Mengyuan Zhao, Maël Le Treust, Tobias J. Oechtering
{"title":"Causal Vector-valued Witsenhausen Counterexamples with Feedback","authors":"Mengyuan Zhao, Maël Le Treust, Tobias J. Oechtering","doi":"arxiv-2408.03037","DOIUrl":null,"url":null,"abstract":"We study the continuous vector-valued Witsenhausen counterexample through the\nlens of empirical coordination coding. We characterize the region of achievable\npairs of costs in three scenarios: (i) causal encoding and causal decoding,\n(ii) causal encoding and causal decoding with channel feedback, and (iii)\ncausal encoding and noncausal decoding with channel feedback. In these\nvector-valued versions of the problem, the optimal coding schemes must rely on\na time-sharing strategy, since the region of achievable pairs of costs might\nnot be convex in the scalar version of the problem. We examine the role of the\nchannel feedback when the encoder is causal and the decoder is either causal or\nnon-causal, and we show that feedback improves the performance, only when the\ndecoder is non-causal.","PeriodicalId":501082,"journal":{"name":"arXiv - MATH - Information Theory","volume":"72 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-06","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-2408.03037","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
We study the continuous vector-valued Witsenhausen counterexample through the
lens of empirical coordination coding. We characterize the region of achievable
pairs of costs in three scenarios: (i) causal encoding and causal decoding,
(ii) causal encoding and causal decoding with channel feedback, and (iii)
causal encoding and noncausal decoding with channel feedback. In these
vector-valued versions of the problem, the optimal coding schemes must rely on
a time-sharing strategy, since the region of achievable pairs of costs might
not be convex in the scalar version of the problem. We examine the role of the
channel feedback when the encoder is causal and the decoder is either causal or
non-causal, and we show that feedback improves the performance, only when the
decoder is non-causal.