Enhanced Transform-Domain LMS based Self-Interference Cancellation in LTE Carrier Aggregation Transceivers

Christian Motz; Oliver Ploder; Thomas Paireder; Mario Huemer

doi:10.1007/978-3-030-45096-0_4

Enhanced Transform-Domain LMS based Self-Interference Cancellation in LTE Carrier Aggregation Transceivers

Christian Motz
, Oliver Ploder
, Thomas Paireder
, Mario Huemer

Institute of Signal Processing

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

Modern radio frequency transceivers for wireless communication standards operating in frequency division duplex suffer from an unwanted Tx leakage signal. In combination with carrier aggregation this might harm the receiver in form of a so-called modulated spur interference. Different digital interference cancellation techniques have been proposed but suffer from a slow adaptation rate due to the high correlation of the involved Long Term Evolution (LTE) signals. This work derives and analyzes a new form of the Least-Mean-Squares (LMS) algorithm that incorporates knowledge of the signal statistics. Simulations show that the presented algorithm can effectively improve the cancellation and adaptation performance for real world interference scenarios.

Original language	English
Title of host publication	Computer Aided Systems Theory - EUROCAST 2019, Part II, Lecture Notes in Computer Science (LNCS)
Editors	Roberto Moreno-Díaz, Alexis Quesada-Arencibia, Franz Pichler
Publisher	Springer
Pages	28-35
Number of pages	8
Volume	12014
ISBN (Print)	978-3-030-45096-0
DOIs	https://doi.org/10.1007/978-3-030-45096-0_4
Publication status	Published - Apr 2020

Publication series

Name	Lecture Notes in Computer Science (LNCS)

Fields of science

202017 Embedded systems
202040 Transmission technology
202 Electrical Engineering, Electronics, Information Engineering
202015 Electronics
202022 Information technology
202023 Integrated circuits
202028 Microelectronics
202030 Communication engineering
202037 Signal processing

JKU Focus areas

Digital Transformation

Access to Document

10.1007/978-3-030-45096-0_4

Cite this

Motz, C., Ploder, O., Paireder, T., & Huemer, M. (2020). Enhanced Transform-Domain LMS based Self-Interference Cancellation in LTE Carrier Aggregation Transceivers. In R. Moreno-Díaz, A. Quesada-Arencibia, & F. Pichler (Eds.), Computer Aided Systems Theory - EUROCAST 2019, Part II, Lecture Notes in Computer Science (LNCS) (Vol. 12014, pp. 28-35). (Lecture Notes in Computer Science (LNCS)). Springer. https://doi.org/10.1007/978-3-030-45096-0_4

Motz, Christian ; Ploder, Oliver ; Paireder, Thomas et al. / Enhanced Transform-Domain LMS based Self-Interference Cancellation in LTE Carrier Aggregation Transceivers. Computer Aided Systems Theory - EUROCAST 2019, Part II, Lecture Notes in Computer Science (LNCS). editor / Roberto Moreno-Díaz ; Alexis Quesada-Arencibia ; Franz Pichler. Vol. 12014 Springer, 2020. pp. 28-35 (Lecture Notes in Computer Science (LNCS)).

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title = "Enhanced Transform-Domain LMS based Self-Interference Cancellation in LTE Carrier Aggregation Transceivers",

abstract = "Modern radio frequency transceivers for wireless communication standards operating in frequency division duplex suffer from an unwanted Tx leakage signal. In combination with carrier aggregation this might harm the receiver in form of a so-called modulated spur interference. Different digital interference cancellation techniques have been proposed but suffer from a slow adaptation rate due to the high correlation of the involved Long Term Evolution (LTE) signals. This work derives and analyzes a new form of the Least-Mean-Squares (LMS) algorithm that incorporates knowledge of the signal statistics. Simulations show that the presented algorithm can effectively improve the cancellation and adaptation performance for real world interference scenarios.",

author = "Christian Motz and Oliver Ploder and Thomas Paireder and Mario Huemer",

year = "2020",

month = apr,

doi = "10.1007/978-3-030-45096-0\_4",

language = "English",

isbn = "978-3-030-45096-0",

volume = "12014",

series = "Lecture Notes in Computer Science (LNCS)",

publisher = "Springer",

pages = "28--35",

editor = "Roberto Moreno-D{\'i}az and Alexis Quesada-Arencibia and Franz Pichler",

booktitle = "Computer Aided Systems Theory - EUROCAST 2019, Part II, Lecture Notes in Computer Science (LNCS)",

}

Motz, C, Ploder, O, Paireder, T & Huemer, M 2020, Enhanced Transform-Domain LMS based Self-Interference Cancellation in LTE Carrier Aggregation Transceivers. in R Moreno-Díaz, A Quesada-Arencibia & F Pichler (eds), Computer Aided Systems Theory - EUROCAST 2019, Part II, Lecture Notes in Computer Science (LNCS). vol. 12014, Lecture Notes in Computer Science (LNCS), Springer, pp. 28-35. https://doi.org/10.1007/978-3-030-45096-0_4

Enhanced Transform-Domain LMS based Self-Interference Cancellation in LTE Carrier Aggregation Transceivers. / Motz, Christian; Ploder, Oliver; Paireder, Thomas et al.
Computer Aided Systems Theory - EUROCAST 2019, Part II, Lecture Notes in Computer Science (LNCS). ed. / Roberto Moreno-Díaz; Alexis Quesada-Arencibia; Franz Pichler. Vol. 12014 Springer, 2020. p. 28-35 (Lecture Notes in Computer Science (LNCS)).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

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T1 - Enhanced Transform-Domain LMS based Self-Interference Cancellation in LTE Carrier Aggregation Transceivers

AU - Motz, Christian

AU - Ploder, Oliver

AU - Paireder, Thomas

AU - Huemer, Mario

PY - 2020/4

Y1 - 2020/4

N2 - Modern radio frequency transceivers for wireless communication standards operating in frequency division duplex suffer from an unwanted Tx leakage signal. In combination with carrier aggregation this might harm the receiver in form of a so-called modulated spur interference. Different digital interference cancellation techniques have been proposed but suffer from a slow adaptation rate due to the high correlation of the involved Long Term Evolution (LTE) signals. This work derives and analyzes a new form of the Least-Mean-Squares (LMS) algorithm that incorporates knowledge of the signal statistics. Simulations show that the presented algorithm can effectively improve the cancellation and adaptation performance for real world interference scenarios.

AB - Modern radio frequency transceivers for wireless communication standards operating in frequency division duplex suffer from an unwanted Tx leakage signal. In combination with carrier aggregation this might harm the receiver in form of a so-called modulated spur interference. Different digital interference cancellation techniques have been proposed but suffer from a slow adaptation rate due to the high correlation of the involved Long Term Evolution (LTE) signals. This work derives and analyzes a new form of the Least-Mean-Squares (LMS) algorithm that incorporates knowledge of the signal statistics. Simulations show that the presented algorithm can effectively improve the cancellation and adaptation performance for real world interference scenarios.

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SN - 978-3-030-45096-0

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EP - 35

BT - Computer Aided Systems Theory - EUROCAST 2019, Part II, Lecture Notes in Computer Science (LNCS)

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Motz C, Ploder O, Paireder T, Huemer M. Enhanced Transform-Domain LMS based Self-Interference Cancellation in LTE Carrier Aggregation Transceivers. In Moreno-Díaz R, Quesada-Arencibia A, Pichler F, editors, Computer Aided Systems Theory - EUROCAST 2019, Part II, Lecture Notes in Computer Science (LNCS). Vol. 12014. Springer. 2020. p. 28-35. (Lecture Notes in Computer Science (LNCS)). doi: 10.1007/978-3-030-45096-0_4

Enhanced Transform-Domain LMS based Self-Interference Cancellation in LTE Carrier Aggregation Transceivers

Abstract

Publication series

Fields of science

JKU Focus areas

Access to Document

Other files and links

Christian Doppler Laboratory for Digitally Assisted RF Transceivers for Future Mobile Communications

Cite this

Enhanced Transform-Domain LMS based Self-Interference Cancellation in LTE Carrier Aggregation Transceivers

Abstract

Publication series

Fields of science

JKU Focus areas

Access to Document

Other files and links

Projects

Christian Doppler Laboratory for Digitally Assisted RF Transceivers for Future Mobile Communications

Cite this