Combining Long-Term and Low-Rate Short-Term Channel State Information over Correlated MIMO Channels
2008 (English)In: IEEE Transactions on Wireless Communications, ISSN 1536-1276, E-ISSN 1558-2248, Vol. 7, no 7, 2409-2414 p.Article in journal (Refereed) Published
A simple structure to exploit both long-term and partial short-term channel state information at the transmitter (CSIT) over a family of correlated multiple-antenna channels is proposed. Partial short-term CSIT in the form of a weighting matrix is combined with a unitary transformation based on the long-term channel statistics. The heavily quantized feedback link is directly optimized to maximize the expected achievable rate under different power constraints, using vector quantization and convex optimization techniques on a sample channel distribution. Robustness against errors in the feedback link is also pursued with tools in channel optimized vector quantization. Simulations indicate the benefits of the proposed scheme.
Place, publisher, year, edition, pages
2008. Vol. 7, no 7, 2409-2414 p.
MIMO systems, fading channels, information rates, feedback communication, adaptive systems
Engineering and Technology
IdentifiersURN: urn:nbn:se:liu:diva-25567DOI: 10.1109/TWC.2008.060989OAI: oai:DiVA.org:liu-25567DiVA: diva2:245928
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Tùng T. Kim, Mats Bengtsson, Erik G. Larsson and Mikael Skoglund, Combining Long-Term and Low-Rate Short-Term Channel State Information over Correlated MIMO Channels, 2008, IEEE Transactions on Wireless Communications, (7), 7, 2409-2414.