Optimum Transmit Strategies for Gaussian Multi-user MIMO Systems with Partial CSI and Noisy Channel Estimation

Multiple antenna wireless communications systems are known to provide very large data rates, when perfect channel state information (CSI) is available at the receiver and the transmitter. Availability of perfect CSI at the receiver requires the receiver to perform a noise-free, multi-dimensional channel estimation…


1 Introduction
1.1 Contributions of the Thesis
2 Transmit Directions and the Optimality of Beamforming
2.1 System Model
2.2 Finite System Analysis
2.2.1 Covariance Feedback at the Transmitters
2.2.2 Mean Feedback at the Transmitters
2.3 Asymptotic Analysis
2.3.1 No CSI at the Transmitters
2.3.2 Covariance Feedback at the Transmitters
2.3.3 Mean Feedback at the Transmitters
2.4 Numerical Results
2.5 Conclusions
2.6 Appendix
2.6.1 Proofs of Lemmas 1 and 2
2.6.2 General Receive Antenna Correlation Matrix
3 Optimum Power Allocation Policies
3.1 System Model
3.2 Power Allocation for Single-User MIMO
3.3 Convergence Proof
3.3.1 Comparison to Water-filling
3.4 Power Allocation for Multi-User MIMO
3.5 Numerical Results
3.6 Discussions
3.7 Conclusions
3.8 Appendix
3.8.1 Proof of Lemma 3
3.8.2 Proof of Lemma 5
4 Channel Estimation and Noisy CSI at the Receiver
4.1 System Model
4.2 Joint Optimization for Single-user MIMO
4.2.1 Training and Channel Estimation Phase
4.2.2 Data Transmission Phase
4.2.3 Numerical Results for Single-user MIMO
4.3 Joint Optimization for Multi-user MIMO
4.3.1 Training and Channel Estimation Phase
4.3.2 Data Transmission Phase
4.3.3 Numerical Results for MIMO-MAC
4.4 Conclusions
5 Conclusions

Author: Soysal, Alkan

Source: University of Maryland

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