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首页> 外文期刊>International Journal of Innovative Computing Information and Control >TARGET CELL SELECTION SCHEME USING LMS ALGORITHM FOR LOAD ESTIMATION OF NEIGHBORING ENBS IN 3GPP LTE SYSTEM
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TARGET CELL SELECTION SCHEME USING LMS ALGORITHM FOR LOAD ESTIMATION OF NEIGHBORING ENBS IN 3GPP LTE SYSTEM

机译：使用LMS算法的目标小区选择方案用于3GPP LTE系统中近邻ENBS的负载估计

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摘要

Handover failure probability is one of the important factors to determine the handover performance in cellular radio system such as the 3rd generation partnership project (SGPP) long term evolution (LTE). To minimize the handover failure probability, the Hybird target cell selection (TCS) scheme considering both the received signal strength (RSS) and load information of neighboring evolved Node Bs (eNBs) based on X2 interface in SGPP LTE system has been introduced. However, the amount of cell load in serving and neighboring eNBs can be drastically changed over time due to the handover operation, so the Hybrid TCS scheme should consider the cell load change between the serving and neighboring eNBs in the handover procedure for handover preparation. This paper proposes a modified Hybrid TCS scheme based on the least mean square (LMS) algorithm for estimating the load status of the neighboring eNBs in order to mitigate the handover failure probability. The proposed TCS scheme chooses the target eNB with minimum load based on the LMS algorithm and providing higher RSS. Experiment results reveal the effectiveness of the proposed scheme and its advantages over the conventional schemes in terms of handover failure probability.
机译：切换失败概率是确定诸如第三代合作伙伴计划（SGPP）长期演进（LTE）之类的蜂窝无线系统中的切换性能的重要因素之一。为了最小化切换失败概率，已经引入了在SGPP LTE系统中考虑了基于X2接口的相邻演进节点B（eNB）的接收信号强度（RSS）和负载信息的混合目标小区选择（TCS）方案。然而，由于切换操作，服务eNB和相邻eNB中的小区负载量可以随着时间而急剧变化，因此，混合TCS方案应在切换过程中考虑服务eNB和相邻eNB之间的小区负载变化以进行切换准备。本文提出了一种基于最小均方（LMS）算法的改进混合TCS方案，用于估计相邻eNB的负载状态，以减轻切换失败的可能性。提出的TCS方案基于LMS算法选择负载最小的目标eNB，并提供更高的RSS。实验结果表明，该方案的有效性和相对于传统方案的优势在于切换失败概率。

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