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Table 1 Latency benchmarks of soft-output MIMO detection algorithms for a \(4 \times 4\), 16-QAM scenario

From: Joint high-dimensional soft bit estimation and quantization using deep learning

  EQ-Net NN-Det OAMP- MMSE- ZF- SD
  (L) (P) Net2 SIC SIC  
Latency CPU [ms], \(B = 1\) 1.807 3.456 2.835 0.839 0.760 1.622
Latency CPU [ms], \(B = 16\) 2.256 3.953 3.227 1.109 1.012 19.52
Latency GPU [ms], \(B = 8192\) 9.107 17.251 30.501 8.248 6.253
  1. B represents the batch size during parallelized inference. All values are expressed in milliseconds and represent average execution times for the entire batch