杨季, 周朋光. 超密集网络中基于簇内用户分组的资源分配算法[J]. 微电子学与计算机, 2018, 35(4): 37-41.
引用本文: 杨季, 周朋光. 超密集网络中基于簇内用户分组的资源分配算法[J]. 微电子学与计算机, 2018, 35(4): 37-41.
YANG Ji, ZHOU Peng-guang. Group-based Intra-clustering Resource Allocation in Ultra-dense Networks[J]. Microelectronics & Computer, 2018, 35(4): 37-41.
Citation: YANG Ji, ZHOU Peng-guang. Group-based Intra-clustering Resource Allocation in Ultra-dense Networks[J]. Microelectronics & Computer, 2018, 35(4): 37-41.

超密集网络中基于簇内用户分组的资源分配算法

Group-based Intra-clustering Resource Allocation in Ultra-dense Networks

  • 摘要: 针对超密集网络中同层干扰和资源管理的问题, 提出一种基于簇内分组的资源分配算法.该算法分为两个模块: 第一模块是在FBS(Femtocell Base Station)分簇的基础上, 再进行FUE(Femtocell User Equipment)组群的分割; 第二模块是在为组群分配最优信干噪比资源的前提条件下, 按照组内用户优先级为用户择优分配资源.仿真表明, 该算法在兼顾了FUE需求的同时, 有效地减小了超密集网络中同层干扰, 提升了FUE的吞吐量和频谱效率, 改善了系统的整体性能.

     

    Abstract: In order to solve the problem of interference and resource management in ultra-dense networks (UDN), a resource allocation algorithm based on intra-clustering grouping is proposed. The algorithm is divided into two modules: the first module is splitting FUE (Femtocell User Equipment) group on the basis of the clustering of FBS (Femtocell Base Station); the second module is firstly satisfying the precondition of resource allocation of the optimal SINR for FUE group, then to allocate resources for FUE according to the priority in same. The simulation results show that the proposed algorithm can reduce the interference of the same FUE group. Simulation shows that the algorithm effectively reduce the co-tier interference in UDN, improves the throughput and spectrum efficiency of the FUE, promotes overall system performance and satisfies the requirement of FUE at the same time.

     

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