Wenyu Wang, Minhao Zhu, Kaiming Shen, Zhaorui Wang, Shuguang Cui
{"title":"有限块长 IR-HARQ 的功率分配","authors":"Wenyu Wang, Minhao Zhu, Kaiming Shen, Zhaorui Wang, Shuguang Cui","doi":"arxiv-2409.09780","DOIUrl":null,"url":null,"abstract":"This letter concerns the power allocation across the multiple transmission\nrounds under the Incremental Redundancy Hybrid Automatic Repeat reQuest\n(IR-HARQ) policy, in pursuit of an energy-efficient way of fulfilling the\noutage probability target in the finite-blocklength regime. We start by showing\nthat the optimization objective and the constraints of the above power\nallocation problem all depend upon the outage probability. The main challenge\nthen lies in the fact that the outage probability cannot be written\nanalytically in terms of the power variables. To sidestep this difficulty, we\npropose a novel upper bound on the outage probability in the finite-blocklength\nregime, which is much tighter than the existing ones from the literature. Most\nimportantly, by using this upper bound to approximate the outage probability,\nwe can recast the original intractable power allocation problem into a\ngeometric programming (GP) form--which can be efficiently solved by the\nstandard method.","PeriodicalId":501082,"journal":{"name":"arXiv - MATH - Information Theory","volume":"50 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Power Allocation for Finite-Blocklength IR-HARQ\",\"authors\":\"Wenyu Wang, Minhao Zhu, Kaiming Shen, Zhaorui Wang, Shuguang Cui\",\"doi\":\"arxiv-2409.09780\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This letter concerns the power allocation across the multiple transmission\\nrounds under the Incremental Redundancy Hybrid Automatic Repeat reQuest\\n(IR-HARQ) policy, in pursuit of an energy-efficient way of fulfilling the\\noutage probability target in the finite-blocklength regime. We start by showing\\nthat the optimization objective and the constraints of the above power\\nallocation problem all depend upon the outage probability. The main challenge\\nthen lies in the fact that the outage probability cannot be written\\nanalytically in terms of the power variables. To sidestep this difficulty, we\\npropose a novel upper bound on the outage probability in the finite-blocklength\\nregime, which is much tighter than the existing ones from the literature. Most\\nimportantly, by using this upper bound to approximate the outage probability,\\nwe can recast the original intractable power allocation problem into a\\ngeometric programming (GP) form--which can be efficiently solved by the\\nstandard method.\",\"PeriodicalId\":501082,\"journal\":{\"name\":\"arXiv - MATH - Information Theory\",\"volume\":\"50 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - MATH - Information Theory\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2409.09780\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - MATH - Information Theory","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.09780","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.