Abstract
In this article, we investigate a two-hop relaying communication where all nodes are equipped with antenna arrays. We derive the multiple-input multiple-output (MIMO) processing matrices using the mean-squared-error cost function and assuming that each node uses only locally available channel state information estimates. Spatial processing at the base station and at the user terminals is same as in the case of a direct communication. The emphasis is on the design of the MIMO precoding matrix at the relay as it has to process the noise and the interference on the first and on the second hop at the same time. The resulting system performance is close to the performance of the system that jointly optimizes matrices at the source and at the relay. The proposed solution requires significantly less computational power and feedback overhead than the solutions proposed in the literature.
| Original language | English |
|---|---|
| Article number | 186 |
| Journal | Eurasip Journal on Advances in Signal Processing |
| Volume | 2012 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 1 Dec 2012 |
| Externally published | Yes |
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Keywords
- MIMO systems
- MMSE processing
- Multi-user MIMO
- Relaying
ASJC Scopus subject areas
- Signal Processing
- Hardware and Architecture
- Electrical and Electronic Engineering
Cite this
Multi-user MIMO MMSE non-regenerative relaying using local channel state information. / Stefanović, Hana; Stanković, Veljko; Stefanović, Mihajloč; Spalević, Petar; Panić, Stefan R.; Milosavljević, Srdjan.
In: Eurasip Journal on Advances in Signal Processing, Vol. 2012, No. 1, 186, 01.12.2012.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Multi-user MIMO MMSE non-regenerative relaying using local channel state information
AU - Stefanović, Hana
AU - Stanković, Veljko
AU - Stefanović, Mihajloč
AU - Spalević, Petar
AU - Panić, Stefan R.
AU - Milosavljević, Srdjan
PY - 2012/12/1
Y1 - 2012/12/1
N2 - In this article, we investigate a two-hop relaying communication where all nodes are equipped with antenna arrays. We derive the multiple-input multiple-output (MIMO) processing matrices using the mean-squared-error cost function and assuming that each node uses only locally available channel state information estimates. Spatial processing at the base station and at the user terminals is same as in the case of a direct communication. The emphasis is on the design of the MIMO precoding matrix at the relay as it has to process the noise and the interference on the first and on the second hop at the same time. The resulting system performance is close to the performance of the system that jointly optimizes matrices at the source and at the relay. The proposed solution requires significantly less computational power and feedback overhead than the solutions proposed in the literature.
AB - In this article, we investigate a two-hop relaying communication where all nodes are equipped with antenna arrays. We derive the multiple-input multiple-output (MIMO) processing matrices using the mean-squared-error cost function and assuming that each node uses only locally available channel state information estimates. Spatial processing at the base station and at the user terminals is same as in the case of a direct communication. The emphasis is on the design of the MIMO precoding matrix at the relay as it has to process the noise and the interference on the first and on the second hop at the same time. The resulting system performance is close to the performance of the system that jointly optimizes matrices at the source and at the relay. The proposed solution requires significantly less computational power and feedback overhead than the solutions proposed in the literature.
KW - MIMO systems
KW - MMSE processing
KW - Multi-user MIMO
KW - Relaying
UR - http://www.scopus.com/inward/record.url?scp=84887027749&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84887027749&partnerID=8YFLogxK
U2 - 10.1186/1687-6180-2012-186
DO - 10.1186/1687-6180-2012-186
M3 - Article
AN - SCOPUS:84887027749
VL - 2012
JO - Eurasip Journal on Advances in Signal Processing
JF - Eurasip Journal on Advances in Signal Processing
SN - 1687-6172
IS - 1
M1 - 186
ER -