Simulated Bifurcation Algorithm for MIMO Detection

TL;DR

This paper evaluates the simulated bifurcation algorithm for MIMO detection, demonstrating its superior performance over traditional linear decoders and Ising machine-based methods in wireless communication systems.

Contribution

The study introduces the application of the simulated bifurcation algorithm to MIMO detection, showing significant performance improvements over existing methods.

Findings

SB algorithm outperforms linear MMSE decoder in bit error rate

SB algorithm surpasses coherent Ising machine-based detection

Notable SNR performance gains achieved with SB algorithm

Abstract

We study the performance of the simulated bifurcation (SB) algorithm for signal detection in multiple-input multiple-output (MIMO) system, a problem of key interest in modern wireless communication systems. Our results show that SB algorithm can achieve significant performance improvement over the widely used linear minimum-mean square error decoder in terms of the bit error rate versus the signal-to-noise ratio, as well as performance improvement over the coherent Ising machine based MIMO detection method.