{"title":"Identification Over Permutation Channels","authors":"Abhishek Sarkar;Bikash Kumar Dey","doi":"10.1109/TIT.2025.3582862","DOIUrl":null,"url":null,"abstract":"We study message identification over a noiseless <italic>q</i>-ary uniform permutation channel, where the transmitted vector is permuted by a permutation chosen uniformly at random. The channel is noiseless in the sense that the channel only rearranges the symbols in a different order, without changing the symbol values. For discrete memoryless channels (DMCs), the number of identifiable messages grows doubly exponentially. Identification capacity, the maximum second-order exponent, is known to be the same as the Shannon capacity of the DMC. Permutation channels support reliable communication of only polynomially many messages. A simple achievability result shows that message sizes growing as <inline-formula> <tex-math>$2^{\\epsilon _{n}n^{q-1}}$ </tex-math></inline-formula> are identifiable for any <inline-formula> <tex-math>$\\epsilon _{n}\\rightarrow 0$ </tex-math></inline-formula>. We prove two converse results. A “soft” converse shows that for any <inline-formula> <tex-math>$R\\gt 0$ </tex-math></inline-formula>, there is no sequence of identification codes with message size growing as <inline-formula> <tex-math>$2^{Rn^{q-1}}$ </tex-math></inline-formula> with a power-law decay (<inline-formula> <tex-math>$n^{-\\mu }$ </tex-math></inline-formula>) of the error probability. We also prove a “strong” converse showing that for any sequence of identification codes with message size <inline-formula> <tex-math>$2^{R_{n} n^{q-1}}$ </tex-math></inline-formula>, where <inline-formula> <tex-math>$R_{n} \\rightarrow \\infty $ </tex-math></inline-formula>, the sum of Type I and Type II error probabilities approaches at least 1 as <inline-formula> <tex-math>$n\\rightarrow \\infty $ </tex-math></inline-formula>. To prove the soft converse, we use a sequence of steps to construct a new identification code with a simpler structure which relates to a set system, and then use a lower bound on the normalized maximum pairwise intersection of a set system. To prove the strong converse, we use results on approximation of distributions. The achievability and converse results are generalized to the case of coding over multiple blocks. We also show that under deterministic encoding, the number of messages that can be identified per block is the number of types, i.e., <inline-formula> <tex-math>$\\binom {n+q-1}{q-1}$ </tex-math></inline-formula>, and this is same as the message size for reliable communication. We finally study message identification over a <italic>q</i>-ary uniform permutation channel in the presence of causal block-wise feedback from the receiver, where the encoder receives an entire <italic>n</i>-length received block after the transmission of the block is complete. We show that in the presence of feedback, the maximum number of identifiable messages grows doubly exponentially even under deterministic encoding, and we present a two-phase achievability scheme.","PeriodicalId":13494,"journal":{"name":"IEEE Transactions on Information Theory","volume":"71 9","pages":"6668-6691"},"PeriodicalIF":2.9000,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Information Theory","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/11049815/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
We study message identification over a noiseless q-ary uniform permutation channel, where the transmitted vector is permuted by a permutation chosen uniformly at random. The channel is noiseless in the sense that the channel only rearranges the symbols in a different order, without changing the symbol values. For discrete memoryless channels (DMCs), the number of identifiable messages grows doubly exponentially. Identification capacity, the maximum second-order exponent, is known to be the same as the Shannon capacity of the DMC. Permutation channels support reliable communication of only polynomially many messages. A simple achievability result shows that message sizes growing as $2^{\epsilon _{n}n^{q-1}}$ are identifiable for any $\epsilon _{n}\rightarrow 0$ . We prove two converse results. A “soft” converse shows that for any $R\gt 0$ , there is no sequence of identification codes with message size growing as $2^{Rn^{q-1}}$ with a power-law decay ($n^{-\mu }$ ) of the error probability. We also prove a “strong” converse showing that for any sequence of identification codes with message size $2^{R_{n} n^{q-1}}$ , where $R_{n} \rightarrow \infty $ , the sum of Type I and Type II error probabilities approaches at least 1 as $n\rightarrow \infty $ . To prove the soft converse, we use a sequence of steps to construct a new identification code with a simpler structure which relates to a set system, and then use a lower bound on the normalized maximum pairwise intersection of a set system. To prove the strong converse, we use results on approximation of distributions. The achievability and converse results are generalized to the case of coding over multiple blocks. We also show that under deterministic encoding, the number of messages that can be identified per block is the number of types, i.e., $\binom {n+q-1}{q-1}$ , and this is same as the message size for reliable communication. We finally study message identification over a q-ary uniform permutation channel in the presence of causal block-wise feedback from the receiver, where the encoder receives an entire n-length received block after the transmission of the block is complete. We show that in the presence of feedback, the maximum number of identifiable messages grows doubly exponentially even under deterministic encoding, and we present a two-phase achievability scheme.
期刊介绍:
The IEEE Transactions on Information Theory is a journal that publishes theoretical and experimental papers concerned with the transmission, processing, and utilization of information. The boundaries of acceptable subject matter are intentionally not sharply delimited. Rather, it is hoped that as the focus of research activity changes, a flexible policy will permit this Transactions to follow suit. Current appropriate topics are best reflected by recent Tables of Contents; they are summarized in the titles of editorial areas that appear on the inside front cover.