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 language | English (US) |
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Pages (from-to) | 2517-2522 |
Number of pages | 6 |
Journal | Proceedings - IEEE Global Communications Conference, GLOBECOM |
DOIs | |
State | Published - 2022 |
Event | 2022 IEEE Global Communications Conference, GLOBECOM 2022 - Virtual, Online, Brazil Duration: Dec 4 2022 → Dec 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