Iterative linear MMSE transmit and receive strategies for cellular MIMO networks

We present two iterative algorithms that jointly optimize the transmit and receive filters with respect to the mean square error (MSE) in the downlink of a cellular multi-user multiple input single output (MISO) system for linear precoding. One algorithm is gradient-based and allows for cooperation among base stations, the second algorithm does not allow for cooperation between base stations and regards the base stations as competing players in a game. Furthermore, we propose a ¿smart¿ initialization which outperforms all other approaches we analyze without any need for iteration.