Abstract
This paper proposes a method to reduce the symbol error caused by modulo operator for regularized channel inversion (RCI)-based vector perturbation (RCI-VP). The proposed method introduces dual regularization parameters of RCI precoding matrix. First regularization parameter α1 is set so as to maximize the signal to interference plus noise ratio (SINR) value of each stream to find the optimal perturbation vector. The second regularization parameter α2 is set so as to minimize the total MSE between the transmitted perturbation vector and received perturbation vector to reduce the symbol error caused by modulo operator. The simulated results confirm that the proposed method can improve the performance of RCI-VP over i.i.d. MIMO channel and frequency-selective fading MIMO channel.
| Original language | English |
|---|---|
| Title of host publication | 16th International Conference on Advanced Communication Technology |
| Subtitle of host publication | Content Centric Network Innovation!, ICACT 2014 - Proceeding |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 361-368 |
| Number of pages | 8 |
| ISBN (Print) | 9788996865032 |
| DOIs | |
| Publication status | Published - 2014 |
| Externally published | Yes |
| Event | 16th International Conference on Advanced Communication Technology: Content Centric Network Innovation!, ICACT 2014 - PyeongChang, Korea, Republic of Duration: Feb 16 2014 → Feb 19 2014 |
Other
| Other | 16th International Conference on Advanced Communication Technology: Content Centric Network Innovation!, ICACT 2014 |
|---|---|
| Country | Korea, Republic of |
| City | PyeongChang |
| Period | 2/16/14 → 2/19/14 |
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Keywords
- Minimum mean square error
- Modulo loss
- Regularization parameter
- SINR maximization
- Vector perturbation
ASJC Scopus subject areas
- Electrical and Electronic Engineering
Cite this
Introducing dual regularization parameters into regularized channel inversion (RCI)-based vector perturbation for modulo loss reduction. / Hou, Yafei; Tsukamoto, Satoshi; Yano, Kazuto; Uno, Masahiro; Kobayashi, Kiyoshi.
16th International Conference on Advanced Communication Technology: Content Centric Network Innovation!, ICACT 2014 - Proceeding. Institute of Electrical and Electronics Engineers Inc., 2014. p. 361-368 6779194.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Introducing dual regularization parameters into regularized channel inversion (RCI)-based vector perturbation for modulo loss reduction
AU - Hou, Yafei
AU - Tsukamoto, Satoshi
AU - Yano, Kazuto
AU - Uno, Masahiro
AU - Kobayashi, Kiyoshi
PY - 2014
Y1 - 2014
N2 - This paper proposes a method to reduce the symbol error caused by modulo operator for regularized channel inversion (RCI)-based vector perturbation (RCI-VP). The proposed method introduces dual regularization parameters of RCI precoding matrix. First regularization parameter α1 is set so as to maximize the signal to interference plus noise ratio (SINR) value of each stream to find the optimal perturbation vector. The second regularization parameter α2 is set so as to minimize the total MSE between the transmitted perturbation vector and received perturbation vector to reduce the symbol error caused by modulo operator. The simulated results confirm that the proposed method can improve the performance of RCI-VP over i.i.d. MIMO channel and frequency-selective fading MIMO channel.
AB - This paper proposes a method to reduce the symbol error caused by modulo operator for regularized channel inversion (RCI)-based vector perturbation (RCI-VP). The proposed method introduces dual regularization parameters of RCI precoding matrix. First regularization parameter α1 is set so as to maximize the signal to interference plus noise ratio (SINR) value of each stream to find the optimal perturbation vector. The second regularization parameter α2 is set so as to minimize the total MSE between the transmitted perturbation vector and received perturbation vector to reduce the symbol error caused by modulo operator. The simulated results confirm that the proposed method can improve the performance of RCI-VP over i.i.d. MIMO channel and frequency-selective fading MIMO channel.
KW - Minimum mean square error
KW - Modulo loss
KW - Regularization parameter
KW - SINR maximization
KW - Vector perturbation
UR - http://www.scopus.com/inward/record.url?scp=84898942866&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84898942866&partnerID=8YFLogxK
U2 - 10.1109/ICACT.2014.6779194
DO - 10.1109/ICACT.2014.6779194
M3 - Conference contribution
AN - SCOPUS:84898942866
SN - 9788996865032
SP - 361
EP - 368
BT - 16th International Conference on Advanced Communication Technology
PB - Institute of Electrical and Electronics Engineers Inc.
ER -