Robust Precoder Design in MISO Downlink Based on Quadratic Channel Estimation

In (Dong and Ding, 2006), it has been proposed that channel estimates in quadratic form can be obtained at the base station by sending training sequences to the mobiles where the received signals are forwarded back to the base for channel estimation. In this paper, we first examine the optimal train...

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Veröffentlicht in:IEEE International Conference on Communications (2003) S. 4754 - 4758
Hauptverfasser: Gan Zheng, Shaodan Ma, Kai-Kit Wong, Tung-Sang Ng
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.05.2008
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ISSN:1550-3607
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Abstract In (Dong and Ding, 2006), it has been proposed that channel estimates in quadratic form can be obtained at the base station by sending training sequences to the mobiles where the received signals are forwarded back to the base for channel estimation. In this paper, we first examine the optimal training sequence design for such quadratic channel estimation and then analyze the error bound and statistics of the channel estimates in quadratic form. With the analytical results, two problems for a multiple-input single-output (MISO) antenna system in the downlink are constructed and optimally solved: Power minimization with individual users' 1) worst-case signal-to-interference plus noise ratio (SINR) and 2) average mean-square-error (MSE) constraints, through optimal multiuser MISO beamforming and power allocation.
AbstractList In (Dong and Ding, 2006), it has been proposed that channel estimates in quadratic form can be obtained at the base station by sending training sequences to the mobiles where the received signals are forwarded back to the base for channel estimation. In this paper, we first examine the optimal training sequence design for such quadratic channel estimation and then analyze the error bound and statistics of the channel estimates in quadratic form. With the analytical results, two problems for a multiple-input single-output (MISO) antenna system in the downlink are constructed and optimally solved: Power minimization with individual users' 1) worst-case signal-to-interference plus noise ratio (SINR) and 2) average mean-square-error (MSE) constraints, through optimal multiuser MISO beamforming and power allocation.
Author Kai-Kit Wong
Tung-Sang Ng
Shaodan Ma
Gan Zheng
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Snippet In (Dong and Ding, 2006), it has been proposed that channel estimates in quadratic form can be obtained at the base station by sending training sequences to...
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StartPage 4754
SubjectTerms Array signal processing
Base stations
Channel estimation
Design engineering
Downlink
Error analysis
MIMO
Robustness
Signal to noise ratio
Statistical analysis
Title Robust Precoder Design in MISO Downlink Based on Quadratic Channel Estimation
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