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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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)
Title of host publication2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2517-2522
Number of pages6
ISBN (Electronic)9781665435406
DOIs
StatePublished - 2022
Event2022 IEEE Global Communications Conference, GLOBECOM 2022 - Virtual, Online, Brazil
Duration: Dec 4 2022Dec 8 2022

Publication series

Name2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings

Conference

Conference2022 IEEE Global Communications Conference, GLOBECOM 2022
Country/TerritoryBrazil
CityVirtual, Online
Period12/4/2212/8/22

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing
  • Renewable Energy, Sustainability and the Environment
  • Safety, Risk, Reliability and Quality

Keywords

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

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