Analytical Computation of Information Rate for MIMO Channels
Joint Authors
Tan, Zhenhui
Zhang, Jinbao
Chen, Song
Source
Journal of Computer Networks and Communications
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-02-08
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Information Technology and Computer Science
Abstract EN
Information rate for discrete signaling constellations is significant.
However, the computational complexity makes information rate rather difficult to analyze for arbitrary fading multiple-input multiple-output (MIMO) channels.
An analytical method is proposed to compute information rate, which is characterized by considerable accuracy, reasonable complexity, and concise representation.
These features will improve accuracy for performance analysis with criterion of information rate.
American Psychological Association (APA)
Zhang, Jinbao& Tan, Zhenhui& Chen, Song. 2017. Analytical Computation of Information Rate for MIMO Channels. Journal of Computer Networks and Communications،Vol. 2017, no. 2017, pp.1-6.
https://search.emarefa.net/detail/BIM-1173347
Modern Language Association (MLA)
Zhang, Jinbao…[et al.]. Analytical Computation of Information Rate for MIMO Channels. Journal of Computer Networks and Communications No. 2017 (2017), pp.1-6.
https://search.emarefa.net/detail/BIM-1173347
American Medical Association (AMA)
Zhang, Jinbao& Tan, Zhenhui& Chen, Song. Analytical Computation of Information Rate for MIMO Channels. Journal of Computer Networks and Communications. 2017. Vol. 2017, no. 2017, pp.1-6.
https://search.emarefa.net/detail/BIM-1173347
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1173347
