SIMD-enabled Physics-inspired MIMO detector for Uplink Multi-user MIMO

Physics-inspired computation and Ising machines have grown as a new alternative to conventional algorithms and have shown promising performance for several NP-Hard problems. However, the existing state-of-the-art focuses on empirical performance gains and either ignores the practical real-time constraints or makes strong assumptions about practical deployments. In this work, we utilize the SIMD capabilities of Intel Xeon CPU to implement an Ising solver for MIMO detection which meets the real-time processing and timing constraints of an LTE/5G system. We further evaluate the end-to-end performance of our proposed MIMO solver via trace-driven simulations with a hybrid MATLAB/NS3 simulator.

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Published
2024-12-04
DOI
https://doi.org/10.1145/3636534.3697436
Primary Topic
Error Correcting Code Techniques
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article
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article

SIMD-enabled Physics-inspired MIMO detector for Uplink Multi-user MIMO

Kyle Jamieson, Abhishek Kumar Singh
Error Correcting Code Techniques
article

SIMD-enabled Physics-inspired MIMO detector for Uplink Multi-user MIMO

Kyle Jamieson, Abhishek Kumar Singh
article en

Abstract

Physics-inspired computation and Ising machines have grown as a new alternative to conventional algorithms and have shown promising performance for several NP-Hard problems. However, the existing state-of-the-art focuses on empirical performance gains and either ignores the practical real-time constraints or makes strong assumptions about practical deployments. In this work, we utilize the SIMD capabilities of Intel Xeon CPU to implement an Ising solver for MIMO detection which meets the real-time processing and timing constraints of an LTE/5G system. We further evaluate the end-to-end performance of our proposed MIMO solver via trace-driven simulations with a hybrid MATLAB/NS3 simulator.

Princeton University (US)
Affordable and clean energy
Openalex Percentile: Top 75%
Error Correcting Code Techniques
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