Doped expectation propagation for low-complexity message passing based detection

被引：1

作者：

Wang, Wei ^{[1
]}

Wang, Zhongyong ^{[1
]}

Guo, Qinghua ^{[2
]}

Zhang, Chuanzong ^{[1
]}

Sun, Peng ^{[1
]}

机构：

[1] Zhengzhou Univ, Sch Informat Engn, Zhengzhou 450001, Peoples R China

[2] Univ Wollongong, Sch Elect Comp & Telecommun Engn, Wollongong, NSW, Australia

来源：

ELECTRONICS LETTERS | 2017年 / 53卷 / 06期

基金：

中国国家自然科学基金; 澳大利亚研究理事会;

关键词：

message passing; approximation theory; Gaussian processes; signal detection; radiowave propagation; MIMO communication; low-complexity message passing-based detection; discrete-valued symbol; EP-based Gaussian approximation; doped expectation propagation; DEP approach; MIMO detection; TURBO EQUALIZATION;

D O I：

10.1049/el.2016.3467

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Expectation propagation (EP) has been used for Gaussian approximation of discrete-valued symbols to achieve low-complexity message passing based detection. It has been shown that EP-based Gaussian approximation significantly outperforms the direct Gaussian approximation. A doped EP (DEP) approach to Gaussian approximation is proposed, where the EP message is mixed with the Gaussian message obtained through direct approximation. It is demonstrated that the DEP approach delivers remarkably better performance than the EP one.

引用

页码：403 / 405

页数：2

共 50 条

[21] A Low Complexity Expectation Propagation Detection for Massive MIMO System
Yao, Guoqiang
Yang, Guiwu
Hu, Jianhao
Fei, Chao
2018 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2018,
[22] Low-Complexity MIMO Detection Based on Belief Propagation Over Pairwise Graphs
Yoon, Seokhyun
Chae, Chan-Byoung
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2014, 63 (05) : 2363 - 2377
[23] Low-complexity Architectures for Reliability-based Message-passing Non-binary LDPC Decoding
Zhang, Xinmiao
Cai, Fang
2011 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), 2011, : 1303 - 1306
[24] A Low-Complexity Iterative Message Passing Algorithm for Robust RSS-TOA IoT Localization
Xiong, Wenxin
Mohanty, Sneha
Schindelhauer, Christian
IEEE INTERNET OF THINGS JOURNAL, 2023, 10 (18) : 16028 - 16035
[25] Centralized and Distributed Sparsification for Low-Complexity Message Passing Algorithm in C-RAN Architectures
Brighente, Alessandro
Tomasin, Stefano
2017 IEEE 86TH VEHICULAR TECHNOLOGY CONFERENCE (VTC-FALL), 2017,
[26] Low-Complexity Precoding Design for Massive Multiuser MIMO Systems Using Approximate Message Passing
Chen, Jung-Chieh
Wang, Chang-Jen
Wong, Kai-Kit
Wen, Chao-Kai
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2016, 65 (07) : 5707 - 5714
[27] A Low-Complexity Gaussian Message Passing Iterative Detector for Massive MU-MIMO Systems
Liu, Lei
Yuen, Chau
Guan, Yong Liang
Li, Ying
Su, Yuping
2015 10TH INTERNATIONAL CONFERENCE ON INFORMATION, COMMUNICATIONS AND SIGNAL PROCESSING (ICICS), 2015,
[28] QR-Decomposed Generalized Belief Propagation with Smart Message Reduction for Low-Complexity MIMO Signal Detection
Shigyo, Akihide David
Ishibashi, Koji
2017 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA ASC 2017), 2017, : 1795 - 1799
[29] Joint message-passing-based accurate bidirectional channel estimation and generalized-approximation-message-passing-based low-complexity perfect equalization with underwater moving transceivers q
Wang, Liang
Qiao, Peiyue
Liang, Junyan
Chen, Tong
Wang, Xinjie
Yang, Guang
APPLIED ACOUSTICS, 2022, 196
[30] Layered Belief Propagation for Low-complexity Large MIMO Detection Based on Statistical Beams
Takahashi, Takumi
Tolli, Antti
Ibi, Shinsuke
Sampei, Seiichi
ICC 2019 - 2019 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2019,

← 1 2 3 4 5 →