{"title":"An efficient reformulation based architecture for adaptive forward error correction decoding in wireless applications","authors":"Y. Gang, T. Arslan, A. Erdogan","doi":"10.1109/SOCC.2004.1362387","DOIUrl":null,"url":null,"abstract":"The authors present a reformulation based architecture for threshold selection in adaptive foward error correction (FEC) decoding in wireless applications. The reformulation technique results in an efficient VLSI architecture with a significant reduction in hardware complexity. The paper describes the reformulation technique, its applications on the architecture for adaptive forward error correction (FEC) decoding algorithm and its implementations. We demonstrate that in addition to significant reduction in data path complexity, there is also a 25% to 47% storage reduction in the path metric unit (PMU).","PeriodicalId":184894,"journal":{"name":"IEEE International SOC Conference, 2004. Proceedings.","volume":"134 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International SOC Conference, 2004. Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SOCC.2004.1362387","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
The authors present a reformulation based architecture for threshold selection in adaptive foward error correction (FEC) decoding in wireless applications. The reformulation technique results in an efficient VLSI architecture with a significant reduction in hardware complexity. The paper describes the reformulation technique, its applications on the architecture for adaptive forward error correction (FEC) decoding algorithm and its implementations. We demonstrate that in addition to significant reduction in data path complexity, there is also a 25% to 47% storage reduction in the path metric unit (PMU).