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Performance Bounds on Turbo Coded Hybrid ARQ

Authors: Tao Shi; Lei Cao;

Performance Bounds on Turbo Coded Hybrid ARQ

Abstract

In this paper, based on the transfer function bounding techniques for turbo codes, we propose performance bounds on turbo coded hybrid automatic repeat request (TC-HARQ) under additive white Gaussian noise (AWGN) channel. The bounds for both Type-I TC-HARQ and segment selective repeat (SSR)-based TC-HARQ are developed in terms of bit error rate (BER), frame error rate (FER), and throughput. The performance predicted by these bounds are compared with simulation results and show close match in high signal to noise ratio (SNR) regions. The proposed bounds therefore provide good estimates on the error correction performance of TC-HARQ in high SNR regions where simulations are difficult to obtain reasonable results.

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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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