Paper Info
Title
Asymptotic analysis of iterative channel estimation and multiuser detection with soft feedback in multipath channels
Abstract
Large system analysis of a randomly spread direct-sequence code-division multiple-access system in a frequency-selective chan- nel is considered. The receiver uses iterative channel estimation and multiuser detection (MUD) with soft feedback from single-user decoders to refine both the decisions of the linear minimum mean square error (LMMSE) MUD, and the initial pilot-based estimates of the LMMSE channel estimator. Replica method, a tool from statistical physics, and density evolution with Gaussian approxima- tion are used to obtain the asymptotic performance of the LMMSE MUD with soft parallel interference cancellation. The results indi- cate that as the channel coherence time grows, the performance of corresponding single-user system having perfect channel state in- formation can be approached even in an overloaded multiuser sys- tem using channel estimation and vanishing pilot overhead.
Year
Venue
Keywords
2008
EUSIPCO
gaussian processes,channel estimation,code division multiple access,interference suppression,iterative methods,multipath channels,radiofrequency interference,spread spectrum communication,gaussian approximation,asymptotic analysis,frequency-selective channel,interference cancellation,iterative channel estimation,large system analysis,linear minimum mean square error,multiuser detection,single-user decoders,soft feedback,spread direct-sequence code-division multiple-access system,vanishing pilot overhead
Field
DocType
ISSN
Computer science,Control theory,Single antenna interference cancellation,Multiuser detection,Minimum mean square error,Communication channel,Asymptotic analysis,Coherence time,Estimator,Channel state information
Conference
2219-5491
Citations 
PageRank 
References 
2
0.39
15
Authors
4
Name
Order
Citations
PageRank
Mikko Vehkaper1161.46
Keigo Takeuchi29312.11
R. Muller31206124.92
Toshiyuki Tanaka419019.98