DocumentCode
2027817
Title
Grassmannian Packings for Efficient Quantization in MIMO Broadcast Systems
Author
Ashikhmin, A. ; Gopalan, R.K.
Author_Institution
Bell Labs., Murray Hill
fYear
2007
fDate
24-29 June 2007
Firstpage
1811
Lastpage
1815
Abstract
It is well known that availability of the channel state information (CSI) at the transmitter significantly increases the throughput of MIMO broadcast systems. For even larger increase of the throughput it is important to identify and to transmit to receivers whose channel vectors are almost orthogonal to each other. Since typically the feedback link from the receivers to the transmitter is low-rate, only a quantized version of the CSI can be sent back to the transmitter. In this paper we consider the problem of designing Grassmannian packings that can serve as good quantization codebooks, have low maximum likelihood decoding complexity, and allow to identify receivers with orthogonal, and/or almost orthogonal, channel vectors in a very efficient way.
Keywords
MIMO communication; channel estimation; maximum likelihood decoding; quantisation (signal); Grassmannian packings; MIMO broadcast system; channel state information; maximum likelihood decoding complexity; Array signal processing; Base stations; Broadcasting; Channel state information; Feedback; MIMO; Maximum likelihood decoding; Quantization; Throughput; Transmitters;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 2007. ISIT 2007. IEEE International Symposium on
Conference_Location
Nice
Print_ISBN
978-1-4244-1397-3
Type
conf
DOI
10.1109/ISIT.2007.4557484
Filename
4557484
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