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User-oriented graph based frequency allocation algorithm for densely deployed femtocell network

机译:基于用户图的密集型毫微微小区网络频率分配算法

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摘要

Femtocell is a promising technology for improving indoor coverage and offloading the macrocell. Femtocells tend to be densely deployed in populated areas such as the dormitories. However, the inter-tier interference seriously exists in the co-channel Densely Deployed Femtocell Network (DDFN). Since the Femtocell Access Points (FAPs) are randomly deployed by their customers, the interference cannot be predicted in advance. Meanwhile, new characteristics such as the short radius of femtocell and the small number of users lead to the inefficiency of the traditional frequency reuse algorithms such as Fractional Frequency Reuse (FFR). Aiming for the downlink interference coordination in the DDFN, in this paper, we propose a User-oriented Graph based Frequency Allocation (UGFA) algorithm. Firstly, we construct the interference graph for users in the network. Secondly, we study the conventional graph based resources allocation algorithm. Then an improved two steps graph based frequency allocation mechanism is proposed. Simulation results show that UGFA has a high frequency reuse ratio mean while guarantees a better throughput.
机译:Femtocell是一种有前途的技术,可以改善室内覆盖范围并减轻宏蜂窝的负担。 Femtocell倾向于密集地部署在诸如宿舍之类的人口稠密地区。但是,同层密集部署的毫微微小区网络(DDFN)中严重存在层间干扰。由于Femtocell接入点(FAP)由其客户随机部署,因此无法提前预测干扰。同时,诸如飞蜂窝半径短和用户数量少等新特征导致传统频率复用算法(如小数频率复用(FFR))的效率低下。针对DDFN中的下行干扰协调,本文提出了一种基于用户图的频率分配(UGFA)算法。首先,我们为网络中的用户构建干扰图。其次,我们研究了传统的基于图的资源分配算法。然后提出了一种改进的基于两步图的频率分配机制。仿真结果表明,UGFA具有较高的频率重用率平均值,同时可以保证更好的吞吐量。

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