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Low complexity MMSE based channel estimation technique for LTE OFDMA systems

Rana, Md. Masud and Kouzani, Abbas Z. 2010, Low complexity MMSE based channel estimation technique for LTE OFDMA systems, International journal of computer science and information security, vol. 8, no. 8, pp. 52-56.

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Title Low complexity MMSE based channel estimation technique for LTE OFDMA systems
Author(s) Rana, Md. Masud
Kouzani, Abbas Z.
Journal name International journal of computer science and information security
Volume number 8
Issue number 8
Start page 52
End page 56
Total pages 5
Publisher LJS Publishing
Place of publication Pittsburgh, Pa.
Publication date 2010-11
ISSN 1947-5500
Keyword(s) channel estimation
LTE
least-square
OFDMA
SC-FDMA
Summary Long term evolution (LTE) is designed for high speed data rate, higher spectral efficiency, and lower latency as well as high-capacity voice support. LTE uses single carrierfrequency division multiple access (SC-FDMA) scheme for the uplink transmission and orthogonal frequency division multiple access (OFDMA) in downlink. The one of the most important challenges for a terminal implementation are channel estimation (CE) and equalization. In this paper, a minimum mean square error (MMSE) based channel estimator is proposed for an OFDMA systems that can avoid the ill-conditioned least square (LS) problem with lower computational complexity. This channel estimation technique uses knowledge of channel properties to estimate the unknown channel transfer function at non-pilot subcarriers.
Language eng
Field of Research 090609 Signal Processing
100510 Wireless Communications
Socio Economic Objective 890103 Mobile Data Networks and Services
HERDC Research category C1 Refereed article in a scholarly journal
HERDC collection year 2010
Copyright notice ©2010, The Authors
Persistent URL http://hdl.handle.net/10536/DRO/DU:30032232

Document type: Journal Article
Collections: School of Engineering
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Created: Thu, 13 Jan 2011, 16:34:17 EST by Abbas Kouzani

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.