  Classical antenna selection schemes require instantaneous channel state
information (CSI). This leads to high signaling overhead in the system. This
work proposes a novel joint receive antenna selection and precoding scheme for
multiuser multiple-input multiple-output uplink transmission that relies only
on the long-term statistics of the CSI. The proposed scheme designs the
switching network and the uplink precoders, such that the expected throughput
of the system in the long term is maximized. Invoking results from the random
matrix theory, we derive a closed-form expression for the expected throughput
of the system. We then develop a tractable iterative algorithm to tackle the
throughput maximization problem, capitalizing on the alternating optimization
and majorization-maximization (MM) techniques. Numerical results substantiate
the efficiency of the proposed approach and its superior performance as
compared with the baseline.
