Abstract
This letter presents a theoretical analysis (based on tight upper bounds on the error probability) of quantization loss with integer metrics used for convolutional decoding in the Rayleigh-fading channel. Optimum configurations with respect to the generalized cutoff rate criterion are established for 2-bit, 3-bit and 4-bit quantizers, and corresponding losses with both de facto industry-standard 1/2-rate and associated punctured 3/4-rate codes are evaluated. Assuming optimized thresholds, 4-bit metrics are shown to incur only a small quantization loss. However, results also indicate that the loss is sensitive to suboptimum threshold spacing.
Translated title of the contribution | Quantization loss for convolutional decoding in Rayleigh-fading channels |
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Original language | English |
Pages (from-to) | 446 - 448 |
Number of pages | 3 |
Journal | IEEE Communications Letters |
Volume | 7 |
Issue number | 9 |
DOIs | |
Publication status | Published - Sept 2003 |
Bibliographical note
Publisher: Institute of Electrical and Electronics Engineers, Inc. (IEEE)Rose publication type: Journal article
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Keywords
- convolutional codes
- integer metrics
- Rayleigh-fading channels
- quantization