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Feedback design in multiuser MIMO systems using quantization splitting and hybrid instantaneous/statistical channel information
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
Institut Eurécom, 2229 route des crêtes, BP 193, F-06560, Sophia Antipolis, France.
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-3599-5584
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2008 (English)In: ICT-MobileSummit 2008 Conference Proceedings / [ed] Paul Cunningham and Miriam Cunningham, IIMC International Information Management Corporation , 2008, , 8 p.Conference paper, Published paper (Refereed)
Abstract [en]

In the design of next generation multiuser communication systems, multiple antenna transmission is an essential part providing spatial multiplexing gain and allowing efficient use of resources. A major limiting factor in the resource allocation is the amount of channel state information (CSI) available at the transmitter, particularly in multiuser systems where the feedback from each user terminal must be limited. To this effect we propose two independent approaches for an efficient representation of the channel in multiuser MIMO systems. In the first approach, channel quantization is considered where the total number of feedback bits is limited. A resource allocation scheme is proposed where the available rate is split between the scheduling phase, where all users feed back a coarse CSI quantization, and the precoding phase where the selected receivers refine their CSI. The optimum splitting of the available feedback rate provides a large increase in performance and even simple heuristic splitting gives a noticeable advantage. In the second approach, we exploit a combination of instantaneous and statistical channel information. For spatially correlated Rayleigh and Ricean channels, it is shown that the CSI to large extent can be represented by the channel norm when the long-term channel statistics are known. Within a minimum mean square error (MMSE) estimation framework, feedback of a few bits of the quantized channel norm is sufficient to perform efficient resource allocation and achieve performance close to that of full CSI.

Place, publisher, year, edition, pages
IIMC International Information Management Corporation , 2008. , 8 p.
Series
Proceedings ICT Mobile and Wireless Communications Summit
Keyword [en]
Array signal processing, Mobile communication, Feedback design, COOPCOM
National Category
Telecommunications Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-45079ISBN: 978-1-905824-08-3 (print)OAI: oai:DiVA.org:kth-45079DiVA: diva2:451748
Conference
ICT-MobileSummit 2008 Conference
Note
QC 20111101Available from: 2011-11-01 Created: 2011-10-26 Last updated: 2012-01-23Bibliographically approved

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