NDLI: Limited Feedback-Based Multi-Antenna Relay Broadcast Channels with Block Diagonalization

Content Provider	IEEE Xplore Digital Library
Author	Le Liang Wei Xu Xiaodai Dong
Copyright Year	2002
Abstract	The relay technology is effective in extending radio coverage and improving the performance of cell edge users. In multi-antenna relay channels, good knowledge of the channel state information (CSI) at the transmitter is important to achieve multiplexing gains of the multiple-input multiple-output technique. In this paper, we study the multi-antenna relay downlink channel with limited feedback CSI from both two-hop links. Data streams from the base station (BS) are first transmitted to a relay station (RS) with singular value decomposition-based precoding and receiver pulse shaping at the BS and RS, respectively. The block diagonalization precoding is then applied at the RS to forward the received signals to the remote multi-antenna users. We derive an upper bound for the system throughput loss due to CSI quantization error, and then propose a feedback quality control strategy to maintain a bounded rate loss relative to the perfect CSI case. It reveals that the feedback size B₁ from the RS to BS needs to scale in proportion to both transmit power at the BS and RS while the feedback size B₂ from each user to the RS only needs to scale linearly with the transmit power at the RS.
Starting Page	4092
Ending Page	4101
Page Count	10
File Size	520781
File Format	PDF
ISSN	15361276
Volume Number	12
Issue Number	8
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-08-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Relays Quantization (signal) MIMO Upper bound Vectors Channel estimation Downlink limited feedback Amplify-and-forward (AF) relay multiple-input multiple-output (MIMO) block diagonalization (BD)
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Electrical and Electronic Engineering Computer Science Applications

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