Authors:
César Benavente-Peces
1
;
Francisco Cano-Broncano
1
;
Sebastian Aust
2
and
Andreas Ahrens
2
Affiliations:
1
Universidad Politécnica de Madrid, Spain
;
2
University of Technology and Business and Design, Germany
Keyword(s):
Multiple-Input Multiple-Output System, Singular-Value Decomposition, Bit Allocation, Power Allocation, Wireless Transmission, Multiuser Transmission.
Related
Ontology
Subjects/Areas/Topics:
Detection and Estimation
;
Digital Signal Processing
;
Signal Processing in Communications
;
Telecommunications
Abstract:
Multiuser multiple-input multiple-output (MIMO) downlink (DL) transmission schemes experience both multiuser interference as well as inter-antenna interference. The singular value decomposition provides an appropriate mean to process channel information and allows us to take the individual user’s channel characteristics into account rather than treating all users channels jointly as in zero-forcing (ZF) multiuser transmission techniques. However, uncorrelated MIMO channels has attracted a lot of attention and reached a state of maturity. By contrast, the performance analysis in the presence of antenna fading correlation, which decreases the channel capacity, requires substantial further research. The 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 has to be activated in order to minimize the overall BER under the constraint o
f a given fixed data throughput.
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