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MMC-DIA: multi-metric clustering with differential interference alignment for improving small cell performance
Journal of Ambient Intelligence and Humanized Computing ( IF 3.662 ) Pub Date : 2020-07-28 , DOI: 10.1007/s12652-020-02387-z
D. Prabakar , V. Saminadan

Interference in small cells occurs due to the interoperability of different wireless communication technologies. Uncontrolled interference defaces the increasing user density and subscriber services. Therefore, interference management is mandatory to balance user service and performance enhancements. In this paper, multi-metric clustering with differential interference alignment (MMC-DIA) for leveraging the performance of small cell users is presented. This proposed technique operates in two phases namely clustering and differential interference alignment. In the clustering process, sum-rate maximization objective based grouping of small cell users is performed to retain the efficiency of communication. In a differential IA phase, the transmitted signal is analyzed for its first and second order of assessment on the basis of transmitter–receiver communication interval. Pre-coding and cancellation matrix over the signal vectors are imposed in the periodic time intervals for improving the degree of freedom (DoF) and thereby retaining the efficiency of the system. This is applicable for both the first and second order signal derivatives to handle inter and intra cluster interference along with the objective satisfaction. The performance of the proposed technique is compared for sum-rate, spectral efficiency, and DoF with the existing methods and non-clustering method respectively. From the comparative analysis, the proposed MMC-DIA is found to improve spectral efficiency and sum rate by 6.84% and 11.18% respectively. Similarly, with respect to the varying transmit power, the proposed MMC-DIA achieves 5.85% and 6.292% better spectral efficiency and sum rate.



中文翻译:

MMC-DIA:具有差分干扰对准功能的多指标群集,可改善小型蜂窝小区的性能

由于不同的无线通信技术之间的互操作性,因此会导致小型小区中的干扰。不受控制的干扰掩盖了日益增长的用户密度和订户服务。因此,干扰管理对于平衡用户服务和性能增强是必不可少的。在本文中,提出了利用差分干扰对齐(MMC-DIA)的多度量聚类,以利用小型小区用户的性能。这项提议的技术分两个阶段运行,即聚类和差分干扰对准。在聚类过程中,执行基于总和率最大化目标的小小区用户分组,以保持通信效率。在微分IA阶段,根据发射器-接收器的通信间隔,分析发射信号的第一阶和第二阶评估。在周期时间间隔内施加信号矢量上的预编码和消除矩阵,以提高自由度(DoF),从而保持系统效率。这适用于一阶和二阶信号导数,以处理集群间和集群内干扰以及客观满意度。将所提技术的性能分别与现有方法和非聚类方法的总速率,频谱效率和自由度进行了比较。通过比较分析,发现拟议的MMC-DIA分别将频谱效率和求和率提高了6.84%和11.18%。同样,对于变化的发射功率,

更新日期:2020-07-28
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