Graph Neural Network Enhanced Approximate Message Passing for MIMO Detection

05/21/2022
by   Hengtao He, et al.
0

Efficient multiple-input multiple-output (MIMO) detection algorithms with satisfactory performance and low complexity are critical for future multi-antenna systems to meet the high throughput and ultra-low latency requirements in 5G and beyond communications. In this paper, we propose a low complexity graph neural network (GNN) enhanced approximate message passing (AMP) algorithm, AMP-GNN, for MIMO detection. The structure of the neural network is customized by unfolding the AMP algorithm and introducing the GNN module to address the inaccuracy of the Gaussian approximation for multiuser interference cancellation. Numerical results will show that the proposed AMP-GNN significantly improves the performance of the AMP detector and achieves comparable performance as the state-of-the-art deep learning-based MIMO detectors but with reduced computational complexity.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
06/19/2022

Graph Neural Network Aided MU-MIMO Detectors

Multi-user multiple-input multiple-output (MU-MIMO) systems can be used ...
research
03/14/2023

Self-attention for Enhanced OAMP Detection in MIMO Systems

Multiple-Input Multiple-Output (MIMO) systems are essential for wireless...
research
10/08/2022

Signal Detection in MIMO Systems with Hardware Imperfections: Message Passing on Neural Networks

In this paper, we investigate signal detection in multiple-input-multipl...
research
03/02/2022

Superiorized Adaptive Projected Subgradient Method with Application to MIMO Detection

In this paper, we show that the adaptive projected subgradient method (A...
research
03/15/2023

Low-Complexity Memory AMP Detector for High-Mobility MIMO-OTFS SCMA Systems

Efficient signal detectors are rather important yet challenging to achie...
research
01/11/2022

Graph Neural Network Aided Expectation Propagation Detector for MU-MIMO Systems

Multiuser massive multiple-input multiple-output (MU-MIMO) systems can b...
research
12/07/2022

A Temporal Graph Neural Network for Cyber Attack Detection and Localization in Smart Grids

This paper presents a Temporal Graph Neural Network (TGNN) framework for...

Please sign up or login with your details

Forgot password? Click here to reset