We propose a new, low-complexity data-detection algorithm and a corresponding high-throughput FPGA design for 3GPP LTE-based large-scale (or massive) multi-user (MU) multiple-input multiple-output (MIMO) wireless communication systems. Our algorithm performs approximate minimum mean-square error (MMSE) data detection using coordinate descent (CD), which enables near-MMSE performance at low computational complexity, even for systems with ...

Massive multi-user (MU) multiple-input multiple-output (MIMO) is widely believed to be a core technology for the upcoming fifth-generation (5G) wireless communication standards. The use of low-precision digital-to-analog converters (DACs) in MU-MIMO base stations is of interest because it reduces the power consumption, system costs, and raw baseband data rates. In this paper, we develop novel algorithms for downlink precoding in massive ...