arrow
返回

Linear interference cancellation in CDMA based on iterative techniques for linear equation systems

delete2000-01-01
delete41
PRE
AI
L
Lars K. Rasmussen
DOI:10.1109/26.891220delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
It has previously been shown that well-known iterations for solving a set of linear equations correspond to linear interference cancellation structures. Here, we suggest applying a block-wise iteration that consists of an outer and an inner iteration. The outer iteration used is the Gauss-Seidel (GS) method, while for the inner iteration, we study direct matrix inversion, the Jacobi over-relaxation iteration, and the conjugate gradient iteration. When a true inner iteration is used, this approach allows for a timely derivation of the acceleration parameters required by advanced iterations. The block iteration is based on a symbol-level implementation which leads to the same detection delay profile for both parallel and serial structures at the expense of differences in the amount of serial processing required. This is discussed in some detail and quantified for comparison. The performance of the detectors is studied via computer simulations where it is found that the block approach can provide significantly faster convergence, leading to improved detection delay over the simpler GS iteration. The improvements are obtained at the expense of an increase in the required serial processing speed.
Keyword:
code-division multiple access
interference cancellation
multiuser detection
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

IEEE Transactions on Communications 封面图
IEEE Transactions on Communications
IF:
8.3
论文数:
1.2W
被引数:
3.6W

机构

暂无机构信息
引用论文

引用论文

err分享
err收藏
err分享
err收藏
err分享
err收藏
Nucleophilic Activation by Positioning in Phosphoryl Transfer Catalyzed by Nucleoside Diphosphate Kinase,
err1999-03-25
err0
PREAI
errSuzanne J. Admiraal; Benoit Schneider; Philippe Meyer; Joël Janin; Michel Véron; Dominique Deville-Bonne; Daniel Herschlag
err分享
err收藏
学者 查看更多内容