
This paper presents how to control the input bit-width of a turbo decoder according to the signal-to-noise ratio (SNR) adaptively. It is crucial to minimize the input bit-width while maintaining the error-correcting performance. Several quantization schemes have been presented to properly decide the input resolution of turbo decoding, but they all assume a fixed bit-width irrespective of the SNR. This paper proposes a new method to adaptively change the quantization bit-width with respect to the SNR. In addition, this paper suggests a novel method to estimate the frame-error rate (FER) performance of a turbo decoder dealing with quantized channel outputs. As a result, the whole SNR range is divided into a number of regions each of which can be processed with a certain quantization bit-width.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
