spectral efficiency , computer science , overhead (engineering) , channel state information , algorithm , channel (broadcasting) , compressed sensing , spatial multiplexing , multiplexing , frequency domain , mimo ofdm , telecommunications , wireless , computer vision , operating system
In this study, a spectral efficient channel recovery scheme is proposed for spatial‐temporal correlated sparse massive multiple‐input multiple‐output (MIMO) orthogonal frequency division multiplexing systems. By exploiting the spatial‐temporal correlations of massive MIMO channels, superimposed time‐frequency training sequences (TSs) are jointly utilised for accurate channel state information (CSI) acquisition. Moreover, a novel time‐frequency TS pattern design scheme is proposed to improve the recovery performance based on structured compressive sensing theory. Furthermore, the discrete prolate spheroidal basis expansion model of massive MIMO channels in the space‐domain is utilised to reduce the frequency‐domain pilots overhead and improve the spectral efficiency. Simulation results show that the proposed scheme could achieve accurate CSI with great improvement in spectral efficiency and computational complexity.