{"title":"Distributed signal cancelation inspired by Witsenhausen's counterexample","authors":"P. Grover, A. Sahai","doi":"10.1109/ISIT.2010.5513262","DOIUrl":null,"url":null,"abstract":"We consider the problem of two-stage signal cancelation based on noisy observations. This problem turns out to be an extension of the Witsenhausen counterexample — a famous open problem in distributed control. Cost is imposed on the power expended by the first controller, and the residual signal after the actions of the two controllers. Along the lines of a recent approximate solution to the Witsenhausen counterexample, we provide an approximate solution to this distributed signal cancelation problem to within a constant factor. This approximation holds uniformly over all problem parameters and for all vector lengths.","PeriodicalId":147055,"journal":{"name":"2010 IEEE International Symposium on Information Theory","volume":"18 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE International Symposium on Information Theory","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIT.2010.5513262","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
We consider the problem of two-stage signal cancelation based on noisy observations. This problem turns out to be an extension of the Witsenhausen counterexample — a famous open problem in distributed control. Cost is imposed on the power expended by the first controller, and the residual signal after the actions of the two controllers. Along the lines of a recent approximate solution to the Witsenhausen counterexample, we provide an approximate solution to this distributed signal cancelation problem to within a constant factor. This approximation holds uniformly over all problem parameters and for all vector lengths.