Superimposed channel training for two-way MIMO relay systems

Chiong, Choo W.R., Rong, Yue and Xiang, Yong 2012, Superimposed channel training for two-way MIMO relay systems, in ICCS 2012 : Proceedings of the 13th IEEE International Conference on Communication Systems, IEEE, Piscataway, N.J., pp. 21-25.

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Title Superimposed channel training for two-way MIMO relay systems
Author(s) Chiong, Choo W.R.
Rong, Yue
Xiang, Yong
Conference name IEEE Communication Systems. Conference (13th : 2012 : Singapore)
Conference location Singapore
Conference dates 21-23 Nov. 2012
Title of proceedings ICCS 2012 : Proceedings of the 13th IEEE International Conference on Communication Systems
Editor(s) [Unknown]
Publication date 2012
Conference series IEEE Communication Systems Conference
Start page 21
End page 25
Total pages 5
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) channel estimation
superimposed training
MIMO relay
two-way relay
MMSE
Summary Two-way relaying systems are known to be capable of providing higher spectral efficiency compared with one-way relaying systems. However, the channel estimation problem for two-way relaying systems becomes more complicated. In this paper, we propose a superimposed channel training scheme for two-way MIMO relay communication systems, where the individual channel information for users-relay and relay-users links are estimated. The optimal structure of the source and relay training sequences are derived when the mean-squared error (MSE) of channel estimation is minimized. We also optimize the power allocation between the source and relay training sequences to improve the performance of the algorithm. Numerical examples are shown to demonstrate the performance of the proposed channel training algorithm.
ISBN 9781467320542
Language eng
Field of Research 100510 Wireless Communications
Socio Economic Objective 861701 Network Infrastructure Equipment
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30051364

Document type: Conference Paper
Collection: School of Information Technology
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