Abstract
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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
