{"title":"Dependence Balance and the Gaussian Multiaccess Channel with Feedback","authors":"G. Kramer, M. Gastpar","doi":"10.1109/ITW.2006.1633810","DOIUrl":null,"url":null,"abstract":"Dependence balance bounds of Hekstra and Willems are generalized and refined. The new bounds are applied to the K-user multiaccess channel (MAC) with output feedback, and they are shown to establish the feedback sum-rate capacity for the Gaussian MAC when all users have the same per-symbol power constraints. The sum-rate capacity is achieved by Fourier modulated estimate correction. The feedback sum-rate capacity is shown to improve the no-feedback capacity by only log log K nats per use for large K. The new bounds also improve on cut-set bounds for asymmetric powers and rates.","PeriodicalId":293144,"journal":{"name":"2006 IEEE Information Theory Workshop - ITW '06 Punta del Este","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"26","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE Information Theory Workshop - ITW '06 Punta del Este","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITW.2006.1633810","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 26
Abstract
Dependence balance bounds of Hekstra and Willems are generalized and refined. The new bounds are applied to the K-user multiaccess channel (MAC) with output feedback, and they are shown to establish the feedback sum-rate capacity for the Gaussian MAC when all users have the same per-symbol power constraints. The sum-rate capacity is achieved by Fourier modulated estimate correction. The feedback sum-rate capacity is shown to improve the no-feedback capacity by only log log K nats per use for large K. The new bounds also improve on cut-set bounds for asymmetric powers and rates.
对Hekstra和Willems的依赖平衡界进行了推广和改进。将新边界应用于具有输出反馈的k用户多址信道(MAC),并显示当所有用户具有相同的每个符号功率约束时,它们可以建立高斯MAC的反馈和速率容量。和速率容量通过傅里叶调制估计校正来实现。对于大K,每次使用反馈和速率容量仅提高log log K nats,新界限也改进了非对称功率和速率的割集界限。