Learning-Based Rich Feedback HARQ for Energy-Efficient Uplink Short Packet Transmission

The trade-off between reliability, latency, and energy efficiency is a central problem in communication systems. Advanced hybrid automated repeat request (HARQ) techniques reduce retransmissions required for reliable communication but incur high computational costs. Strict energy constraints apply mainly to devices, while the access point receiving their packets is usually connected to the electrical grid. Therefore, moving the computational complexity from the transmitter to the receiver may provide a way to improve this trade-off. We propose the reinforcement-based adaptive feedback (RAF) scheme, a departure from traditional single-bit feedback HARQ, introducing adaptive rich feedback where the receiver requests the coded retransmission of specific symbols. Simulation results show that RAF achieves a better trade-off between energy efficiency, reliability, and latency, compared to existing HARQ solutions. Our RAF scheme can easily adapt to different modulation schemes and can also generalize to different channel statistics.

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Published
2025-05-26
DOI
https://doi.org/10.1109/icmlcn64995.2025.11140174
Citations
1
Primary Topic
Energy Harvesting in Wireless Networks
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article
Field-Weighted Citation Impact
0.73
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article

Learning-Based Rich Feedback HARQ for Energy-Efficient Uplink Short Packet Transmission

Gianluigi Liva, Federico Chiariotti, Petar Popovski, Deniz Gündüz et al.
1 citations
Energy Harvesting in Wireless Networks
0.73
article

Learning-Based Rich Feedback HARQ for Energy-Efficient Uplink Short Packet Transmission

Gianluigi Liva, Federico Chiariotti, Petar Popovski, Deniz Gündüz, Anders E. Kalør, Martin Voigt Vejling
article en
1 citations

Abstract

The trade-off between reliability, latency, and energy efficiency is a central problem in communication systems. Advanced hybrid automated repeat request (HARQ) techniques reduce retransmissions required for reliable communication but incur high computational costs. Strict energy constraints apply mainly to devices, while the access point receiving their packets is usually connected to the electrical grid. Therefore, moving the computational complexity from the transmitter to the receiver may provide a way to improve this trade-off. We propose the reinforcement-based adaptive feedback (RAF) scheme, a departure from traditional single-bit feedback HARQ, introducing adaptive rich feedback where the receiver requests the coded retransmission of specific symbols. Simulation results show that RAF achieves a better trade-off between energy efficiency, reliability, and latency, compared to existing HARQ solutions. Our RAF scheme can easily adapt to different modulation schemes and can also generalize to different channel statistics.

University of Padua (IT), Keio University (JP), Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) (DE), Imperial College London (GB), Aalborg University (DK)
Openalex Percentile: Top 24%
Energy Harvesting in Wireless Networks
0.73
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Learning-Based Rich Feedback HARQ for Energy-Efficient Uplink Short Packet Transmission — Gianluigi Liva, Federico Chiariotti, et al. · (2025) | TGRS Research Map | TGRS