Sum-rate maximization for bi-directional full-duplex MIMO systems under multiple linear constraints

We consider a full-duplex bi-directional communication between two nodes that suffer from self-interference, where the nodes are equipped with multiple antennas. We focus on the effect of a residual self-interference due to independent and identically distributed (i.i.d.) channel estimation errors and limited dynamic ranges of the transmitters and receivers. We consider the design of source covariance matrices at the nodes for sum-rate maximization problem subject to multiple generalized linear constraints. The non-convex sum-rate optimization problem is solved using two sup-optimal techniques, which are proven to converge to a local optimum point. These algorithms exploit both spatial and temporal freedoms of the source covariance matrices of the multiple-input multiple-output (MIMO) links between the nodes to achieve higher sum-rate.