{"title":"A complexity cost function for the signal processing in a WCDMA base station for dimensioning of a software defined radio","authors":"P. Burns, M. Reed","doi":"10.1109/ISSSTA.2004.1371822","DOIUrl":null,"url":null,"abstract":"The paper determines a cost function for a network of wideband code division multiple access (WCDMA) frequency division duplex (FDD) base transceiver stations (BTS) for the purpose of dimensioning a software defined radio (SDR) implementation. An SDR architecture is proposed and the cost function is expressed in terms of cell diameter and signal processing load. The cost function is developed in terms of a large number of system parameters. Based on certain assumptions, a cell diameter is determined which minimizes the cost function and therefore provides the minimal computational complexity SDR.","PeriodicalId":340769,"journal":{"name":"Eighth IEEE International Symposium on Spread Spectrum Techniques and Applications - Programme and Book of Abstracts (IEEE Cat. No.04TH8738)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Eighth IEEE International Symposium on Spread Spectrum Techniques and Applications - Programme and Book of Abstracts (IEEE Cat. No.04TH8738)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSSTA.2004.1371822","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
The paper determines a cost function for a network of wideband code division multiple access (WCDMA) frequency division duplex (FDD) base transceiver stations (BTS) for the purpose of dimensioning a software defined radio (SDR) implementation. An SDR architecture is proposed and the cost function is expressed in terms of cell diameter and signal processing load. The cost function is developed in terms of a large number of system parameters. Based on certain assumptions, a cell diameter is determined which minimizes the cost function and therefore provides the minimal computational complexity SDR.