An auxiliary variable-aided hybrid message passing approach to joint channel estimation and decoding for MIMO-OFDM

Authors

Zhengdao Yuan, Zhengzhou Institute of Information Science and Technology
Chuanzong Zhang, Zhengzhou University, Aalborg UniversityFollow
Zhongyong Wang, Zhengzhou University
Qinghua Guo, University of WollongongFollow
Jiangtao Xi, University of WollongongFollow

RIS ID

112235

Publication Details

Z. Yuan, C. Zhang, Z. Wang, Q. Guo & J. Xi, "An auxiliary variable-aided hybrid message passing approach to joint channel estimation and decoding for MIMO-OFDM," IEEE Signal Processing Letters, vol. 24, (1) pp. 12-16, 2017.

Abstract

This letter deals with message passing receiver design for joint channel estimation and decoding in MIMO-OFDM with unknown noise variance. The conventional factor graph representation for the system involves observation factors, which are functions of a number of variables in the form of multiplication and summation. In this work, by introducing some auxiliary variables, we further break each of the observation factors into several factors, which enables the use of hybrid mean field (MF), belief propagation (BP), and expectation propagation (EP) message passing to tackle the observation factors. It turns out that our approach is much more efficient than the existing approaches, leading to remarkable performance improvement as shown by simulation results.

Grant Number

ARC/DE120101266