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In massive multiple-input multiple-output (MIMO) mobile system, the computational complexity of signal detection increases exponentially along with the growing number of antennas. For example, the sub-optimal linear detection schemes, such as zero forcing (ZF) detector and minimum mean square error (MMSE) detector, always have to balance the performance and complexity resulted from the large-scale matrix inversion operations. Recently, some iterative linear solvers, such as conjugate gradient (CG), have been proposed to address this issue. These series of detection algorithms offer a better tradeoff between error-rate performance and computational complexity by avoiding the computation-hungry operations like matrix inversion. However, when the the system loading factor ρ goes up, their results are no longer satisfactory. To solve the aforementioned issues, this paper 1) first introduces a novel, low …