Low Complexity Adaptive Channel Estimation and QR Decomposition for an LTE-A Downlink

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding


This paper presents a link adaptive processor to
perform low-complexity channel estimation and QR decomposition
(QRD) in Long Term Evolution-Advanced (LTE-A) receivers.
The processor utilizes frequency domain correlation of the propagation
channel to adaptively avoid unnecessary computations in
the received signal processing, achieving significant complexity
reduction with negligible performance loss. More specifically, a
windowed Discrete Fourier transform (DFT) algorithm is used to
detect channel conditions and to compute a minimum number of
sparse subcarrier channel estimates required for low complexity
linear QRD interpolation. Furthermore, the sparsity of subcarrier
channel estimates can be adaptively changed to handle different
channel conditions. Simulation results demonstrate a reduction
of 40%-80% in computational complexity for different channel
models specified in the LTE-A standard.


Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Electrical Engineering, Electronic Engineering, Information Engineering
Original languageEnglish
Title of host publication2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC)
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)978-1-4799-4912-0
Publication statusPublished - 2015 Jun 29
Publication categoryResearch
EventIEEE 25th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2014 - Washington DC, United States
Duration: 2014 Sep 22014 Sep 5


ConferenceIEEE 25th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2014
CountryUnited States
CityWashington DC

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