LTE-A多小区协作分簇干扰抑制研究

In this paper, the study background is 4G LTE-A system. The aim of this research is to solve clustering problems when suppressing interference in large-scale network. The exist static clustering algorithm is not efficient in performance while the exist dynamic clustering algorithm costs to much system overhead. The study proposes a new half-static clustering algorithm based on user coverage. The method is selecting eNB base stations from the angel of users, and then solving a optimal equation with graph theory. The optimal goal is maximizing system throughput and the limiting condition is users' degree of freedom. At last, algorithm gets the final solution by modified Hungary algorithm. The proposed algorithm overcomes interference among clusters and keeps advantages of both static clustering and dynamic one. Simulation proves its system throughput inhances 8% compared with classic half-static clustering algorithm, and performance of cell-edge users also improves a lot.