Abstract
Unlike the general concept of eliminating or avoiding inter-user interference in the downlink multi-user multiple-input single-output (MISO) system, the data-Aided precoding scheme attempts to exploit the constructive interference at symbol level. Positive interference can be constructed to enhance the received signal gain by predicting the phase and magnitude of the inter-user interference. In this paper, we formulate a constructive interference optimization problem that minimizes a sum of minimum mean square error (MMSE) for all users, while ensuring the minimum required constructive interference gain with a fixed total power constraint. As opposed to the existing scheme, such as constructive zero-forcing precoding or minimum power precoding subject to strict phase conservation for phase-shift keying (PSK), our proposed scheme exploits a full range of relaxation for the constructive interference region, while ensuring the link performance by minimizing the sum of mean-square error (MSE) for all users. In fact, the relaxed requirements lead to more degrees of freedom for improving the cumulative constructive interference gain (CCIG) under the varying channel conditions. Furthermore, our MMSE-based optimization approach allows for a semi-closed-form optimal solution to the data-Aided precoding scheme, providing a more CCIG without incurring unacceptable complexity than other state-of-The-Art schemes.
| Original language | English |
|---|---|
| Article number | 8602458 |
| Pages (from-to) | 1128-1141 |
| Number of pages | 14 |
| Journal | IEEE Transactions on Wireless Communications |
| Volume | 18 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 2019 Feb 1 |
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Keywords
- constructive interference gain
- constructive interference optimization (CIO)
- data-Aided precoding
- KKT conditions
- minimum mean square error (MMSE)
- Multi-user MISO downlink system
ASJC Scopus subject areas
- Computer Science Applications
- Electrical and Electronic Engineering
- Applied Mathematics
Cite this
Constructive Interference Optimization for Data-Aided Precoding in Multi-User MISO Systems. / Choi, Yongin; Lee, Jaewon; Rim, Minjoong; Kang, Chung Gu.
In: IEEE Transactions on Wireless Communications, Vol. 18, No. 2, 8602458, 01.02.2019, p. 1128-1141.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Constructive Interference Optimization for Data-Aided Precoding in Multi-User MISO Systems
AU - Choi, Yongin
AU - Lee, Jaewon
AU - Rim, Minjoong
AU - Kang, Chung Gu
PY - 2019/2/1
Y1 - 2019/2/1
N2 - Unlike the general concept of eliminating or avoiding inter-user interference in the downlink multi-user multiple-input single-output (MISO) system, the data-Aided precoding scheme attempts to exploit the constructive interference at symbol level. Positive interference can be constructed to enhance the received signal gain by predicting the phase and magnitude of the inter-user interference. In this paper, we formulate a constructive interference optimization problem that minimizes a sum of minimum mean square error (MMSE) for all users, while ensuring the minimum required constructive interference gain with a fixed total power constraint. As opposed to the existing scheme, such as constructive zero-forcing precoding or minimum power precoding subject to strict phase conservation for phase-shift keying (PSK), our proposed scheme exploits a full range of relaxation for the constructive interference region, while ensuring the link performance by minimizing the sum of mean-square error (MSE) for all users. In fact, the relaxed requirements lead to more degrees of freedom for improving the cumulative constructive interference gain (CCIG) under the varying channel conditions. Furthermore, our MMSE-based optimization approach allows for a semi-closed-form optimal solution to the data-Aided precoding scheme, providing a more CCIG without incurring unacceptable complexity than other state-of-The-Art schemes.
AB - Unlike the general concept of eliminating or avoiding inter-user interference in the downlink multi-user multiple-input single-output (MISO) system, the data-Aided precoding scheme attempts to exploit the constructive interference at symbol level. Positive interference can be constructed to enhance the received signal gain by predicting the phase and magnitude of the inter-user interference. In this paper, we formulate a constructive interference optimization problem that minimizes a sum of minimum mean square error (MMSE) for all users, while ensuring the minimum required constructive interference gain with a fixed total power constraint. As opposed to the existing scheme, such as constructive zero-forcing precoding or minimum power precoding subject to strict phase conservation for phase-shift keying (PSK), our proposed scheme exploits a full range of relaxation for the constructive interference region, while ensuring the link performance by minimizing the sum of mean-square error (MSE) for all users. In fact, the relaxed requirements lead to more degrees of freedom for improving the cumulative constructive interference gain (CCIG) under the varying channel conditions. Furthermore, our MMSE-based optimization approach allows for a semi-closed-form optimal solution to the data-Aided precoding scheme, providing a more CCIG without incurring unacceptable complexity than other state-of-The-Art schemes.
KW - constructive interference gain
KW - constructive interference optimization (CIO)
KW - data-Aided precoding
KW - KKT conditions
KW - minimum mean square error (MMSE)
KW - Multi-user MISO downlink system
UR - http://www.scopus.com/inward/record.url?scp=85061710694&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85061710694&partnerID=8YFLogxK
U2 - 10.1109/TWC.2018.2890059
DO - 10.1109/TWC.2018.2890059
M3 - Article
AN - SCOPUS:85061710694
VL - 18
SP - 1128
EP - 1141
JO - IEEE Transactions on Wireless Communications
JF - IEEE Transactions on Wireless Communications
SN - 1536-1276
IS - 2
M1 - 8602458
ER -