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

Gangarajaiah, Rakesh LU ; Nilsson, Peter LU ; Edfors, Ove LU and Liu, Liang LU (2015) IEEE 25th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2014 In 2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC)
Abstract
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... (More)
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. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC)
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
IEEE 25th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2014
external identifiers
  • Scopus:84944317368
DOI
10.1109/PIMRC.2014.7136209
project
EIT_DARE Digitally-Assisted Radio Evolution
language
English
LU publication?
yes
id
ac870044-57f1-4f5a-bbc0-2f839f99ea61 (old id 4469005)
date added to LUP
2014-07-24 11:12:16
date last changed
2017-01-08 06:02:19
@inproceedings{ac870044-57f1-4f5a-bbc0-2f839f99ea61,
  abstract     = {This paper presents a link adaptive processor to<br/><br>
perform low-complexity channel estimation and QR decomposition<br/><br>
(QRD) in Long Term Evolution-Advanced (LTE-A) receivers.<br/><br>
The processor utilizes frequency domain correlation of the propagation<br/><br>
channel to adaptively avoid unnecessary computations in<br/><br>
the received signal processing, achieving significant complexity<br/><br>
reduction with negligible performance loss. More specifically, a<br/><br>
windowed Discrete Fourier transform (DFT) algorithm is used to<br/><br>
detect channel conditions and to compute a minimum number of<br/><br>
sparse subcarrier channel estimates required for low complexity<br/><br>
linear QRD interpolation. Furthermore, the sparsity of subcarrier<br/><br>
channel estimates can be adaptively changed to handle different<br/><br>
channel conditions. Simulation results demonstrate a reduction<br/><br>
of 40%-80% in computational complexity for different channel<br/><br>
models specified in the LTE-A standard.},
  author       = {Gangarajaiah, Rakesh and Nilsson, Peter and Edfors, Ove and Liu, Liang},
  booktitle    = {2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC)},
  language     = {eng},
  month        = {06},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {Low Complexity Adaptive Channel Estimation and QR Decomposition for an LTE-A Downlink},
  url          = {http://dx.doi.org/10.1109/PIMRC.2014.7136209},
  year         = {2015},
}