Analysis of Wiener-Hammerstein equalizer for downlink LTE system

Nasreddine Mallouki; Bechir Nsiri; Sofiene Mhatli; Mohammad Ghanbarisabagh; Walid Hakimi; Mahmoud Ammar; Elias Giacoumidis; Rabah Attia

doi:10.1109/SAI.2015.7237276

Analysis of Wiener-Hammerstein equalizer for downlink LTE system

Nasreddine Mallouki, Bechir Nsiri, Sofiene Mhatli, Mohammad Ghanbarisabagh, Walid Hakimi, Mahmoud Ammar, Elias Giacoumidis, Rabah Attia

Aston Institute of Photonic Technologies (AiPT)

Research output: Chapter in Book/Published conference output › Conference publication

Abstract

We propose a Wiener-Hammerstein (W-H) channel estimation algorithm for Long-Term Evolution (LTE) systems. The LTE standard provides known data as pilot symbols and exploits them through coherent detection to improve system performance. These drivers are placed in a hybrid way to cover up both time and frequency domain. Our aim is to adapt the W-H equalizer (W-H/E) to LTE standard for compensation of both linear and nonlinear effects induced by power amplifiers and multipath channels. We evaluate the performance of the W-H/E for a Downlink LTE system in terms of BLER, EVM and Throughput versus SNR. Afterwards, we compare the results with a traditional Least-Mean Square (LMS) equalizer. It is shown that W-H/E can significantly reduce both linear and nonlinear distortions compared to LMS and improve LTE Downlink system performance.

Original language	English
Title of host publication	Proceedings of 2015 Science and Information conference (SAI)
Publisher	IEEE
Pages	1077-1082
Number of pages	6
ISBN (Print)	978-1-4799-8547-0
DOIs	https://doi.org/10.1109/SAI.2015.7237276
Publication status	Published - 2015
Event	Science and Information conference - London, United Kingdom Duration: 28 Jul 2015 → 30 Jul 2015

Conference

Conference	Science and Information conference
Abbreviated title	SAI 2015
Country/Territory	United Kingdom
City	London
Period	28/07/15 → 30/07/15

Keywords

LMS
LTE
Wiener-Hammerstein

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10.1109/SAI.2015.7237276

Cite this

@inproceedings{da0f24192bd447c695ad9a0fb09e79a3,

title = "Analysis of Wiener-Hammerstein equalizer for downlink LTE system",

abstract = "We propose a Wiener-Hammerstein (W-H) channel estimation algorithm for Long-Term Evolution (LTE) systems. The LTE standard provides known data as pilot symbols and exploits them through coherent detection to improve system performance. These drivers are placed in a hybrid way to cover up both time and frequency domain. Our aim is to adapt the W-H equalizer (W-H/E) to LTE standard for compensation of both linear and nonlinear effects induced by power amplifiers and multipath channels. We evaluate the performance of the W-H/E for a Downlink LTE system in terms of BLER, EVM and Throughput versus SNR. Afterwards, we compare the results with a traditional Least-Mean Square (LMS) equalizer. It is shown that W-H/E can significantly reduce both linear and nonlinear distortions compared to LMS and improve LTE Downlink system performance.",

keywords = "LMS, LTE, Wiener-Hammerstein",

author = "Nasreddine Mallouki and Bechir Nsiri and Sofiene Mhatli and Mohammad Ghanbarisabagh and Walid Hakimi and Mahmoud Ammar and Elias Giacoumidis and Rabah Attia",

year = "2015",

doi = "10.1109/SAI.2015.7237276",

language = "English",

isbn = "978-1-4799-8547-0",

pages = "1077--1082",

booktitle = "Proceedings of 2015 Science and Information conference (SAI)",

publisher = "IEEE",

address = "United States",

note = "Science and Information conference, SAI 2015 ; Conference date: 28-07-2015 Through 30-07-2015",

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TY - GEN

T1 - Analysis of Wiener-Hammerstein equalizer for downlink LTE system

AU - Mallouki, Nasreddine

AU - Nsiri, Bechir

AU - Mhatli, Sofiene

AU - Ghanbarisabagh, Mohammad

AU - Hakimi, Walid

AU - Ammar, Mahmoud

AU - Giacoumidis, Elias

AU - Attia, Rabah

PY - 2015

Y1 - 2015

N2 - We propose a Wiener-Hammerstein (W-H) channel estimation algorithm for Long-Term Evolution (LTE) systems. The LTE standard provides known data as pilot symbols and exploits them through coherent detection to improve system performance. These drivers are placed in a hybrid way to cover up both time and frequency domain. Our aim is to adapt the W-H equalizer (W-H/E) to LTE standard for compensation of both linear and nonlinear effects induced by power amplifiers and multipath channels. We evaluate the performance of the W-H/E for a Downlink LTE system in terms of BLER, EVM and Throughput versus SNR. Afterwards, we compare the results with a traditional Least-Mean Square (LMS) equalizer. It is shown that W-H/E can significantly reduce both linear and nonlinear distortions compared to LMS and improve LTE Downlink system performance.

AB - We propose a Wiener-Hammerstein (W-H) channel estimation algorithm for Long-Term Evolution (LTE) systems. The LTE standard provides known data as pilot symbols and exploits them through coherent detection to improve system performance. These drivers are placed in a hybrid way to cover up both time and frequency domain. Our aim is to adapt the W-H equalizer (W-H/E) to LTE standard for compensation of both linear and nonlinear effects induced by power amplifiers and multipath channels. We evaluate the performance of the W-H/E for a Downlink LTE system in terms of BLER, EVM and Throughput versus SNR. Afterwards, we compare the results with a traditional Least-Mean Square (LMS) equalizer. It is shown that W-H/E can significantly reduce both linear and nonlinear distortions compared to LMS and improve LTE Downlink system performance.

KW - LMS

KW - LTE

KW - Wiener-Hammerstein

UR - http://www.scopus.com/inward/record.url?scp=84957818858&partnerID=8YFLogxK

UR - https://ieeexplore.ieee.org/document/7237276/

U2 - 10.1109/SAI.2015.7237276

DO - 10.1109/SAI.2015.7237276

M3 - Conference publication

AN - SCOPUS:84957818858

SN - 978-1-4799-8547-0

SP - 1077

EP - 1082

BT - Proceedings of 2015 Science and Information conference (SAI)

PB - IEEE

T2 - Science and Information conference

Y2 - 28 July 2015 through 30 July 2015

ER -

Analysis of Wiener-Hammerstein equalizer for downlink LTE system

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Keywords

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