DocumentCode :
3272245
Title :
Optimum training sequence design for multi-input multi-output (MIMO) two-way wireless relay networks
Author :
Pham, The-Hanh ; Liang, Ying-Chang ; Nallanathan, A. ; Krishna, Garg Hari
Author_Institution :
Nat. Univ. of Singapore, Singapore, Singapore
fYear :
2009
fDate :
8-10 Dec. 2009
Firstpage :
1
Lastpage :
5
Abstract :
In this paper, we consider a multi-input multioutput (MIMO) two-way wireless relay network in which two users, U1 and U2, exchange their information via a relay station, R. Single carrier cyclic prefix (SCCP) is used in the system to combat intersymbol interference (ISI) in frequency-selective fading channels. The transmission process is divided into two phases. At phase 1, both users send their information to R simultaneously. R then amplifies and transmits its received signals at Phase 2. We propose an algorithm to estimate the channel information at end users based on the least-square principle. To further minimize the mean square error (MSE) of the estimate, a method to design the optimal training sequences is also proposed. The proposed method does not estimate individual channels between each end user and R but incorporates them into composite channels. Simulation results show that the performance achieved by our optimal design is close to that with perfect channel information.
Keywords :
MIMO communication; channel estimation; fading channels; intersymbol interference; least squares approximations; mean square error methods; radio receivers; channel estimation; frequency-selective fading channels; intersymbol interference; least-square principle; mean square error method; multi-input multi-output two-way wireless relay networks; optimum training sequence design; single carrier cyclic prefix; Channel estimation; Design engineering; Frequency-selective fading channels; Intersymbol interference; MIMO; Peak to average power ratio; Power system relaying; Relays; Signal design; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information, Communications and Signal Processing, 2009. ICICS 2009. 7th International Conference on
Conference_Location :
Macau
Print_ISBN :
978-1-4244-4656-8
Electronic_ISBN :
978-1-4244-4657-5
Type :
conf
DOI :
10.1109/ICICS.2009.5397702
Filename :
5397702
Link To Document :
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