Vector approximate message passing based iterative receiver for OTFS system

Nan WU; Yikun ZHANG; Yunsi MA; Bin LI; Weijie YUAN

doi:10.1109/ICCCWorkshops52231.2021.9538876

Vector approximate message passing based iterative receiver for OTFS system

Nan WU, Yikun ZHANG, Yunsi MA, Bin LI, Weijie YUAN

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

6 Citations (Scopus)

Abstract

In this paper, we develop an iterative message passing receiver based on factor graph for orthogonal time frequency space (OTFS) systems over doubly selective channels. By factorizing the joint probability of the data symbols and the received signals, we construct a loop-free factor graph with vector-valued nodes. Then, vector approximate message passing (VAMP) is employed to derive message updating expressions of variables on factor graph. To improve the accuracy of symbol detection, we vectorize the scalar variance terms of VAMP. Based on the singular value decomposition of block circulant channel matrix of OTFS system, we introduce the average approximation to circumvent the matrix inversion operation and then develop a low-complexity VAMP-based algorithm. Simulation results demonstrate the effectiveness of the proposed algorithms, which outperform the existing minimum mean square error algorithm and the message passing algorithm in terms of bit error rate (BER) performance.

Original language	English
Title of host publication	2021 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2021
Publisher	IEEE
Pages	422-426
Number of pages	5
ISBN (Electronic)	9781665439442
ISBN (Print)	9781665439459
DOIs	https://doi.org/10.1109/ICCCWorkshops52231.2021.9538876
Publication status	Published - 28 Jul 2021
Externally published	Yes
Event	2021 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2021 - Xiamen, China Duration: 28 Jul 2021 → 30 Jul 2021

Conference

Conference	2021 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2021
Country/Territory	China
City	Xiamen
Period	28/07/21 → 30/07/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Funding

This work was supported in part by the Beijing Institute of Technology Research Fund Program for Young Scholars through Project No. 3050012222104 and the National Natural Science Foundation of China with Grant Nos. 62001027, 61971041.

Keywords

Doubly selective channels
Orthogonal time frequency space (OTFS)
Vector approximate message passing (VAMP).

Access to Document

10.1109/ICCCWorkshops52231.2021.9538876

Cite this

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title = "Vector approximate message passing based iterative receiver for OTFS system",

abstract = "In this paper, we develop an iterative message passing receiver based on factor graph for orthogonal time frequency space (OTFS) systems over doubly selective channels. By factorizing the joint probability of the data symbols and the received signals, we construct a loop-free factor graph with vector-valued nodes. Then, vector approximate message passing (VAMP) is employed to derive message updating expressions of variables on factor graph. To improve the accuracy of symbol detection, we vectorize the scalar variance terms of VAMP. Based on the singular value decomposition of block circulant channel matrix of OTFS system, we introduce the average approximation to circumvent the matrix inversion operation and then develop a low-complexity VAMP-based algorithm. Simulation results demonstrate the effectiveness of the proposed algorithms, which outperform the existing minimum mean square error algorithm and the message passing algorithm in terms of bit error rate (BER) performance.",

keywords = "Doubly selective channels, Orthogonal time frequency space (OTFS), Vector approximate message passing (VAMP).",

author = "Nan WU and Yikun ZHANG and Yunsi MA and Bin LI and Weijie YUAN",

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doi = "10.1109/ICCCWorkshops52231.2021.9538876",

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WU, N, ZHANG, Y, MA, Y, LI, B & YUAN, W 2021, Vector approximate message passing based iterative receiver for OTFS system. in 2021 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2021. IEEE, pp. 422-426, 2021 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2021, Xiamen, China, 28/07/21. https://doi.org/10.1109/ICCCWorkshops52231.2021.9538876

TY - GEN

T1 - Vector approximate message passing based iterative receiver for OTFS system

AU - WU, Nan

AU - ZHANG, Yikun

AU - MA, Yunsi

AU - LI, Bin

AU - YUAN, Weijie

PY - 2021/7/28

Y1 - 2021/7/28

N2 - In this paper, we develop an iterative message passing receiver based on factor graph for orthogonal time frequency space (OTFS) systems over doubly selective channels. By factorizing the joint probability of the data symbols and the received signals, we construct a loop-free factor graph with vector-valued nodes. Then, vector approximate message passing (VAMP) is employed to derive message updating expressions of variables on factor graph. To improve the accuracy of symbol detection, we vectorize the scalar variance terms of VAMP. Based on the singular value decomposition of block circulant channel matrix of OTFS system, we introduce the average approximation to circumvent the matrix inversion operation and then develop a low-complexity VAMP-based algorithm. Simulation results demonstrate the effectiveness of the proposed algorithms, which outperform the existing minimum mean square error algorithm and the message passing algorithm in terms of bit error rate (BER) performance.

AB - In this paper, we develop an iterative message passing receiver based on factor graph for orthogonal time frequency space (OTFS) systems over doubly selective channels. By factorizing the joint probability of the data symbols and the received signals, we construct a loop-free factor graph with vector-valued nodes. Then, vector approximate message passing (VAMP) is employed to derive message updating expressions of variables on factor graph. To improve the accuracy of symbol detection, we vectorize the scalar variance terms of VAMP. Based on the singular value decomposition of block circulant channel matrix of OTFS system, we introduce the average approximation to circumvent the matrix inversion operation and then develop a low-complexity VAMP-based algorithm. Simulation results demonstrate the effectiveness of the proposed algorithms, which outperform the existing minimum mean square error algorithm and the message passing algorithm in terms of bit error rate (BER) performance.

KW - Doubly selective channels

KW - Orthogonal time frequency space (OTFS)

KW - Vector approximate message passing (VAMP).

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U2 - 10.1109/ICCCWorkshops52231.2021.9538876

DO - 10.1109/ICCCWorkshops52231.2021.9538876

M3 - Conference paper (refereed)

AN - SCOPUS:85116424956

SN - 9781665439459

SP - 422

EP - 426

BT - 2021 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2021

PB - IEEE

T2 - 2021 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2021

Y2 - 28 July 2021 through 30 July 2021

ER -

Vector approximate message passing based iterative receiver for OTFS system

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Keywords

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