Regularized Ising Formulation for Near-Optimal MIMO Detection using Quantum Inspired Solvers

Abhishek Kumar Singh, Kyle Jamieson, Peter L. McMahon, Davide Venturelli

Research output: Contribution to journalConference articlepeer-review

Abstract

Optimal MIMO detection is one of the most computationally challenging tasks in wireless systems. We show that the quantum-inspired computing approach based on Coherent Ising Machines (CIMs) is a promising candidate for performing near-optimal MIMO detection. We propose a novel regularized Ising formulation for MIMO detection that mitigates a common error floor issue in the direct approach adopted in the existing literature on MIMO detection using Quantum Annealing. We evaluate our methods using a simplified, quantum-inspired model and show that our methods can achieve a near-optimal performance for several Large MIMO systems, like 16times 16,20times 20, and 24times 24 MIMO with BPSK modulation.

Original languageEnglish (US)
Pages (from-to)2517-2522
Number of pages6
JournalProceedings - IEEE Global Communications Conference, GLOBECOM
DOIs
StatePublished - 2022
Event2022 IEEE Global Communications Conference, GLOBECOM 2022 - Virtual, Online, Brazil
Duration: Dec 4 2022Dec 8 2022

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing

Keywords

  • Coherent Ising machines
  • Large MIMO
  • MIMO detection
  • Physics-inspired Ising machine-based computation
  • Quantum inspired solvers

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