Optimized Asymmetric Feedback Detection for Rate-adaptive HARQ with Unreliable Feedback

Fuente: arXiv
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Autores principales: Ding, Weihang, Shikh-Bahaei, Mohammad
Formato: Preprint
Publicado: 2024
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author Ding, Weihang
Shikh-Bahaei, Mohammad
author_facet Ding, Weihang
Shikh-Bahaei, Mohammad
contents This work considers downlink incremental redundancy Hybrid Automatic Repeat Request (IR-HARQ) over unreliable feedback channels. Since the impact of positive feedback (i.e., ACK) error is smaller than that of negative feedback (i.e., NACK) error, an asymmetric feedback detection scheme is proposed to protect NACK and further reduce the outage probability. We formulate the HARQ process as a Markov Decision Process (MDP) model to adapt to the transmission rate of each transmission attempt without enriched feedback and additional feedback cost. We aim to optimize the performance of HARQ process under certain outage probability requirements by finding optimal asymmetric detection thresholds. Numerical results obtained on the downlink Rayleigh fading channel and 5G new radio (NR) PUCCH feedback channel show that by applying asymmetric feedback detection and adaptive rate allocation, higher throughput can be achieved under outage probability limitations.
format Preprint
id arxiv_https___arxiv_org_abs_2401_05902
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Optimized Asymmetric Feedback Detection for Rate-adaptive HARQ with Unreliable Feedback
Ding, Weihang
Shikh-Bahaei, Mohammad
Information Theory
This work considers downlink incremental redundancy Hybrid Automatic Repeat Request (IR-HARQ) over unreliable feedback channels. Since the impact of positive feedback (i.e., ACK) error is smaller than that of negative feedback (i.e., NACK) error, an asymmetric feedback detection scheme is proposed to protect NACK and further reduce the outage probability. We formulate the HARQ process as a Markov Decision Process (MDP) model to adapt to the transmission rate of each transmission attempt without enriched feedback and additional feedback cost. We aim to optimize the performance of HARQ process under certain outage probability requirements by finding optimal asymmetric detection thresholds. Numerical results obtained on the downlink Rayleigh fading channel and 5G new radio (NR) PUCCH feedback channel show that by applying asymmetric feedback detection and adaptive rate allocation, higher throughput can be achieved under outage probability limitations.
title Optimized Asymmetric Feedback Detection for Rate-adaptive HARQ with Unreliable Feedback
topic Information Theory
url https://arxiv.org/abs/2401.05902