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Improving SC-FDMA Performance by Time Domain Equalization for UTRA LTE Uplink

Peiker-Feil, Eva and Schneckenburger, Nicolas and Teich, Werner and Lindner, Jürgen (2010) Improving SC-FDMA Performance by Time Domain Equalization for UTRA LTE Uplink. In: Proceedings. OFDM Workshop, 1-2.9.2010, Hamburg.



Single carrier frequency division multiple access (SC-FDMA) is used in the uplink of the next generation mobile communications standard Long Term Evolution (LTE). Based on a complete system simulation including channel coding and automatic repeat request, we compare a minimum-mean-square error block linear equalizer with an iterative equalization in time domain using a recurrent neural network structure. Iterative equalization in time domain shows a clear performance improvement with respect to the total throughput of the system. Using the concept of turbo equalization leads to further improvements of the throughput for a wide range of signal-to-noise ratios.

Item URL in elib:https://elib.dlr.de/64850/
Document Type:Conference or Workshop Item (Paper)
Title:Improving SC-FDMA Performance by Time Domain Equalization for UTRA LTE Uplink
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Peiker-Feil, EvaUniversität UlmUNSPECIFIED
Teich, WernerUniversität UlmUNSPECIFIED
Lindner, JürgenUniversität UlmUNSPECIFIED
Date:September 2010
Journal or Publication Title:Proceedings
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Keywords:LTE, SC-FDMA, iterative equalization
Event Title:OFDM Workshop
Event Location:Hamburg
Event Type:international Conference
Event Dates:1-2.9.2010
Organizer:Hamburg University of Technology
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:other
HGF - Program Themes:other
DLR - Research area:Aeronautics
DLR - Program:L - no assignment
DLR - Research theme (Project):L - no assignment (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Communication and Navigation > Communications Systems
Deposited By: Schneckenburger, Nicolas
Deposited On:20 Apr 2011 10:07
Last Modified:31 Jul 2019 19:28

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