杜中涛, 解志斌. 两层异构网络中基于分簇DIA的干扰消除算法[J]. 微电子学与计算机, 2015, 32(7): 107-111. DOI: 10.19304/j.cnki.issn1000-7180.2015.07.025
引用本文: 杜中涛, 解志斌. 两层异构网络中基于分簇DIA的干扰消除算法[J]. 微电子学与计算机, 2015, 32(7): 107-111. DOI: 10.19304/j.cnki.issn1000-7180.2015.07.025
DU Zhong-tao, XIE Zhi-bin. Interference Elimination Algorithm Based on Clustering DIA in Two-tier Heterogeneous Networks[J]. Microelectronics & Computer, 2015, 32(7): 107-111. DOI: 10.19304/j.cnki.issn1000-7180.2015.07.025
Citation: DU Zhong-tao, XIE Zhi-bin. Interference Elimination Algorithm Based on Clustering DIA in Two-tier Heterogeneous Networks[J]. Microelectronics & Computer, 2015, 32(7): 107-111. DOI: 10.19304/j.cnki.issn1000-7180.2015.07.025

两层异构网络中基于分簇DIA的干扰消除算法

Interference Elimination Algorithm Based on Clustering DIA in Two-tier Heterogeneous Networks

  • 摘要: 由Femtocell和Macrocell构成的两层异构网络可以有效提高系统容量,但也引入了较为严重的干扰问题.对此提出一种基于分簇的分布式干扰对齐(Distribute Interference Alignment,DIA)算法.算法以图论中的边权值机制为基础,以边权值最大化为准则对Femtocell网络进行分簇.其次,针对某一确定的簇,选出对该簇产生干扰最强的宏用户并将其与该簇结合构成一个整体,最后利用DIA技术对该整体进行跨层干扰消除.所提算法在保证系统性能的同时,有效满足了密集部署情况下的可行性条件要求.仿真结果表明,所提算法具有较好的信道容量性能,适用于实际的两层异构网络.

     

    Abstract: Two-tier heterogeneous networks composed of femtocell and macrocell can improve the system capacity effectively. A distributed IA algorithm is proposed based on clustering. The proposed algorithm achieves clustering of femtocell network, which based on the mechanism of the edge weights of graph theory and the criterion of maximum the edge weights. Moreover, the macrocell user, which causes the strongest interference, is selected to form a whole with a certain cluster. Finally, the DIA technology is used to eliminate the interference of the whole. The proposed algorithm guarantees the performance of femtocell network system, meets the requirements of the feasibility conditions of dense deployment case effectively. Simulation results show that the proposed algorithm has better performance of channel capacity and is suitable for the actual two-tier heterogeneous networks.

     

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