{"title":"Optimal sparse CDMA detection at high load","authors":"Jack Raymond","doi":"10.1109/WIOPT.2009.5291597","DOIUrl":null,"url":null,"abstract":"Balancing efficiency of bandwidth use and complexity of detection involves choosing a suitable load for a multi-access channel. In the case of synchronous CDMA, with random codes, it is possible to demonstrate the existence of a threshold in the load beyond which there is an apparent jump in computational complexity. At small load unit clause propagation can determine a jointly optimal detection of sources on a noiseless channel, but fails at high load. Analysis provides insight into the difference between the standard dense random codes and sparse codes, and the limitations of optimal detection in the sparse case.","PeriodicalId":143632,"journal":{"name":"2009 7th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks","volume":"17 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 7th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WIOPT.2009.5291597","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

Balancing efficiency of bandwidth use and complexity of detection involves choosing a suitable load for a multi-access channel. In the case of synchronous CDMA, with random codes, it is possible to demonstrate the existence of a threshold in the load beyond which there is an apparent jump in computational complexity. At small load unit clause propagation can determine a jointly optimal detection of sources on a noiseless channel, but fails at high load. Analysis provides insight into the difference between the standard dense random codes and sparse codes, and the limitations of optimal detection in the sparse case.
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高负载下最优稀疏CDMA检测
平衡带宽使用效率和检测复杂性涉及到为多址信道选择合适的负载。在使用随机码的同步CDMA的情况下,可以证明在负载中存在一个阈值,超过该阈值,计算复杂性就会有明显的跳跃。在小负载时,子句传播可以在无噪声信道上确定联合最优源检测,但在高负载时则失效。分析可以深入了解标准密集随机码和稀疏码之间的区别,以及稀疏情况下最优检测的局限性。
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