Title :
A Novel Antenna Selection Scheme for Spatially Correlated Massive MIMO Uplinks with Imperfect Channel Estimation
Author :
De Mi ; Dianati, Mehrdad ; Muhaidat, Sami ; Yan Chen
Author_Institution :
Centre for Commun. Syst. Res. (CCSR), Univ. of Surrey, Guildford, UK
Abstract :
We propose a new antenna selection scheme for a massive MIMO system with a single user terminal and a base station with a large number of antennas. We consider a practical scenario where there is a realistic correlation among the antennas and imperfect channel estimation at the receiver side. The proposed scheme exploits the sparsity of the channel matrix for the effective selection of a limited number of antennas. To this end, we compute a sparse channel matrix by minimising the mean squared error. This optimisation problem is then solved by the well-known orthogonal matching pursuit algorithm. Widely used models for spatial correlation among the antennas and channel estimation errors are considered in this work. Simulation results demonstrate that when the impacts of spatial correlation and imperfect channel estimation introduced, the proposed scheme in the paper can significantly reduce complexity of the receiver, without degrading the system performance compared to the maximum ratio combining.
Keywords :
MIMO communication; antenna arrays; channel estimation; iterative methods; mean square error methods; optimisation; radio receivers; time-frequency analysis; antenna selection scheme; base station; channel estimation errors; imperfect channel estimation; massive MIMO uplinks; maximum ratio combining; mean squared error; orthogonal matching pursuit algorithm; radio receiver side; single user terminal; sparse channel matrix; Bit error rate; Channel estimation; Correlation; Receiving antennas; Signal to noise ratio;
Conference_Titel :
Vehicular Technology Conference (VTC Spring), 2015 IEEE 81st
Conference_Location :
Glasgow
DOI :
10.1109/VTCSpring.2015.7145629