Exploiting Spatial and Frequency Diversity in Spatially Correlated MU-MIMO Downlink Channels
Author
Source
Journal of Computer Networks and Communications
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-12-26
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
The effect of self-interference due to the increase of spatial correlation in a MIMO channel has become one of the limiting factors towards the implementation of future network downlink transmissions.
This paper aims to reduce the effect of self-interference in a downlink multiuser- (MU-) MIMO transmission by exploiting the available spatial and frequency diversity.
The subcarrier allocation scheme can exploit the frequency diversity to determine the self-interference from the ESINR metric, while the spatial diversity can be exploited by introducing the partial feedback scheme, which offers knowledge of the channel condition to the base station and further reduces the effect before the allocation process takes place.
The results have shown that the proposed downlink transmission scheme offers robust bit error rate (BER) performance, even when simulated in a fully correlated channel, without imposing higher feedback requirements on the base controller.
American Psychological Association (APA)
Nordin, Rosdiadee. 2012. Exploiting Spatial and Frequency Diversity in Spatially Correlated MU-MIMO Downlink Channels. Journal of Computer Networks and Communications،Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-470286
Modern Language Association (MLA)
Nordin, Rosdiadee. Exploiting Spatial and Frequency Diversity in Spatially Correlated MU-MIMO Downlink Channels. Journal of Computer Networks and Communications No. 2012 (2012), pp.1-10.
https://search.emarefa.net/detail/BIM-470286
American Medical Association (AMA)
Nordin, Rosdiadee. Exploiting Spatial and Frequency Diversity in Spatially Correlated MU-MIMO Downlink Channels. Journal of Computer Networks and Communications. 2012. Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-470286
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-470286