异构网络解耦与耦合级联方案覆盖性能比较

Coverage Performance Comparison of DUDA and CUDA Schemes for Heterofeneous Network

针对异构网中上行链路(UL)和下行链路(DL)负载不平衡的问题,提出一种解耦UL/DL级联(DUDA)联合方案。通过双连接简化级联条件推导主、从UL接入距离的概率密度函数,利用随机几何工具推导DUDA UL覆盖概率的一般形式,从而得出整个网络的UL平均覆盖概率。数值仿真结果表明,与传统CUDA方案相比,DUDA联合方案的覆盖性能更优。

Aiming at the unbalanced load of Uplink(UL)and Downlink(DL)in the Heterogeneous Network(HetNet),this paper proposes a Decoupling UL and DL Association(DUDA)scheme.The probability density functions of primary and secondary UL access distances are derived by simplifying the association condition of Dual Connectivity(DC).The general form of the DUDA UL coverage probability is calculated by using stochastic geometry tool,thus obtaining the UL Average Coverage Probability(ACP)of the whole network.Numerical and simulation results show that compared with the traditional CUDA scheme,the coverage performance of the DUDA scheme is better.