Title
Fast Gaussian Process Regression for Multiuser Detection in DS-CDMA.
Abstract
Recently, Gaussian process has been excellent for proving the effectiveness in solving the multiuser detection issue in code division multiple access system. Even with limited training sequences, Gaussian process-based solutions still surpass other approaches. However, due to the high complexity in terms of computation, the performance of this approach might be degraded. In this letter, we would like to propose an efficient method to reduce the complexity while still maintaining the desired accuracy. Finally, the proposed method is validated via the experiment.
Year
DOI
Venue
2017
10.1109/LCOMM.2016.2620430
IEEE Communications Letters
Keywords
Field
DocType
Estimation,Complexity theory,Multiuser detection,Multiaccess communication,Bit error rate,Ground penetrating radar,Kernel
Kernel (linear algebra),Kriging,Ground-penetrating radar,Computer science,Multiuser detection,Algorithm,Theoretical computer science,Real-time computing,Gaussian process,Code division multiple access,Computation,Bit error rate
Journal
Volume
Issue
ISSN
21
1
1089-7798
Citations 
PageRank 
References 
2
0.41
8
Authors
2
Name
Order
Citations
PageRank
Dinh-Mao Bui1323.35
Sungyoung Lee22932279.41