Abstract
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.
| Original language | English |
|---|---|
| Article number | 6092791 |
| Pages (from-to) | 358-366 |
| Number of pages | 9 |
| Journal | IEEE Transactions on Wireless Communications |
| Volume | 11 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2012 Jan 1 |
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Keywords
- channel quantization
- Interference alignment
- limited feedback
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Computer Science Applications
- Applied Mathematics
Cite this
A new channel quantization strategy for MIMO interference alignment with limited feedback. / Kim, Jin Sung; Moon, Sung Hyun; Lee, Sang Rim; Lee, Inkyu.
In: IEEE Transactions on Wireless Communications, Vol. 11, No. 1, 6092791, 01.01.2012, p. 358-366.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - A new channel quantization strategy for MIMO interference alignment with limited feedback
AU - Kim, Jin Sung
AU - Moon, Sung Hyun
AU - Lee, Sang Rim
AU - Lee, Inkyu
PY - 2012/1/1
Y1 - 2012/1/1
N2 - 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.
AB - 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.
KW - channel quantization
KW - Interference alignment
KW - limited feedback
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U2 - 10.1109/TWC.2011.111211.110810
DO - 10.1109/TWC.2011.111211.110810
M3 - Article
VL - 11
SP - 358
EP - 366
JO - IEEE Transactions on Wireless Communications
JF - IEEE Transactions on Wireless Communications
SN - 1536-1276
IS - 1
M1 - 6092791
ER -