Transceiver design for single-cell and multi-cell downlink multiuser MIMO systems

Abstract

This thesis designs linear transmitters and receivers (i.e., transceivers) for the downlink multiuser multiple input multiple output (MIMO) uncoordinated and coordinated base station (BS) systems. The transmitters and receivers are designed by assuming perfect and imperfect channel state information (CSI) at the BSs and mobile stations (MSs). Different signal to interference plus noise ratio (SINR), mean square error (MSE) and rate-based design criteria are considered. These design criteria are formulated by considering total BS, per BS antenna, per user, per symbol or a combination of per BS antenna and per user (symbol) power constraints. Centralized and distributed algorithms are proposed to examine the design criteria. For the total BS power constrained robust transceiver design problems, we propose uplink-downlink duality based solutions. These duality are established just by transforming the power allocation matrices (which are diagonal) from uplink to downlink channel and vice-versa. And for the more generalized power constrained robust transceiver design problems, we pro- pose new MSE downlink-interference duality based solutions. The new MSE downlink-interference duality are established by formulating the noise covariance matrices of the interference channels as fixed point and marginally stable (convergent) discrete time switched systems for weighted sum rate/MSE and rate/SINR/MSE-based problems, respectively. We have shown that the weighted sum rate maximization problem can be equivalently formulated as weighted sum MSE minimization problem with additional optimization variables and constraints. We also develop distributed transceiver design algorithms to solve weighted sum rate and MSE optimization problems for coordinated BS systems. The distributed transceiver design algorithms employ modified matrix fractional minimization and Lagrangian dual decomposition methods.(FSA - Sciences de l) -- UCL, 201