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Joint Semi-Blind Self-Interference Cancellation and Equalisation Processes in 5G QC-LDPC-Encoded Short-Packet Full-Duplex Transmissions

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Bibliographic Details
Title: Joint Semi-Blind Self-Interference Cancellation and Equalisation Processes in 5G QC-LDPC-Encoded Short-Packet Full-Duplex Transmissions
Authors: Bao Quoc Vuong, Roland Gautier, Hien Quang Ta, Lap Luat Nguyen, Anthony Fiche, Mélanie Marazin
Source: Sensors, Vol 22, Iss 2204, p 2204 (2022)
Publisher Information: MDPI AG
Publication Year: 2022
Collection: Directory of Open Access Journals: DOAJ Articles
Subject Terms: full-duplex, digital self-interference cancellation, 5G LDPC codes, short-packet transmission, semi-blind channel estimation, recursive least-squares algorithm, Chemical technology, TP1-1185
Description: The paper proposes a joint semi-blind algorithm for simultaneously cancelling the self-interference component and estimating the propagation channel in 5G Quasi-Cyclic Low-Density Parity-Check (QC-LDPC)-encoded short-packet Full-Duplex (FD) transmissions. To avoid the effect of channel estimation processes when using short-packet transmissions, this semi-blind algorithm was developed by taking into account only a small number (four at least) pilot symbols, which was integrated with the intended information sequence and used for the feedback loop of the estimation of the channels. The results showed that this semi-blind algorithm not only achieved nearly optimal performance, but also significantly reduced the processing time and computational complexity. This semi-blind algorithm can also improve the performances of the Mean-Squared Error (MSE) and Bit Error Rate (BER). The results of this study highlight the potential efficiency of this joint semi-blind iterative algorithm for 5G and Beyond and/or practical IoT transmission scenarios.
Document Type: article in journal/newspaper
Language: English
Relation: https://www.mdpi.com/1424-8220/22/6/2204; https://doaj.org/toc/1424-8220; https://doaj.org/article/22b8b6f39b764f18aee26d1cb24c2123
DOI: 10.3390/s22062204
Availability: https://doi.org/10.3390/s22062204
https://doaj.org/article/22b8b6f39b764f18aee26d1cb24c2123
Accession Number: edsbas.42AFAC5E
Database: BASE
Description
Abstract:The paper proposes a joint semi-blind algorithm for simultaneously cancelling the self-interference component and estimating the propagation channel in 5G Quasi-Cyclic Low-Density Parity-Check (QC-LDPC)-encoded short-packet Full-Duplex (FD) transmissions. To avoid the effect of channel estimation processes when using short-packet transmissions, this semi-blind algorithm was developed by taking into account only a small number (four at least) pilot symbols, which was integrated with the intended information sequence and used for the feedback loop of the estimation of the channels. The results showed that this semi-blind algorithm not only achieved nearly optimal performance, but also significantly reduced the processing time and computational complexity. This semi-blind algorithm can also improve the performances of the Mean-Squared Error (MSE) and Bit Error Rate (BER). The results of this study highlight the potential efficiency of this joint semi-blind iterative algorithm for 5G and Beyond and/or practical IoT transmission scenarios.
DOI:10.3390/s22062204