Reference : Robust Maximin MIMO Precoding for Arbitrary Convex Uncertainty Sets
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
Engineering, computing & technology : Electrical & electronics engineering
http://hdl.handle.net/10993/7587
Robust Maximin MIMO Precoding for Arbitrary Convex Uncertainty Sets
English
Wang, Jiaheng [> >]
Bengtsson, Mats [> >]
Ottersten, Björn mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
P Palomar, Daniel [> >]
2012
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
IEEE
3045 - 3048
Yes
International
978-1-4673-0045-2
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
25-30 March 2012
Kyoto
Japan
[en] We consider a worst-case robust precoding design for multi-input multi-output (MIMO) communication systems with imperfect channel state information at the transmitter (CSIT). Instead of a particular choice, we consider a general imperfect CSIT model that only assumes the channel errors to be within a convex set, which includes most common imperfect CSIT models as special cases. The robust precoding design is formulated as a maximin problem, aiming at maximizing the worst-case received signal-to-noise ratio or minimizing the worst-case error probability. It is shown that the robust precoder can be easily obtained by solving a convex problem. We further provide an equivalent but more practical form of the convex problem that can be efficiently handled with common optimization methods and software packages.
Others
http://hdl.handle.net/10993/7587
10.1109/ICASSP.2012.6288557

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