NDLI: Transmit optimization for frequency division duplex multi-antenna systems

Content Provider	IEEE Xplore Digital Library
Author	Agrawal, A. Cioffi, J.
Copyright Year	2002
Description	Author affiliation: Stanford Univ., CA, USA (Agrawal, A.; Cioffi, J.)
Abstract	This paper proposes a transmission scheme for frequency division duplex (FDD) multi-antenna systems. The proposed scheme achieves rates close to capacity without requiring explicit feedback of channel state information (CSI) from the receiver. For FDD systems, the conventional assumption is that the channels on the forward and reverse links are completely uncorrelated and hence the transmitter has to rely on feedback from the receiver in order to implement any transmit optimization. However, this assumption of completely uncorrelated channels on the two links is not always a valid assumption. It is argued that in several situations, specifically those in which the base station antenna array is situated high above the terrain, there is partial correlation between the two links. This paper presents a transmission scheme that exploits this correlation between the forward and reverse links in a multi-antenna FDD system. The scheme is designed to be robust in that the performance degrades gracefully in the absence of any correlation between the two links. Simulations show that the proposed scheme indeed achieves near-optimal performance under many different channel conditions.
Starting Page	1968
Ending Page	1972
File Size	250478
Page Count	5
File Format	PDF
ISBN	0780374673
ISSN	10903038
DOI	10.1109/VETECF.2002.1040562
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-09-24
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Frequency conversion Transmitters Transmitting antennas Base stations Receiving antennas Feedback Covariance matrix Direction of arrival estimation Channel state information Matrix decomposition
Content Type	Text
Resource Type	Article

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