Bipartite network based multi-cell clustering scheme in randomly located CoMP systems

摘要: Coordinated multiple point transmission (CoMP) technology becomes popular due to its potential for improving the performance of cell-edge UEs who undergo strong inter-cell interference (ICI). To fully exploit CoMP gain, appropriate method converge cells into cluster is a prerequisite. However, majority existing research are based on theoretical hexagonal cell grid model solely. In this paper, multi-cell clustering scheme which considers randomly located cellular network proposed. model, layout and generated via Poisson Point Process (PPP). The proposed takes full account both ICI suffered by distribution, mapping onto bipartite network, in two types nodes represent respectively, while edges quantified denote channel gain. Meanwhile projection introduced project Euclidean space where distance between easily calculated. Finally efficient K-mean utilized extract nearby out form clusters. hardly incurs extra overheads since only UE's large scale fading information required. simulation results demonstrate considerable throughput gain attained over comparing algorithm.