Subcode-Based Early HARQ for 5G

Goektepe, Baris; Faehse, Stephan; Thiele, Lars; Schierl, Thomas; Hellge, Cornelius

doi:10.1109/iccw.2018.8403491

Cited by 25 publications

(35 citation statements)

References 8 publications

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“…This early feedback is enabled by exploiting substructures of the channel code. As shown in [26], subcodebased early HARQ achieves a reliability comparable to regular HARQ while decreasing the HARQ RTT.…”

Section: From Lte To New Radio (Nr)mentioning

confidence: 86%

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URLLC Services in 5G Low Latency Enhancements for LTE

Fehrenbach

Datta

Göktepe

et al. 2018

2018 IEEE 88th Vehicular Technology Conference (VTC-Fall)

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5G is envisioned to support three broad categories of services: eMBB, URLLC, and mMTC. URLLC services refer to future applications which require reliable data communications from one end to another, while fulfilling ultra-low latency constraints. In this paper, we highlight the requirements and mechanisms that are necessary for URLLC in LTE. Design challenges faced when reducing the latency in LTE are shown. The performance of short processing time and frame structure enhancements are analyzed. Our proposed DCI Duplication method to increase LTE control channel reliability is presented and evaluated. The feasibility of achieving low latency and high reliability for the IMT-2020 submission of LTE is shown. We further anticipate the opportunities and technical design challenges when evolving 3GPP's LTE and designing the new 5G NR standard to meet the requirements of novel URLLC services.

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Section: From Lte To New Radio (Nr)mentioning

confidence: 86%

“…Although, HARQ timing is designed flexibly in NR [24], the main issue of HARQ RTT is still an open topic. To cope with this limitation, the authors of [26] have proposed an early HARQ feedback technique, which enables to start processing during reception. Hence, the receiver can provide the feedback at an earlier stage.…”

Section: From Lte To New Radio (Nr)mentioning

confidence: 99%

URLLC Services in 5G Low Latency Enhancements for LTE

Fehrenbach

Datta

Göktepe

et al. 2018

2018 IEEE 88th Vehicular Technology Conference (VTC-Fall)

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“…Hence, VNR 0 corresponds tô BER. In [9], the authors used a hard threshold applied VNR 5 to predict decodability. In the following we use the abbreviations VNR n and LLR n to denote the VNRs/LLRs extracted from the nth decoder iteration.…”

Section: A Input Featuresmentioning

confidence: 99%

“…Here one has to keep in mind that the latter information is only available if the correct codeword is known to the receiver as for example from a previous pilot transmission but strictly speaking it cannot be reliably obtained from an ordinary previous transmission as even a correct CRC does not imply a correctly decoded transmission. For a given set of history features we consider means of the history features under consideration extracted from different numbers of past transmissions (1,2,5,9) in order to allow the classifier to extract information from past channel realizations at different time scales.…”

Section: A Input Featuresmentioning

confidence: 99%

Enhanced Machine Learning Techniques for Early HARQ Feedback Prediction in 5G

Strodthoff

Göktepe

Schierl

et al. 2019

IEEE J. Select. Areas Commun.

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We investigate Early Hybrid Automatic Repeat reQuest (E-HARQ) feedback schemes enhanced by Machine Learning techniques as possible path towards ultra-reliable and low-latency communication (URLLC). To this end we propose Machine Learning methods to predict the outcome of the decoding process ahead of the end of the transmission. We discuss different input features and classification algorithms ranging from traditional methods to newly developed supervised autoencoders and their prospects of reaching effective block error rates of 10 −5 that are required for URLLC with only small latency overhead. We provide realistic performance estimates in a system model incorporating scheduling effects to demonstrate the feasibility of E-HARQ across different signal-to-noise ratios, subcode lengths, channel conditions and system loads.

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“…With that in mind, E-HARQ was designed to improve the performance of the system while still meeting latency requirements. E-HARQ has been studied by several works [10], [11], [12], [13]. The effect of incorrect predictions in the system performance under two different operating modes is analyzed in [10] while in [11] the authors focus on designing a predictor to estimate the block error rate from likelihood ratios, instead of waiting for the turbo decoder to operate and study the statistics of false positives in using their predictor from a coding and modulation perspective.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Early-HARQ for Finite Block-Length Packet Transmission

Nadas

Klaine

Zhang

et al. 2019

2019 IEEE International Conference on Industrial Cyber Physical Systems (ICPS)

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Traditional retransmission protocols require the receiver to decode the entire packet before sending feedback signals, which may not be a viable solution for ultra-reliable and lowlatency communications (URLLC) as it may cause a significant delay. To address this issue, early hybrid automatic repeat request (E-HARQ) has been proposed as an alternative to reduce the processing time at the receiver and send the feedback signal as quickly as possible. In this work, we present a framework for analyzing the performance of ARQ protocols considering URLLC requirements for finite block-length packet transmission and use it to evaluate the performance of E-HARQ from an information theory perspective, comparing it to simple ARQ. The results show that this new class of retransmission protocols can significantly improve the performance of URLLC systems.

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Subcode-Based Early HARQ for 5G

Cited by 25 publications

References 8 publications

URLLC Services in 5G Low Latency Enhancements for LTE

URLLC Services in 5G Low Latency Enhancements for LTE

Enhanced Machine Learning Techniques for Early HARQ Feedback Prediction in 5G

Performance Analysis of Early-HARQ for Finite Block-Length Packet Transmission

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