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Simplified alternating optimization for robust MMSE MIMO transceiver
National Mobile Communications Research Laboratory, Southeast University, Nanjing, China .
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-3599-5584
2011 (English)In: International Conference on Wireless Communications and Signal Processing (WCSP), 2011, IEEE conference proceedings, 2011Conference paper (Refereed)
Abstract [en]

We consider a worst-case robust transceiver design for multiple-input multiple-output (MIMO) channels, under the minimum mean square error (MMSE) criterion, to combat against the imperfection of channel state information (CSI). The joint robust transceiver design is formulated as a minimax problem. We show that for a given precoder (equalizer), the optimal robust equalizer (precoder) is obtained in a semi-closed form by channel diagonalization. Thus, a joint robust transceiver can be efficiently achieved by alternately optimizing the equalizer and precoder, where in each iteration only a power allocation problem is to be solved. We also propose efficient algorithms to solve the power allocation problems in each iteration.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2011.
Keyword [en]
Alternating optimization, imperfect CSI, MIMO, minimax, MMSE, worst-case robustness
National Category
Communication Systems Telecommunications
URN: urn:nbn:se:kth:diva-80930DOI: 10.1109/WCSP.2011.6096953ScopusID: 2-s2.0-84555186887OAI: diva2:496926
International Conference on Wireless Communications and Signal Processing (WCSP). Nanjing. 9 November 2011 - 11 November 2011
QC 20120214Available from: 2012-02-10 Created: 2012-02-10 Last updated: 2012-05-13Bibliographically approved

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