TENSOR-BASED PRECODING WITH BLIND MIMO CHANNEL ESTIMATION AND TRANSMIT ANTENNA SELECTION

被引：1
|
作者：
de Almeida, Andre L. F. [1 ,2 ]
da Silva, Icaro L. J. [2 ]
Favier, Gerard [1 ]
Cavalcanti, Francisco R. P. [2 ]
机构：
[1] Univ Nice Sophia Antipolis, I3S Lab, CNRS, 2000 Route Lucioles,BP 121, F-06903 Sophia Antipolis, France
[2] Federal Univ Ceara, GTEL Wireless Telecomm Res Grp, BR-60455760 Fortaleza, Ceara, Brazil
来源：
2008 IEEE 9TH WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS, VOLS 1 AND 2 | 2008年
关键词：
D O I：
10.1109/SPAWC.2008.4641635
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
We present a new precoding model for closed-loop multiple-antenna systems based on a tensor signal modeling and transmit antenna selection. The precoder is modeled as a third-order tensor and decomposed as a function of i) an antenna selection matrix determining the allocation of data streams to transmit antennas and ii) an orthogonal code matrix that spreads the data streams across time-slots. A sub-optimum transmit antenna selection algorithm based on limited-feedback is proposed. Blind channel estimation and symbol detection is afforded at the receiver by exploiting the algebraic tensor structure of the received signal. The bit error rate of the closed-loop system is tested by means of computer simulations.
引用
收藏
页码：386 / +
页数：2
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