DocumentCode
583103
Title
Transmit Beamforming Interpolation Algorithm for MIMO-OFDM Systems in the Limited Feedback Scenario
Author
Hailang He ; Ying Zeng
Author_Institution
Inst. of Inf. & Laser, Shaoyang Univ., Shaoyang, China
fYear
2012
fDate
27-29 Oct. 2012
Firstpage
696
Lastpage
699
Abstract
In the limited feedback scenario, optimal beam forming requires channel state information (CSI) in the form of the beam forming vectors for each OFDM sub carrier, the beam forming vectors are quantized at the receiver and then the quantized information is provided to the transmitter. In order to decrease the feedback overhead caused by the beam forming on every sub carrier in multiple-input multiple-output orthogonal frequency division multiplexing (M IMO-OFDM ) systems, the beam forming issue is investigated for the MIMO-OFDM system, where the channel state information on certain sub carriers at the transmitter as well as the feature of the channel correlation in frequency band are fully exploited. By employing some interpolation methods among many beam formers at different carriers, This paper proposes a linear and Gaussian interpolation algorithms for MIMO-OFDM systems with limited feedback, The simulation results show that the new algorithms acquire proper gain in performance, indicating that the proposed schemes improved the system performances greatly.
Keywords
Gaussian processes; MIMO communication; OFDM modulation; array signal processing; channel allocation; channel estimation; feedback; interpolation; CSI; Gaussian interpolation algorithms; MIMO-OFDM systems; OFDM subcarrier; beamforming vectors; channel correlation; channel state information; feedback overhead; frequency band; interpolation methods; limited feedback scenario; linear interpolation algorithms; multiple input multipleoutput orthogonal frequency division multiplexing systems; optimal beam forming; quantized information; transmit beamforming interpolation algorithm; Array signal processing; Channel estimation; Interpolation; OFDM; Signal processing algorithms; Transmitters; Vectors; Multiple input multiple output-orthogonal frequency division multiplexing; channel estimation; least squares; linear minimum mean squared error;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Information Technology (CIT), 2012 IEEE 12th International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4673-4873-7
Type
conf
DOI
10.1109/CIT.2012.145
Filename
6391982
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