DocumentCode :
3417937
Title :
Statistical eigenvalue transmission over MIMO relay channels
Author :
Ji, Baofeng ; Song, Kang ; Zhang, Jun ; Huang, Yongming ; Yang, Luxi
Author_Institution :
Inf. Sci. & Eng. Coll., Southeast Univ., Nanjing, China
fYear :
2010
fDate :
24-28 Oct. 2010
Firstpage :
1475
Lastpage :
1479
Abstract :
The paper considers the multiple-access two-hop relay network, due to more practical environment, the source nodes only know the statistical channel state information. We adopt a general jointly-correlated MIMO channel model, which does not require separable spatial correlations at the source nodes and relay node. Based on this model, we firstly derive the closed-form tight upper bound for the ergodic capacity through the matrix permanents. Then we employ the convex optimization techniques and a simple iterative water-filling algorithm to obtain the a low complexity power allocation solution. Simulation displays the upper bound is tight and results are in agreement with the derivation.
Keywords :
MIMO communication; convex programming; eigenvalues and eigenfunctions; iterative methods; multi-access systems; radio repeaters; statistical analysis; MIMO relay channels; convex optimization techniques; ergodic capacity; general jointly-correlated MIMO channel model; iterative water-filling algorithm; low complexity power allocation solution; multiple-access two-hop relay network; relay node; source nodes; spatial correlations; statistical channel state information; statistical eigenvalue transmission; upper bound; Channel models; Copper; Correlation; MIMO; Relays; Resource management; Upper bound; Power allocation; ergodic capacity; jointly-correlation; multiple access;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing (ICSP), 2010 IEEE 10th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-5897-4
Type :
conf
DOI :
10.1109/ICOSP.2010.5656669
Filename :
5656669
Link To Document :
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