DocumentCode
2430293
Title
Amplify-and-forward relaying scheme based on GSVD for MIMO relay networks
Author
Fu, Youhua ; Yang, Luxi ; He, Zhenya
Author_Institution
Sch. of Inf. Sci. & Eng., Southeast Univ., Nanjing
fYear
2008
fDate
7-11 June 2008
Firstpage
506
Lastpage
511
Abstract
In this paper we consider a two-hop wireless MIMO relay network with a single source-destination pair and multiple relay terminals. The capacity in the MIMO relay network which operates in half-duplex mode is briefly discussed. We propose a novel amplify-and-forward (AF) relaying scheme by applying generalized singular value decomposition (GSVD) to improve the ergodic capacity under the assumption that the relay terminals have the perfect knowledge of channel state information (CSI). By using this relaying processing scheme, the MIMO relay network can be equivalent to the point-to-point parallel channels and the system noise can be additively white Gaussian. Numerical simulation results demonstrate that our relaying scheme based on GSVD obviously outperforms some conventional AF relaying schemes for the capacity of the MIMO relay network, while the ergodic capacities of the different AF-based relaying schemes exhibit logarithmic scaling in the number of relays.
Keywords
AWGN; MIMO communication; numerical analysis; singular value decomposition; additively white Gaussian noise; amplify-and-forward relaying scheme; channel state information; ergodic capacity; generalized singular value decomposition; logarithmic scaling; numerical simulation; point-to-point parallel channels; two-hop wireless MIMO relay network; Array signal processing; Channel state information; MIMO; Matrix decomposition; Power system relaying; Relays; Singular value decomposition; Space technology; Upper bound; Wireless networks; MIMO relay networks; amplify-and-forward (AF); generalized singular value decomposition (GSVD);
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks and Signal Processing, 2008 International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-2310-1
Electronic_ISBN
978-1-4244-2311-8
Type
conf
DOI
10.1109/ICNNSP.2008.4590402
Filename
4590402
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