{"title":"An Extension to Source-Channel Coding of Correlated Gaussian Sources for a Fading GMAC Using TCVQ","authors":"P. Yahampath","doi":"10.1109/cwit55308.2022.9817670","DOIUrl":null,"url":null,"abstract":"Separate source-channel (SSC) coding is known to be sub-optimal for communicating correlated Gaussian sources over fading Gaussian multiple-access channel (GMAC). Consid-ering the two-to-one GMAC with Rayleigh block fading and no transmitter-side channel-state information (CSI), a recent work demonstrated a simple fixed-rate joint source-channel (JSC) coding scheme referred to as source-channel trellis coded vector quantization (SC- TCVQ). This paper presents a new extension to SC- TCVQ which is shown to further improve performance with only a minor increase in encoder complexity. New results are presented which show that this finite block-length JSC coding scheme can beat the asymptotic performance upper bound of SSC coding.","PeriodicalId":401562,"journal":{"name":"2022 17th Canadian Workshop on Information Theory (CWIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 17th Canadian Workshop on Information Theory (CWIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/cwit55308.2022.9817670","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
Separate source-channel (SSC) coding is known to be sub-optimal for communicating correlated Gaussian sources over fading Gaussian multiple-access channel (GMAC). Consid-ering the two-to-one GMAC with Rayleigh block fading and no transmitter-side channel-state information (CSI), a recent work demonstrated a simple fixed-rate joint source-channel (JSC) coding scheme referred to as source-channel trellis coded vector quantization (SC- TCVQ). This paper presents a new extension to SC- TCVQ which is shown to further improve performance with only a minor increase in encoder complexity. New results are presented which show that this finite block-length JSC coding scheme can beat the asymptotic performance upper bound of SSC coding.