A New Channel Quantization Strategy for MIMO Interference Alignment with Limited Feedback

In K-user multiple-input multiple-output (MIMO) interference channels, it was shown that interference alignment (IA) achieves a full spatial multiplexing gain when perfect channel state information (CSI) is available at each transmitter in the network. When the CSI is fed back from receivers using t...

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Bibliographic Details
Published in:IEEE transactions on wireless communications 2012-01, Vol.11 (1), p.358-366
Main Authors: KIM, Jin-Sung, MOON, Sung-Hyun, LEE, Sang-Rim, LEE, Inkyu
Format: Article
Language:English
Subjects:
Alignment
Antennas
Applied sciences
channel quantization
Channels
Detection, estimation, filtering, equalization, prediction
Exact sciences and technology
Feedback
Gain
Information, signal and communications theory
Interference
Interference alignment
Interference channels
limited feedback
MIMO
Multiplexing
Quantization
Receivers
Sampling, quantization
Signal and communications theory
Signal, noise
Strategy
Studies
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Transmission and modulation (techniques and equipments)
Transmitters
Vectors
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Description
Summary:In K-user multiple-input multiple-output (MIMO) interference channels, it was shown that interference alignment (IA) achieves a full spatial multiplexing gain when perfect channel state information (CSI) is available at each transmitter in the network. When the CSI is fed back from receivers using the limited number of feedback bits, a significant performance loss is inevitable in the IA due to quantized channel knowledge. In this paper, we propose a new channel quantization strategy to optimize the performance of the IA with limited feedback. In our proposed scheme, we introduce an additional receive filter to minimize the chordal distance which accounts for the quantization error on Grassmann manifold. Besides, we analyze a reduction in terms of the chordal distance in our scheme compared to conventional methods. Simulation results verify that the proposed scheme provides substantially better performance than the conventional method as the number of feedback bits is increased. We show that our scheme exhibits 30% and 40% sum rate gains compared to the conventional scheme when the numbers of the feedback bits are 10 and 15, respectively, with two antennas per node.
ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2011.111211.110810