Fast Adaptive Handover using Fuzzy Logic for 5G Communications on High Speed Trains

Rasha El Banna, H. Elattar, Mohamed Mohamed Abou El-Dahab
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引用次数: 5

Abstract

Today, the high-speed train (HST) that operates at a speed of 400km/h or more is being deployed rapidly in various countries as a convenient and fast public transportation that carries tremendous numbers of passengers all over the world every day. Handover (HO) takes place too frequently due to the high speed of the HST. The failure rates of handover increase with the higher moving speed. This is the most crucial issue facing communication systems in high-speed trains, specifically for real-time services. Preserving seamless wireless connectivity on the high-speed train is the key to achieve optimum service quality for the users on board. To accomplish this goal, very high data rates are required as well as the ability to overcome several HO problems including latency, radio link failure (RLF) and ping-pong HO. Integrating the fifth mobile generation (5G) technology in high speed environments could have a beneficial impact on the HST communication. However, the 5G faces many problems due to the small coverage area of the cells. Therefore, a new proposed HST communication scheme that would overcome the previously mentioned problems could be a promising solution to achieve the feasibility of integrating the 5G technology in high speed environments in addition to maintaining seamless connectivity. A lot of research work was done to mitigate some of these problems, however, further work is still needed. In this thesis, we propose two techniques. The first technique is based on the fast target cell prediction. A method by which the upcoming target base station is predicted in advance. In high-speed trains the future trajectory of the train is easily predictable. Keeping the records of the previous handovers will aid in predefining the target base station in advance using the proposed handover cell prediction technique. The second technique is based on a proposed adaptive fuzzy logic algorithm that dynamically adjusts the optimum time to trigger of the handover procedure in order to overcome the radio link failure and the ping-pong handover. The key contribution of this work is realized by integrating the two proposed techniques to preserve seamless connectivity in HSTs. Using Matlab, the system performance is evaluated. The results obtained indicate that the proposed system successfully overcomes the previously mentioned problems. It decreases the latency and reduces the overhead disruption arising from the HO process achieving fast seamless communication in the high-speed environment. Moreover, it dynamically mitigates the ping-pong HO and the RLF simultaneously. It offers a customized solution to control the network performance based on the network operator preferences to achieve optimum network reliability via the proposed fuzzy logic algorithm.
基于模糊逻辑的高速列车5G通信快速自适应切换
如今,时速400公里以上的高速列车(HST)作为一种方便快捷的公共交通工具,在世界各地迅速部署,每天运送着大量的乘客。由于HST的高速度,切换(HO)发生得过于频繁。随着移动速度的增加,切换故障率也随之增加。这是高速列车通信系统面临的最关键的问题,特别是实时服务。在高速列车上保持无线无缝连接是为乘客提供最佳服务质量的关键。为了实现这一目标,需要非常高的数据速率以及克服几个HO问题的能力,包括延迟、无线电链路故障(RLF)和乒乓HO。在高速环境中集成第五代移动通信(5G)技术可能对HST通信产生有益的影响。然而,由于蜂窝覆盖面积小,5G面临许多问题。因此,一种新的HST通信方案可以克服前面提到的问题,除了保持无缝连接外,还可以实现在高速环境中集成5G技术的可行性,这是一种有希望的解决方案。为了减轻这些问题,已经做了大量的研究工作,但是,还需要进一步的工作。在本文中,我们提出了两种技术。第一种技术是基于快速靶细胞预测。提前预测即将到来的目标基站的一种方法。在高速列车上,列车的未来轨迹很容易预测。保留先前切换的记录将有助于使用所提出的切换小区预测技术预先定义目标基站。第二种技术是基于自适应模糊逻辑算法,动态调整切换过程的最佳触发时间,以克服无线电链路故障和乒乓切换。这项工作的关键贡献是通过集成两种提出的技术来实现hst的无缝连接。利用Matlab对系统性能进行了评估。实验结果表明,该系统成功地克服了上述问题。它降低了时延,减少了HO进程带来的开销中断,实现了高速环境下的快速无缝通信。同时对乒乓HO和RLF进行动态缓解。通过提出的模糊逻辑算法,根据网络运营商的偏好对网络性能进行定制化控制,以达到最优的网络可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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