An Efficient SCMA Codebook Optimization Algorithm Based on Mutual Information Maximization
Joint Authors
Lin, Jia-ru
Dong, Chao
Gao, Guili
Niu, Kai
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-04-01
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Information Technology and Computer Science
Abstract EN
An efficient codebook optimization algorithm is proposed to maximize mutual information in sparse code multiple access (SCMA).
At first, SCMA signal model is given according to superposition modulation structure, in which the channel matrix is column-extended.
The superposition model can well describe the relationship between the codebook matrix and received signal.
Based on the above model, an iterative codebook optimization algorithm is proposed to maximize mutual information between discrete input and continuous output.
This algorithm can efficiently adapt to multiuser channels with arbitrary channel coefficients.
The simulation results show that the proposed algorithm has good performance in both AWGN and non-AWGN channels.
In addition, message passing algorithm (MPA) works well with the codebook optimized according to the proposed algorithm.
American Psychological Association (APA)
Dong, Chao& Gao, Guili& Niu, Kai& Lin, Jia-ru. 2018. An Efficient SCMA Codebook Optimization Algorithm Based on Mutual Information Maximization. Wireless Communications and Mobile Computing،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1216357
Modern Language Association (MLA)
Dong, Chao…[et al.]. An Efficient SCMA Codebook Optimization Algorithm Based on Mutual Information Maximization. Wireless Communications and Mobile Computing No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1216357
American Medical Association (AMA)
Dong, Chao& Gao, Guili& Niu, Kai& Lin, Jia-ru. An Efficient SCMA Codebook Optimization Algorithm Based on Mutual Information Maximization. Wireless Communications and Mobile Computing. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1216357
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1216357