Abstract
In this paper, we consider the design of robust linear precoders for MU-MISO systems where users have perfect Channel State Information (CSI) while the BS has partial CSI. In particular, the BS has access to imperfect estimates of the channel vectors, in addition to the covariance matrices of the estimation error vectors. A closed-form expression for the Average Minimum Mean Square Error (AMMSE) is obtained using the second order Taylor Expansion. This approximation is used to formulate two fairness-based robust design problems: a maximum AMMSE-constrained problem and a power-constrained problem. We propose an algorithm based on convex optimization techniques to address the first problem, while the second problem is tackled by exploiting the close relationship between the two problems, in addition to their monotonie natures.
| Original language | English |
|---|---|
| Title of host publication | 2014 IEEE Global Communications Conference, GLOBECOM 2014 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 3308-3313 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781479935116 |
| DOIs | |
| Publication status | Published - 2014 Feb 9 |
| Event | 2014 IEEE Global Communications Conference, GLOBECOM 2014 - Austin, United States Duration: 2014 Dec 8 → 2014 Dec 12 |
Other
| Other | 2014 IEEE Global Communications Conference, GLOBECOM 2014 |
|---|---|
| Country | United States |
| City | Austin |
| Period | 14/12/8 → 14/12/12 |
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Keywords
- AMMSE
- Imperfect CSIT
- Robust Design
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Communication
Cite this
AMMSE optimization for multiuser MISO systems with imperfect CSIT and perfect CSIR. / Joudeh, Hamdi; Clercks, Bruno.
2014 IEEE Global Communications Conference, GLOBECOM 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 3308-3313 7037317.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - AMMSE optimization for multiuser MISO systems with imperfect CSIT and perfect CSIR
AU - Joudeh, Hamdi
AU - Clercks, Bruno
PY - 2014/2/9
Y1 - 2014/2/9
N2 - In this paper, we consider the design of robust linear precoders for MU-MISO systems where users have perfect Channel State Information (CSI) while the BS has partial CSI. In particular, the BS has access to imperfect estimates of the channel vectors, in addition to the covariance matrices of the estimation error vectors. A closed-form expression for the Average Minimum Mean Square Error (AMMSE) is obtained using the second order Taylor Expansion. This approximation is used to formulate two fairness-based robust design problems: a maximum AMMSE-constrained problem and a power-constrained problem. We propose an algorithm based on convex optimization techniques to address the first problem, while the second problem is tackled by exploiting the close relationship between the two problems, in addition to their monotonie natures.
AB - In this paper, we consider the design of robust linear precoders for MU-MISO systems where users have perfect Channel State Information (CSI) while the BS has partial CSI. In particular, the BS has access to imperfect estimates of the channel vectors, in addition to the covariance matrices of the estimation error vectors. A closed-form expression for the Average Minimum Mean Square Error (AMMSE) is obtained using the second order Taylor Expansion. This approximation is used to formulate two fairness-based robust design problems: a maximum AMMSE-constrained problem and a power-constrained problem. We propose an algorithm based on convex optimization techniques to address the first problem, while the second problem is tackled by exploiting the close relationship between the two problems, in addition to their monotonie natures.
KW - AMMSE
KW - Imperfect CSIT
KW - Robust Design
UR - http://www.scopus.com/inward/record.url?scp=84949922288&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84949922288&partnerID=8YFLogxK
U2 - 10.1109/GLOCOM.2014.7037317
DO - 10.1109/GLOCOM.2014.7037317
M3 - Conference contribution
AN - SCOPUS:84949922288
SP - 3308
EP - 3313
BT - 2014 IEEE Global Communications Conference, GLOBECOM 2014
PB - Institute of Electrical and Electronics Engineers Inc.
ER -