Research On Co-Channel Interference Modeling And Cooperative Scheduling In Multi-Cell MIMO Downlink Communication Systems

The transmission rate can be effectively improved and the link symbol error rate can be efficiently reduced in point to point wireless transmission scenarios by deploying Multiple-input multiple-output (MIMO) technology. However, in realistic multi-cell multi-user cellular networks, the inherent characteristics of interference-limited MIMO systems,will conduce to a sharp decline in the user transmission rate and SINR performance in cell-edge areas. Therefore, there is a great challenge for the MIMO technology applying in commercial systems.Firstly, a closed-form co-channel interference model is proposed for multi-cell multiple-input multiple-output (MIMO) cellular networks in which interfering BSs are equiped with multiple antennas and spatially Poisson distributed operating on K G fading environment. Moreover, an exact normalized downlink average capacity, a closed-form expression of outage probability,and a expression of average block error rate are derived and analyzed in the corresponding chapter.Finally,the GPCUS (Greedy and Projection based Cooperative User Selection) scheduling algorithm is proposed for MISO multi-cell communication systems. A multi-cell MIMO simulation platform software is developed and can be used to evaluate cluster average capacity, SINR, and outage performance. The simulation results show that the cooperative transmission can obviously improve the capacity,outage probability,block error rate, especially in a scenario with a high density of interfering base stations.