A channel feedback model with robust SINR prediction for LTE systems

In Long Term Evolution (LTE) systems, user equipment (UE) provides channel state information (CSI) to base station in terms of Channel Quality Indicator (CQI) feedback. However, in the conventional feedback model, Signal to Interference plus Noise Ratio (SINR) is assumed to be constant over a certain period. This assumption is generally not true, since wireless channels change over time. In this paper, a channel feedback model with robust SINR prediction is presented. The CQI difference statistics are also taken into consideration in the proposed channel feedback model. The simulation results show that the proposed model improves the accuracy of channel feedback information by using extrapolation when UE moves at low speed. Thus, no second-order SINR statistics are required as a-priori information.