DocumentCode
528620
Title
Modulation-mode and power-assignment for SVD-and GMD-assisted downlink MIMO systems
Author
Aust, Sebastian ; Ahrens, Andreas ; Benavente-Peces, César
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., Hochschule Wismar, Univ. of Technol., Wismar, Germany
fYear
2010
fDate
7-10 Sept. 2010
Firstpage
367
Lastpage
370
Abstract
Multiuser multiple-input multiple-output (MIMO) downlink (DL) transmission schemes experience both multiuser interference (MUI) as well as inter-antenna interference. However, instead of treating all the users jointly as in zero-forcing (ZF) multiuser transmission techniques, the investigated singular value decomposition (SVD) and geometric mean decomposition (GMD) assisted DL multiuser MIMO systems take the individual user´s channel characteristics into account. The performed joint optimization of the number of activated MIMO layers and the number of bits per symbol along with the appropriate allocation of the transmit power shows that not necessarily all user-specific MIMO layers have to be activated in order to minimize the overall BER under the constraint of a fixed data throughput.
Keywords
MIMO communication; error statistics; geometry; modulation; multi-access systems; radio links; radiofrequency interference; singular value decomposition; wireless channels; MIMO downlink transmission; bit error rate; bits per symbol; channel characteristics; data throughput; downlink MIMO system; geometric mean decomposition; interantenna interference; modulation-mode; multiuser interference; multiuser multiple-input multiple-output system; multiuser transmission; power assignment; singular value decomposition; transmit power allocation; user-specific MIMO layer; zero-forcing; Bit error rate; MIMO; Quadrature amplitude modulation; Receiving antennas; Resource management; Signal to noise ratio; Wireless communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals and Electronic Systems (ICSES), 2010 International Conference on
Conference_Location
Gliwice
Print_ISBN
978-1-4244-5307-8
Electronic_ISBN
978-83-9047-4-2
Type
conf
Filename
5595170
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