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
Link To Document :
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