Space -Time Transmit Precoding and Interference Suppression for a Wireless Downlink
Visotsky, Eugene
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Permalink
https://hdl.handle.net/2142/80700
Description
Title
Space -Time Transmit Precoding and Interference Suppression for a Wireless Downlink
Author(s)
Visotsky, Eugene
Issue Date
2000
Doctoral Committee Chair(s)
Upamanyu Madhow
Department of Study
Electrical Engineering
Discipline
Electrical Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Engineering, Electronics and Electrical
Language
eng
Abstract
The first topic considered in the thesis is interference suppression using space-time transmit filters for a multiuser system, assuming perfect channel feedback. The filter design is formulated as an optimization problem, and an iterative algorithm that converges to the global optimum is derived. Next, the effect of imperfections in the channel feedback is investigated, focusing on a single receiver. Conditioned on the feedback, the space-time channel estimate at the transmitter is modeled as a random vector with a complex Gaussian distribution, which is consistent with standard models of Rayleigh and Rician fading channels. Optimum strategies that maximize the long term information transfer rate are derived under a variety of assumptions regarding this distribution. It is shown that the simple strategy of beamforming is close to optimal in many situations of interest. Finally, methods for the generation of channel feedback are devised. These methods employ Wiener filtering at the transmitter and the receiver for channel estimation and prediction from information derived from the pilot and feedback, respectively. Furthermore, these schemes employ the novel approach of directly sending analogue values back to the transmitter, thus avoiding quantization error. The new schemes are shown to provide better channel estimates than quantization-based feedback schemes currently being standardized for third generation cellular systems.
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