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We address the max-min fairness design problem for a MU-MISO system withpartial Channel State Information (CSI) at the Base Station (BS), consisting ofan imperfect channel estimate and statistical knowledge of the estimationerror, and perfect CSI at the receivers. The objective is to maximize theminimum Average Rate (AR) among users subject to a transmit power constraint.An unconventional transmission scheme is adopted where the Base Station (BS)transmits a common message in addition to the conventional private messages. Insituations where the CSIT is not accurate enough to perform interferencenulling, individual rates are assisted by allocating parts of the commonmessage to different users according to their needs. The AR problem istransformed into an augmented Average Weighted Mean Square Error (AWMSE)problem, solved using Alternating Optimization (AO). The benefits ofincorporating the common message are demonstrated through simulations.

Achieving Max-Min Fairness for MU-MISO with Partial CSIT: A Multicast Assisted Transmission