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In this paper, belief propagation (BP) detection based on max-sum (MS) algorithm for massive multiple-input multiple-output (MIMO) systems is therefore proposed to reduce computational complexity of general belief propagation. Owing to employing the approximation strategy, complexity reduction of MS is at the expense of detection performance loss. Based on MS algorithm, two effective approaches are...
For polar codes, cyclic redundancy check (CRC)-aided successive cancellation list (CA-SCL) decoder has attracted increasing attention from both academia and industry. In this paper, a hardware efficient and low-latency CA-SCL polar decoder based on distributed sorting is first proposed. For path metric (PM) sorting of each level, a distributed sorting (DS) algorithm is proposed to reduce the comparison...
In massive multiple-input multiple-output (MIMO) uplink, the minimum mean square error (MMSE) algorithm is near-optimal and linear, but still suffers from high-complexity of matrix inversion. Based on Gauss-Seidel (GS) method, an efficient architecture for massive MIMO soft-output detection is proposed in this paper. To further accelerate the convergence rate of the conventional GS method with acceptable...
In massive multiple-input multiple-output (MIMO) systems, linear minimum mean square error (MMSE) detection is near-optimal but involves large dimensional matrix inversion, which results in high complexity. To this end, Neumann series expansion (NSE) approximation, which avoids the direct computation of the matrix inversion, is recently investigated due to its low implementation complexity. Unfortunately,...
This paper aims at designing an efficient hardware architecture for list successive cancellation (SC) polar decoder. Previous literatures have shown that, compared to conventional SC decoder, list SC decoder has the ability to approach the performance of maximum likelihood (ML) decoder. However, the efficient implementation of list SC decoder has not been proposed yet. To tackle this issue, first...
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