DocumentCode
1756729
Title
Comments on “Soft Decision Metric Generation for QAM With Channel Estimation Error”
Author
Jalloul, Louay M. A. ; Alex, Sam P. ; Mansour, Mohamed M.
Author_Institution
Broadcom, Sunnyvale, CA, USA
Volume
62
Issue
11
fYear
2014
fDate
Nov. 2014
Firstpage
4162
Lastpage
4163
Abstract
A log-max generalized bit log-likelihood ratio (GLLR) was derived in an earlier work of Wang et al. for soft decision decoding of quadrature amplitude modulation that takes into account channel estimation error. The results in the above paper show that the GLLR metric outperforms the conventional LLR metric that does not account for channel estimation error. In trying to reproduce the results of the above paper, our simulations indicate that their results were obtained without proper scaling of the transmit constellation. Conversely, through simulations, we demonstrate that by properly scaling the constellation to have unity average energy, the GLLR metric does not result in a noticeable advantage in the bit error rate over the conventional LLR metric for practically meaningful values of the channel estimation error.
Keywords
channel estimation; decoding; error statistics; log normal distribution; quadrature amplitude modulation; GLLR metric; QAM; bit error rate; channel estimation error; log-max generalized bit log-likelihood ratio; quadrature amplitude modulation; soft decision decoding; soft decision metric generation; unity average energy; Bit error rate; Channel estimation; Gain; Measurement; Quadrature amplitude modulation; Signal to noise ratio; Thermal noise; Generalized log likelihood; QAM; soft decision metric;
fLanguage
English
Journal_Title
Communications, IEEE Transactions on
Publisher
ieee
ISSN
0090-6778
Type
jour
DOI
10.1109/TCOMM.2014.2360911
Filename
6913539
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