An Investigation on Cooperative Interference Prediction in LTE-A Indoor Hotspot Scenarios

Dense deployment of low power base station (BS) in indoor hotspots is considered as a straightforward solution for handling the ever increasing demand for high-speed wireless services. However, network densification comes with the cost of increased interference. Another related consequence would be that the interference level gets more unstable, which seriously affect the accuracy of uplink link adaptation. Cooperative interference prediction (CIP) has been proposed to alleviate the issue. Nevertheless, the effects of CIP depend on various factors which have not been fully explored. In this paper, we investigate how data retransmission and power control affect the performance of CIP in indoor hotspot scenarios via intensive system level simulations. It is confirmed that there are strong correlations between retransmission rate, power control and the performance of CIP. These simulation results provide insights into how dense indoor network can be optimized using CIP.