Abstract:

The shortcoming of the fixed signal to interference plus noise ratio (SINR： Signal to Interference plus Noise Ratio) threshold for collaborative user partition strategy is analyzed. Based on the system average rate and the edge user minimum average rate, the coordinated distance is defined. The algorithm of collaborative user division dynamic clustering joint multiuser scheduling using utility function is presented. And by applying Monte Carlo method, simulation is carried out. The simulation results show that the improved algorithm based on the utility function for collaborative user division can achieve a good balance between the system performance and the edge user performance.

Key words: coordinated multi-point, dynamic multiuser scheduling, collaborative user division, utility function