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Table 2 Latency benchmarks of evaluated soft-output MIMO detection algorithms for a \(2 \times 2\), 64-QAM scenario. B represents the batch size during parallelized inference. All values are expressed in milliseconds and represent average execution times for the entire batch

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

 

EQ-Net

EQ-Net

NN-Det

NN-Det

OAMP-

MMSE-

ZF-

SD

 

(L)

(P)

(L)

(P)

Net2

SIC

SIC

 

Latency CPU [ms], \(B = 1\)

1.511

1.903

2.269

2.689

2.125

0.603

0.559

0.6935

Latency CPU [ms], \(B = 16\)

1.767

2.292

2.565

3.073

2.376

0.831

0.787

4.547

Latency GPU [ms], \(B = 8192\)

6.523

8.767

12.61

15.91

25.94

7.907

5.311

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