Linear Transceiver Design for Full-Duplex Multi-Cell MIMO Systems

We consider a multi-cell multiple-input multiple-output full-duplex (FD) system, where multiple FD capable base stations (BSs) serve multiple mobile users operating in FD mode. The self-interference at the BSs and users, and co-channel interference (CCI) between all the nodes (BSs and users) in the system are both taken into account. We consider the transmit and receive filter design for sum-rate maximization problem subject to sum-power constraints at the BSs and individual power constraints at each user of the system under the limited dynamic range considerations at the transmitters and the receivers. By reformulating this non-convex problem as an equivalent multi-convex optimization problem with the addition of two auxiliary variables, we propose a low complexity alternating algorithm that converges to a stationary point. Since this sum-rate maximization results in starvation of users in terms of resources depending on the power of the self-interference and CCI channels, we modify the sum-rate maximization problem by adding target data rate constraints on each user, and propose an algorithm based on Lagrangian relaxation of the rate constraints.