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Robust maximin MIMO precoding for arbitrary convex uncertainty sets
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- Wang, Jiaheng (author)
- KTH,Signalbehandling,ACCESS Linnaeus Centre
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- Bengtsson, Mats, 1967- (author)
- KTH,Signalbehandling,ACCESS Linnaeus Centre
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- Ottersten, Björn, 1961- (author)
- KTH,Signalbehandling,ACCESS Linnaeus Centre
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- (creator_code:org_t)
- IEEE, 2012
- 2012
- English.
- In: Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on. - : IEEE. - 9781467300469 ; , s. 3045-3048
- Conference paper (peer-reviewed)
Abstract
Subject headings
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- 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.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Telekommunikation (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Telecommunications (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
Keyword
- Convex uncertainty sets
- imperfect CSIT
- maximin
- MIMO
- worst-case robustness
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- ref (subject category)
- kon (subject category)
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