This paper considers the selection of users and corresponding uplink decoding in multi-user multiple-input multiple-output (MU-MIMO) multi-cell systems, applicable to future wireless networks with centralized processing at the wireless controller (WC). Two-layer decoding is proposed. First, for all active mobile stations (MSs) the spatial streams are decoupled at the pre-assigned base stations (BSs) by using a zero-forcing (ZF) type algorithm.

This paper considers an interference-aware user selection and resource allocation for uplink multiuser multiple-input multiple-output (MU-MIMO) systems. At the base station (BS), zero-forcing (ZF) with singular value decomposition (SVD) decoupling of spatial streams is deployed. First, two algorithms are developed for mobile stations (MS)s and their corresponding antennas assignment as well as power allocation. The objective is to maximize the total system sum rate by considering the impact of multiple access noise enhancement on the spatial stream capacity.

This paper introduces a low complexity postprocessing technique allocating spatial streams for uplink transmissions in multiuser (MU) multiple-input multiple-output (MIMO) systems. The scheme is based on zero-forcing (ZF) cancelation of the multiple access interference (MAI) caused by simultaneous transmissions to the access point (AP) equipped with multiple receive antennas from selected users equipped with multiple transmit antennas.