A Novel Antenna Selection Scheme for Spatially Correlated Massive MIMO Uplinks with Imperfect Channel Estimation

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.

arXiv commentin Proc. IEEE 81st Vehicular Technology Conference (VTC), May 2015, 6 pages, 5 figures

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Cited by in corpus (3)

• Massive MIMO performance with imperfect channel reciprocity and channel estimation error
• Massive MIMO Antenna Selection: Asymptotic Upper Capacity Bound and Partial CSI
• Asymptotic Upper Capacity Bound for Receive Antenna Selection in Massive MIMO Systems