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A Novel Component Carrier Selection Algorithm for LTE-Advanced Heterogeneous Networks

机译:一种用于LTE-Advanced异构网络的新型分量载波选择算法

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Carrier aggregation has been proposed in LTE-advanced to support a wider bandwidth up to 100 MHz. The basic aggregated unit is called component carrier (CC). CCs are shared among different devices. Therefore it may cause performance degradation due to severe interference. A good CC assignment mechanism is desired to alleviate the interference problem. In this article, we propose a CC selection algorithm called Interference Management based Component Carrier (IMCC) scheduling to tackle the problem in heterogeneous networking environments of Femto Access Points (FAPs) and Macro-cell base stations. IMCC assigns CCs according to the entire system information, such as, location of FAPs, location of UEs (User Equipments), and the channel quality based on an evolutionary approach. In this way, IMCC mitigates the interference, and improves the system throughput. We construct a simulation environment with some stripes of apartments, which is often used to evaluate the performance of FAPs in prior works. The simulation results indicate the proposed approach outperforms other algorithms and show the effectiveness of IMCC.
机译:载波聚合已先进LTE被提出以支持更宽的带宽高达100MHz。基本聚合单元被称为分量载波(CC)。 CC被不同设备之间共享。因此,它可能会导致性能下降,由于严重的干扰。一个好的CC分配机制需要以减轻干扰问题。在这篇文章中,我们提出了一个所谓的干扰管理基于分量载波(IMCC)调度,以解决毫微微接入点(FAP的)和宏小区基站的异构网络环境的问题CC选择算法。根据整个系统信息IMCC受让人的CC,例如,FAP的位置,UE(用户设备)的位置,并且基于进化方法的信道质量。通过这种方式,IMCC减轻了干扰,提高系统的吞吐量。我们构造一个仿真环境与公寓的一些条纹,它经常被用来评估的FAP在之前作品中的表现。仿真结果表明该方法优于其他算法和显示IMCC的有效性。

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