超密集网络中基于分簇的资源分配方案

为了缓解超密集网络中毫微微小区基站（FBS）间的同层干扰，提出一种基于干扰受限的分簇及资源分配（ILCRA）方案，该方案用一个预先设置的干扰门限来限制每个FBS簇内成员的数量。首先采用聚合成簇的思想对FBS进行分簇，每个FBS簇中干扰权值之和不能超过干扰门限，然后在每个FBS簇内采用穷举图着色算法依次对用户设备（UE）进行分簇；其次，在每个FBS簇内独立地分配资源，根据UE簇在每个子信道上的吞吐量依次为每个UE簇分配子信道；最后在每个FBS簇内采用注水算法为簇内用户分配功率。仿真结果显示，该方案有效地限制了FBS簇内成员的数量，提升了系统的吞吐量和频谱效率。

A Clustering-Based Resource Allocation Scheme in Ultra Dense Network

To reduce the co-tier interference among femtocell base stations (FBSs) in ultra-dense networks (UDN), an interference-limited clustering and resource allocation (ILCRA) scheme is proposed, in which preset threshold is used to limit the number of FBS in each FBS cluster. Firstly, FBSs are divided into clusters, and the sum weights of interference in each FBS cluster can not exceed the preset threshold. Secondly, user equipment (UE) is clustered by exhaustive graph coloring algorithm in each FBS cluster. Then, the resources are allocated independently within each FBS cluster. Sub-channels are assigned according to the throughput of UE clusters on each sub-channel. Finally, the water-filling algorithm is performed to allocate power to UEs in each FBS cluster. The simulation results show that the proposed scheme effectively limits the number of FBS in each FBS cluster and improves system throughput and spectrum efficiency.