On Robust Weighted Sum Rate Maximization for MIMO Interfering Broadcast Channels with Imperfect Channel Knowledge

In this letter, we propose robust transceiver designs for MIMO interfering broadcast channels while taking imperfect channel knowledge into consideration. By exploiting the relationship between the weighted sum rate (WSR) and the weighted sum mean square error, we design a transceiver that maximizes WSR subject to per base station power constraint. We also develop a transceiver design with lower complexity than the WSR maximization transceiver by adopting the power constraint per user. From simulation results, we confirm the resilience of both the proposed designs against imperfect channel knowledge.