Joint Blind Channel Estimation, Activity Detection, and Decoding for Coded Massive Random Access

Yifei Zhang; Guanghui Song; Ying Li; Zhaoji Zhang; Yong Liang Guan; Chau Yuen

doi:10.1109/WCSP58612.2023.10405018

Joint Blind Channel Estimation, Activity Detection, and Decoding for Coded Massive Random Access

Yifei Zhang^*, Guanghui Song^*, Ying Li^*, Zhaoji Zhang^*, Yong Liang Guan, Chau Yuen

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

A signal scrambling based joint blind channel estimation, activity detection, and data decoding (SS-JCAD) scheme is proposed for coded massive random access systems. The signal scrambling, which is a symbol-wise phase rotation to each user's modulated data, has no bandwidth expansion and energy consumption. Yet, with it, each user's channel state information (CSI), including both the user's active status and channel coefficient, is blindly detected by a low-complexity single-user maximum a posteriori estimation without the help of pilots. With the estimated CSI as a prior, a soft parallel interference cancellation based multi-user decoding is performed. A soft information iteration algorithm between the channel estimation and multi-user decoding is developed to improve the reliability of both. Simulation shows that for massive random access systems with system load less than 1.5, SS-JCAD achieves almost the same bit error rate as the ideal case that perfect CSI is available, implying SS-JCAD as a near-optimal solution to the random access problem.

Original language	English
Title of host publication	2023 IEEE 15th International Conference on Wireless Communications and Signal Processing, WCSP 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	251-256
Number of pages	6
ISBN (Electronic)	9798350324662
DOIs	https://doi.org/10.1109/WCSP58612.2023.10405018
Publication status	Published - 2023
Externally published	Yes
Event	15th IEEE International Conference on Wireless Communications and Signal Processing, WCSP 2023 - Hangzhou, China Duration: Nov 2 2023 → Nov 4 2023

Publication series

Name	2023 IEEE 15th International Conference on Wireless Communications and Signal Processing, WCSP 2023

Conference

Conference	15th IEEE International Conference on Wireless Communications and Signal Processing, WCSP 2023
Country/Territory	China
City	Hangzhou
Period	11/2/23 → 11/4/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

ASJC Scopus Subject Areas

Media Technology
Artificial Intelligence
Computer Networks and Communications
Computer Vision and Pattern Recognition
Signal Processing

Keywords

blind channel estimation
grant-free NOMA
joint channel estimation and multi-user decoding
massive random access
signal scrambling

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/WCSP58612.2023.10405018

Cite this

Zhang, Y., Song, G., Li, Y., Zhang, Z., Guan, Y. L., & Yuen, C. (2023). Joint Blind Channel Estimation, Activity Detection, and Decoding for Coded Massive Random Access. In 2023 IEEE 15th International Conference on Wireless Communications and Signal Processing, WCSP 2023 (pp. 251-256). (2023 IEEE 15th International Conference on Wireless Communications and Signal Processing, WCSP 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WCSP58612.2023.10405018

Zhang, Yifei ; Song, Guanghui ; Li, Ying et al. / Joint Blind Channel Estimation, Activity Detection, and Decoding for Coded Massive Random Access. 2023 IEEE 15th International Conference on Wireless Communications and Signal Processing, WCSP 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 251-256 (2023 IEEE 15th International Conference on Wireless Communications and Signal Processing, WCSP 2023).

@inproceedings{81e0552020b543648dcf496921894698,

title = "Joint Blind Channel Estimation, Activity Detection, and Decoding for Coded Massive Random Access",

abstract = "A signal scrambling based joint blind channel estimation, activity detection, and data decoding (SS-JCAD) scheme is proposed for coded massive random access systems. The signal scrambling, which is a symbol-wise phase rotation to each user's modulated data, has no bandwidth expansion and energy consumption. Yet, with it, each user's channel state information (CSI), including both the user's active status and channel coefficient, is blindly detected by a low-complexity single-user maximum a posteriori estimation without the help of pilots. With the estimated CSI as a prior, a soft parallel interference cancellation based multi-user decoding is performed. A soft information iteration algorithm between the channel estimation and multi-user decoding is developed to improve the reliability of both. Simulation shows that for massive random access systems with system load less than 1.5, SS-JCAD achieves almost the same bit error rate as the ideal case that perfect CSI is available, implying SS-JCAD as a near-optimal solution to the random access problem.",

keywords = "blind channel estimation, grant-free NOMA, joint channel estimation and multi-user decoding, massive random access, signal scrambling",

author = "Yifei Zhang and Guanghui Song and Ying Li and Zhaoji Zhang and Guan, {Yong Liang} and Chau Yuen",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 15th IEEE International Conference on Wireless Communications and Signal Processing, WCSP 2023 ; Conference date: 02-11-2023 Through 04-11-2023",

year = "2023",

doi = "10.1109/WCSP58612.2023.10405018",

language = "English",

series = "2023 IEEE 15th International Conference on Wireless Communications and Signal Processing, WCSP 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "251--256",

booktitle = "2023 IEEE 15th International Conference on Wireless Communications and Signal Processing, WCSP 2023",

address = "United States",

}

Zhang, Y, Song, G, Li, Y, Zhang, Z, Guan, YL & Yuen, C 2023, Joint Blind Channel Estimation, Activity Detection, and Decoding for Coded Massive Random Access. in 2023 IEEE 15th International Conference on Wireless Communications and Signal Processing, WCSP 2023. 2023 IEEE 15th International Conference on Wireless Communications and Signal Processing, WCSP 2023, Institute of Electrical and Electronics Engineers Inc., pp. 251-256, 15th IEEE International Conference on Wireless Communications and Signal Processing, WCSP 2023, Hangzhou, China, 11/2/23. https://doi.org/10.1109/WCSP58612.2023.10405018

Joint Blind Channel Estimation, Activity Detection, and Decoding for Coded Massive Random Access. / Zhang, Yifei; Song, Guanghui; Li, Ying et al.
2023 IEEE 15th International Conference on Wireless Communications and Signal Processing, WCSP 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 251-256 (2023 IEEE 15th International Conference on Wireless Communications and Signal Processing, WCSP 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Joint Blind Channel Estimation, Activity Detection, and Decoding for Coded Massive Random Access

AU - Zhang, Yifei

AU - Song, Guanghui

AU - Li, Ying

AU - Zhang, Zhaoji

AU - Guan, Yong Liang

AU - Yuen, Chau

PY - 2023

Y1 - 2023

N2 - A signal scrambling based joint blind channel estimation, activity detection, and data decoding (SS-JCAD) scheme is proposed for coded massive random access systems. The signal scrambling, which is a symbol-wise phase rotation to each user's modulated data, has no bandwidth expansion and energy consumption. Yet, with it, each user's channel state information (CSI), including both the user's active status and channel coefficient, is blindly detected by a low-complexity single-user maximum a posteriori estimation without the help of pilots. With the estimated CSI as a prior, a soft parallel interference cancellation based multi-user decoding is performed. A soft information iteration algorithm between the channel estimation and multi-user decoding is developed to improve the reliability of both. Simulation shows that for massive random access systems with system load less than 1.5, SS-JCAD achieves almost the same bit error rate as the ideal case that perfect CSI is available, implying SS-JCAD as a near-optimal solution to the random access problem.

AB - A signal scrambling based joint blind channel estimation, activity detection, and data decoding (SS-JCAD) scheme is proposed for coded massive random access systems. The signal scrambling, which is a symbol-wise phase rotation to each user's modulated data, has no bandwidth expansion and energy consumption. Yet, with it, each user's channel state information (CSI), including both the user's active status and channel coefficient, is blindly detected by a low-complexity single-user maximum a posteriori estimation without the help of pilots. With the estimated CSI as a prior, a soft parallel interference cancellation based multi-user decoding is performed. A soft information iteration algorithm between the channel estimation and multi-user decoding is developed to improve the reliability of both. Simulation shows that for massive random access systems with system load less than 1.5, SS-JCAD achieves almost the same bit error rate as the ideal case that perfect CSI is available, implying SS-JCAD as a near-optimal solution to the random access problem.

KW - blind channel estimation

KW - grant-free NOMA

KW - joint channel estimation and multi-user decoding

KW - massive random access

KW - signal scrambling

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DO - 10.1109/WCSP58612.2023.10405018

M3 - Conference contribution

AN - SCOPUS:85185878271

T3 - 2023 IEEE 15th International Conference on Wireless Communications and Signal Processing, WCSP 2023

SP - 251

EP - 256

BT - 2023 IEEE 15th International Conference on Wireless Communications and Signal Processing, WCSP 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 15th IEEE International Conference on Wireless Communications and Signal Processing, WCSP 2023

Y2 - 2 November 2023 through 4 November 2023

ER -

Zhang Y, Song G, Li Y, Zhang Z, Guan YL, Yuen C. Joint Blind Channel Estimation, Activity Detection, and Decoding for Coded Massive Random Access. In 2023 IEEE 15th International Conference on Wireless Communications and Signal Processing, WCSP 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 251-256. (2023 IEEE 15th International Conference on Wireless Communications and Signal Processing, WCSP 2023). doi: 10.1109/WCSP58612.2023.10405018

Joint Blind Channel Estimation, Activity Detection, and Decoding for Coded Massive Random Access

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus Subject Areas

Keywords

UN SDGs

Access to Document

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Cite this