Bias-based training for iterative channel estimation and data decoding in fast fading channels
Takeuchi K, Müller R, Vehkapera M (2011)
Publication Status: Published
Publication Type: Journal article, Original article
Publication year: 2011
Journal
Publisher: Institute of Electronics, Information and Communication Engineers
Pages Range: 2161-2165
Journal Issue: 7
DOI: 10.1587/transcom.E94.B.2161
Abstract
A novel signaling scheme is proposed for iterative channel estimation and data decoding in fast fading channels. The basic idea is to bias the occurrence probability of transmitted symbols. A priori information about the bias is utilized for channel estimation. The bias-based scheme is constructed as a serially concatenated code, in which a convolutional code and a biased nonlinear block code are used as the outer and inner codes, respectively. This construction allows the receiver to estimate channel state information (CSI) efficiently. The proposed scheme is numerically shown to outperform conventional pilot-based schemes in terms of spectral efficiency for moderately fast fading channels. Copyright © 2011 The Institute of Electronics, Information and Communication Engineers.
Authors with CRIS profile
Involved external institutions
University of Electro-Communications / 電気通信大学 (Denki-Tsūshin Daigaku)
Japan (JP)
NTNU Trondheim - Norwegian University of Science and Technology
Norway (NO)
Japan (JP)
NTNU Trondheim - Norwegian University of Science and Technology
Norway (NO)
How to cite
APA:
Takeuchi, K., Müller, R., & Vehkapera, M. (2011). Bias-based training for iterative channel estimation and data decoding in fast fading channels. IEICE Transactions on Communications, 7, 2161-2165. https://doi.org/10.1587/transcom.E94.B.2161
MLA:
Takeuchi, Keigo, Ralf Müller, and Mikko Vehkapera. "Bias-based training for iterative channel estimation and data decoding in fast fading channels." IEICE Transactions on Communications 7 (2011): 2161-2165.
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