LAUSR

Recently, massive multiple-input multiple-output (MIMO) detection schemes based on message passing detection (MPD) have attracted extensive attention due to their good performance-complexity tradeoff. In this paper, to facilitate a high-throughput detector design, we introduce a layered updating schedule and propose an improved layered MPD (ILMPD) algorithm. In the new algorithm, several algorithmic transformations or approximations are derived for lower complexity. For instance, by exploiting the property of quadratic functions, the numbers of multiplications and additions in the constellation matching are both reduced by half; Through reasonable approximations, the multiplication, addition, and sorting operations in the initialization are all removed. Moreover, a lightweight early termination strategy is explored, reducing the number of detection iterations by nearly 20%. Based on the proposed ILMPD algorithm, an area-efficient architecture is devised, where several optimization methods are proposed for fewer resources and higher clock frequency. Compared with the state-of-the-art design, the presented ILMPD detector can deliver a nearly $3\times $ higher area efficiency. A reconfigurable version of the proposed detector has also been developed, which can well support modulations QPSK to 256-QAM and still exhibits a superior area efficiency.