Graduate Thesis Or Dissertation
 

Feedback in multiple antenna wireless communication systems

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  • Multiple-input multiple-output wireless systems promise significant capacity gain and/or diversity gain over single antenna systems. If channel state information (CSI) is available at both the transmitter and the receiver, the performance can be further improved. In this thesis, first, we study binary index feedback problem in beamforming systems when the feedback channel is not error free. Feedback errors lead to incorrect beamforming vectors to be applied at the transmitter and thus degrade beamforming performance. Index-assignment algorithms that minimize the impact of feedback errors are proposed. Second, in the limited feedback beamforming scheme the receiver has to determine the best codeword from the beamforming codebook. Exhaustive codeword search for large-size codebooks becomes a burden when the receiver is a mobile device with limited computational power. We propose an algorithm to drastically reduce codeword selection complexity with negligible performance loss. Third, we compare angle feedback scheme and transmit antenna shuffling feedback scheme for double space-time transmit diversity systems. We show that the 1-bit angle feedback scheme does not provide a better performance than the 1-bit antenna shuffling feedback scheme. Fourth, we consider training power allocation for a closed-loop MIMO system in i.i.d. Rayleigh flat-fading channels with power constraint. We derive the optimal solution and asymptotic optimal solution of training power allocation for spatial power control and spatial and fading power control. Lastly, we analyze the optimal diversity-multiplexing tradeoff of multiple beamforming systems and compare it with the well known result for MIMO channels with channel state information at the receiver (CSIR) only and with the optimal diversity-multiplexing tradeoff of spatial multiplexing system with channel state information at the transmitter (CSIT), but without coding over space and time.
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file details XuTao2010.pdf 2017-10-20 Public Télécharger