Handover Optimization Algorithm in LTE High-Speed Railway Environment

Fang, Yang; Deng, Haixiao; Jiang, Fangqing; Xu, Dianguo

doi:10.1007/s11277-015-2704-8

Cited by 15 publications

(15 citation statements)

References 7 publications

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“…Decision making for HO triggering is the main part of handover schemes. Research on HO schemes is mainly based on modifying values of TTT, offset and/or hysteresis to improve performance of the scheme based on defined indices 34‐37 . A new method is proposed in Reference 37 that operates when the speed exceeds 120 Km/h and acts as the A3 scheme below that speed.…”

Section: Preliminaries (Background and Related Work)mentioning

confidence: 99%

An enhancedLTEhandover scheme for high‐speed railway application

Sadrabadi

Ardalani

Bakhshi

2021

Trans Emerging Tel Tech

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High‐speed railway (HSR) is one of the most important modes of passenger transport with many advantages, such as; safety, high capacity, short intervals, and comfort. To provide high speed mobile data to the passengers of HSR for infotainment services, the best option is LTE or LTE‐R. The LTE‐R is a railway specialized network under development. The very high speed of trains in HSR, which are far faster than conventional commuters, counteracts the seamless data service and deteriorates the QoS which is mainly due to handover (HO) failure when the user equipment (UE) is moving very fast. Conventional LTE HO schemes are not designed for very high speed of HSR. Some research studies were done to provide HO schemes with more adaptation with the HSR condition but the desired specifications are not fully satisfied. In this article, we have devised a new S3 scheme for LTE HO based on time‐to‐trigger parameter in which the required ETSI's HO success rate standard at very high speed moving UE is met with a good safety margin. In addition, the presented scheme shows better performance in terms of HO latency, reference signal received power gap and handover operation probability. To do the job, an accurate mathematical analysis was developed for the proposed S3 scheme, conventional A3 and A4 schemes and the H2 scheme that we found to be the best one out of previous research studies. The results obtained have been verified by simulations.

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Section: Preliminaries (Background and Related Work)mentioning

confidence: 99%

An enhancedLTEhandover scheme for high‐speed railway application

Sadrabadi

Ardalani

Bakhshi

2021

Trans Emerging Tel Tech

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“…If handover does not occur quickly, the QoS may degenerate below an acceptable level [12]. Authors in [13,14] investigated handover algorithms in LTE high-speed railway networks. The papers focused on optimization of A3 event-based HO algorithms especially for high-speed velocity which the link quality may worsen and the wireless channel environment may become unstable with the increase of velocity.…”

Section: Research Workmentioning

confidence: 99%

Performance evaluation of UE-controlled intelligent handover algorithm for natural disaster

Yusof¹,

Azhar²,

Ya’acob³

2020

IJEECS

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<span>This paper proposes a UE-controlled intelligent handover algorithm for natural disaster. In this handover algorithm, two variables known as modified Received Signal Strength (RSSm) and Left over Power (LoP) are identified. The RSSm is an improved formulation from RSS where distance fraction coefficient has been introduced. The fraction coefficient of 0.2 is used where the affected areas is reduced so that the users can receive good signal quality due to its location near to the base station. Meanwhile, the LoP also has been investigated to control power consumption of base station. In this research, 80% RSSm and 20% LoP has been chosen for the proposed handover algorithm as it can maintain good quality of service (QoS) for all users and also can prolong battery life. From the simulation results obtained, the average number of handovers for the proposed handover algorithm outperformed the conventional natural disaster handover algorithm.</span>

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“…Los algoritmos basados en dirección y localización agrupan algoritmos que trabajan con la ubicación de los UE mediante GPS; conociendo la topología de la red y el movimiento de los UE, buscan mejorar el proceso de traspaso (Chen, Kim, & Yoo, 2014;Chang, Wang, Hu, & Kao, 2013;Lee, Cho, & Kim, 2005). Por su parte, Chen et al, (2014); Chang et al, (2013) y Wang, Kao, Hsiao, & Chang (2014) proponen una técnica de parameters (Lee, Gil, & Kim, 2010;Yang, Deng, Jiang, & Deng, 2015;Balan, Jansen, & Sas, 2011;Jansen, Balan, & Turk, 2010). Equally, Isa, Baba, and Yusof (2015) describe methods for the handover optimization such as the modification in the RSS threshold and hysteresis, modification of the TTT, and modification of the filtering action for A3 events in the handover.…”

Section: Handover Algorithms In Lte Networkunclassified

“…Los algoritmos basados en auto optimización agrupan algoritmos en los cuales se realiza un proceso de auto ajuste de los parámetros de red (Lee, Gil, & Kim, 2010;Yang, Deng, Jiang, & Deng, 2015;Balan, Jansen, & Sas, 2011: Jansen, Balan, & Turk, 2010. Por su parte, Isa, Baba, y Yusof (2015) describen, como métodos para la optimización del traspaso: la modificación del umbral de RSS y la histéresis, la modificación del TTT y la modificación del filtrado de eventos A3 en el procedimiento de traspaso.…”

Section: Handover Algorithms In Lte Networkunclassified

Handover Algorithms in LTE Networks for Massive Means of Transport

Narváez

Bonilla

2018

sist.telemat.

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Handover in LTE occurs when a device moves from the cell coverage serving it towards another; a process where the user established session must not be interrupted due to this cell change. Handovers in LTE are classified as hard ones, since the link with the serving cell is interrupted before establishing the new link with the target cell. This entails a larger failure risk and, consequently, a potential deterioration in the quality of service. This article presents a review of the handover algorithms in LTE, focusing on the ones oriented to massive means of transport. We show how the new algorithms offer a larger success in handovers, increasing the networkdata rate. This indicates that factors such as speed, position, and direction should be included in the algorithms to improve the handover in means of transport. We also present the algorithms focused on mobile relays such as an important study field for future research works.

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Handover Optimization Algorithm in LTE High-Speed Railway Environment

Cited by 15 publications

References 7 publications

An enhancedLTEhandover scheme for high‐speed railway application

An enhancedLTEhandover scheme for high‐speed railway application

Performance evaluation of UE-controlled intelligent handover algorithm for natural disaster

Handover Algorithms in LTE Networks for Massive Means of Transport

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