Power Allocation for Finite-Blocklength IR-HARQ

This letter concerns the power allocation across the multiple transmission rounds under the Incremental Redundancy Hybrid Automatic Repeat reQuest (IR-HARQ) policy, in pursuit of an energy-efficient way of fulfilling the outage probability target in the finite-blocklength regime. We start by showing that the optimization objective and the constraints of the above power allocation problem all depend upon the outage probability. The main challenge then lies in the fact that the outage probability cannot be written analytically in terms of the power variables. To sidestep this difficulty, we propose a novel upper bound on the outage probability in the finite-blocklength regime, which is much tighter than the existing ones from the literature. Most importantly, by using this upper bound to approximate the outage probability, we can recast the original intractable power allocation problem into a geometric programming (GP) form—which can be efficiently solved by the standard method.

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Publication Details

Journal
IEEE Communications Letters
Published
2024-09-17
DOI
https://doi.org/10.1109/lcomm.2024.3462828
Citations
1
Primary Topic
Semiconductor Lasers and Optical Devices
Type
article
Field-Weighted Citation Impact
0.21

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article

Power Allocation for Finite-Blocklength IR-HARQ

Shuguang Cui, Kaiming Shen, Minhao Zhu, Wenyu Wang et al.
1 citations
IEEE Communications Letters
Semiconductor Lasers and Optical Devices
0.21
article

Power Allocation for Finite-Blocklength IR-HARQ

Shuguang Cui, Kaiming Shen, Minhao Zhu, Wenyu Wang, Zhaorui Wang
article en
1 citations

Abstract

This letter concerns the power allocation across the multiple transmission rounds under the Incremental Redundancy Hybrid Automatic Repeat reQuest (IR-HARQ) policy, in pursuit of an energy-efficient way of fulfilling the outage probability target in the finite-blocklength regime. We start by showing that the optimization objective and the constraints of the above power allocation problem all depend upon the outage probability. The main challenge then lies in the fact that the outage probability cannot be written analytically in terms of the power variables. To sidestep this difficulty, we propose a novel upper bound on the outage probability in the finite-blocklength regime, which is much tighter than the existing ones from the literature. Most importantly, by using this upper bound to approximate the outage probability, we can recast the original intractable power allocation problem into a geometric programming (GP) form—which can be efficiently solved by the standard method.

IEEE Communications LettersVol. 28(11)
Chinese University of Hong Kong, Shenzhen (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 48%
Semiconductor Lasers and Optical Devices
0.21
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