Maximizing First Order Approximate Mean of SINR under Imperfect Channel State Information for Throughput Enhancement of MIMO Interference Networks

This paper proposes a new algorithm to improve the throughput of the MIMO interference channel, under imperfect channel state information (CSI). Each transmitter and receiver has respectively and antennas and network operates in a time division duplex mode. With the knowledge of channel estimation error variance, mean of signal-to-interference-plus-noise ratio (SINR) is approximated. Each transceiver adjusts its filter to maximize the expected value of SINR. Formulation of maximization problem is convex. The proposed New Approach for Throughput Enhancement under imperfect CSI utilizes the reciprocity of wireless networks to maximize the estimated mean. The sum rate performance of the proposed algorithm is verified using Monte Carlo simulations. Keyword. Channel state information; interference channel; robust; throughput; transceiver.