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首页> 外文期刊>Wireless personal communications: An Internaional Journal >Dynamic Analysis of Load Balancing Algorithms in LTE/LTE-A HetNets
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Dynamic Analysis of Load Balancing Algorithms in LTE/LTE-A HetNets

机译:LTE / LTE-A Hetnets负载平衡算法的动态分析

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The performance of load balancing algorithms in HetNets is investigated in this paper. We performed a comparative analysis of three load balancing algorithms, including our previously proposed algorithm based on local optimization. We evaluated the offloading capabilities, fairness of the distribution of the load across base stations and spectral efficiency gains in the downlink. As opposed to previous studies were the evaluation of such algorithms was carried out under static conditions, in this study we performed the analysis in a dynamic and more realistic scenario. We quantified the effects of user mobility and the triggering of handovers during the load balancing process on the gains provided by the algorithms. We were able to show that the resulting gains in spectral efficiency after balancing the load are not as high as previously reported under static conditions. Our study shows that user mobility does affect the benefits of load balancing algorithms, particularly in the case of iterative algorithms. However, balancing the load in a HetNet still leads to faster downlink data rates, up to 80% gain for cell edge users was achieved according to our study. Our results show that our load balancing algorithm was able to provide similar benefits compared to the other two algorithms, however our approach is substantially less complex. Additionally, our load balancing algorithm was superior in terms of its practicality due to a minimum level of coordination and exchange of information among base stations.
机译:本文研究了Hetnets中负载平衡算法的性能。我们对三个负载平衡算法进行了比较分析,包括基于本地优化的先前提出的算法。我们评估了卸载能力,在基站上的负载分配的公平性和下行链路中的光谱效率提升。与之前的研究相反,在静态条件下进行了这种算法的评估,在这项研究中,我们在动态和更现实的情景中进行了分析。我们在算法提供的增益期间量化了用户移动性和触发切换的影响。我们能够表明,在平衡负载之后,通过在静态条件下先前报道的频谱效率在频谱效率下产生的增益。我们的研究表明,用户移动性确实影响了负载平衡算法的益处,特别是在迭代算法的情况下。然而,根据我们的研究,平衡HetNet中的负载仍然导致更快的下行数据速率更快地导致更快的下行数据速率,最高可达80%的用户边缘用户增益。我们的结果表明,与其他两种算法相比,我们的负载平衡算法能够提供类似的益处,但是我们的方法基本上不太复杂。此外,由于基站之间的最小协调和信息交换,我们的负载平衡算法在其实用性方面优越。

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