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首页> 外文期刊>Indian Journal of Science and Technology >A Dual-Parameter Adaptive Timer Decision Algorithm for Load Balancing and Ping-Pong Handover Control in LTE Networks
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A Dual-Parameter Adaptive Timer Decision Algorithm for Load Balancing and Ping-Pong Handover Control in LTE Networks

机译:LTE网络中用于负载均衡和乒乓切换控制的双参数自适应定时器决策算法

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Background/Objectives: In order to increase spectral efficiency and lower handover signaling overhead in long term evolution network, load balancing optimisation and ping-pong handover avoidance is important. Methods/Statistical Analysis: Here, an algorithm that uses an adaptive timer was developed to run on the network. The network comprises of seven cells numbered 1, 2, 3, 4, 5, 6 and 7 respectively. Each cell is powered by a centrally placed cell equipped with omni-directional antennas to covers its cell area and neighboring cell-edge users. Receive signal strength and cell load estimates were jointly used to model the handover adaptive timer for decision accuracy. Findings: Findings were made the validation of the Key Performance Indicators (KPIs) using computer simulations. The KPIs of attention in this research were load balancing index of the network, number of unsatisfied users, cumulative number of ping-pong handover request, cumulative number of non-ping-pong handover request and average throughput of the cell. The results of our proposal out perform two other references cited in literature. In terms of load distribution index specifically, a 95% level was achieved after only 150 load balancing cycles. Conclusion/Improvements: The propose solution proves great for its ability to effectively detect ping-pong handover request and non-ping-pong handover request while load balancing decision process is in progress.
机译:背景/目的:为了提高长期演进网络中的频谱效率并降低切换信令开销,负载均衡优化和避免乒乓切换非常重要。方法/统计分析:在这里,开发了一种使用自适应计时器的算法以在网络上运行。该网络包括七个分别编号为1、2、3、4、5、6和7的小区。每个小区都由一个配有全向天线的中央放置的小区供电,以覆盖其小区区域和相邻小区边缘用户。接收信号强度和小区负载估计值共同用于对切换自适应计时器进行建模,以提高决策准确性。结果:使用计算机模拟对关键绩效指标(KPI)进行了验证。这项研究中关注的KPI包括网络的负载平衡指数,不满意的用户数,乒乓切换请求的累积数量,非乒乓切换请求的累积数量和小区的平均吞吐量。我们的建议的结果执行了文献中引用的其他两个参考。具体而言,在负载分配指数方面,仅经过150个负载平衡周期即可达到95%的水平。结论/改进:提出的解决方案证明了其在负载平衡决策过程中有效检测乒乓切换请求和非乒乓切换请求的能力。

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