The use of multiple antennas in a wireless communication system enables an efficient use of resources such as bandwidth and transmit power. On the other hand this advantage comes along with an increased complexity of the signal processing algorithms. In this thesis four popular optimization criteria for the design of transmit and receive filters in Multiple-Input Multiple-Output (MIMO) systems are covered. The optimum solutions to these problems are numerically very involved. Therefore, algorithms are presented that are less complex at small performance losses. Supplementary to simulations, analytical results of the algorithms' performances are derived for systems with infinite number of transmit antennas and infinite number of users or infinite number of receive antennas. In these large system limits, performance measures become deterministic and approximate well the average behavior in finite systems.
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The use of multiple antennas in a wireless communication system enables an efficient use of resources such as bandwidth and transmit power. On the other hand this advantage comes along with an increased complexity of the signal processing algorithms. In this thesis four popular optimization criteria for the design of transmit and receive filters in Multiple-Input Multiple-Output (MIMO) systems are covered. The optimum solutions to these problems are numerically very involved. Therefore, algorith...
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