This paper focuses on robust transceiver design for throughput enhancement on the interference channel (IC),\nunder imperfect channel state information (CSI). In this paper, two algorithms are proposed to improve the\nthroughput of the multi-input multi-output (MIMO) IC. Each transmitter and receiver has, respectively, M and N\nantennas and IC operates in a time division duplex mode. In the first proposed algorithm, each transceiver adjusts\nits filter to maximize the expected value of signal-to-interference-plus-noise ratio (SINR). On the other hand, the\nsecond algorithm tries to minimize the variances of the SINRs to hedge against the variability due to CSI error.\nTaylor expansion is exploited to approximate the effect of CSI imperfection on mean and variance. The proposed\nrobust algorithms utilize the reciprocity of wireless networks to optimize the estimated statistical properties in two\ndifferent working modes. Monte Carlo simulations are employed to investigate sum rate performance of the\nproposed algorithms and the advantage of incorporating variation minimization into the transceiver design.
Loading....