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Main Authors: Wang, Wenyu, Zhu, Minhao, Shen, Kaiming, Wang, Zhaorui, Cui, Shuguang
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2409.09780
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author Wang, Wenyu
Zhu, Minhao
Shen, Kaiming
Wang, Zhaorui
Cui, Shuguang
author_facet Wang, Wenyu
Zhu, Minhao
Shen, Kaiming
Wang, Zhaorui
Cui, Shuguang
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2409_09780
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Power Allocation for Finite-Blocklength IR-HARQ
Wang, Wenyu
Zhu, Minhao
Shen, Kaiming
Wang, Zhaorui
Cui, Shuguang
Information Theory
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.
title Power Allocation for Finite-Blocklength IR-HARQ
topic Information Theory
url https://arxiv.org/abs/2409.09780