Relevant bibliographies by topics / Handover parameters

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Handover parameters'

Author: Grafiati
Published: 4 June 2025
Last updated: 15 July 2025

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Journal articles on the topic "Handover parameters"

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Mina, Malekzadeh, and Rezaiee Fatemeh. "Impact of Inter-eNodeB Handover Parameters on Performance Optimization of LTE Networks." Indonesian Journal of Electrical Engineering and Computer 9, no. 1 (2018): 212–20. https://doi.org/10.11591/ijeecs.v9.i1.pp212-220.

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Handover, as a resource consuming process, is an important issue in mobile communications which can highly affect the overall performance of the LTE networks. Since the handover process mainly relies on four main entry condition parameters, optimizing these parameters will in turn improve the handover process. In this work, we investigate the effectiveness of the four handover parameters by measuring the resulting downlink throughput and number of the required handovers. We furthermore determine the optimized values of the parameters through implementing different sets of experiments. Finally, by applying the obtained optimized parameters on two main LTE handover algorithms i.e. A3RSRP and A2A4RSRQ, their performance is compared regarding to different speeds of the mobile equipment. We determine how to accurately select the optimal settings for the parameters so that greater LTE performance can be achieved.
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Malekzadeh, Mina, and Fatemeh Rezaiee. "Impact of Inter-eNodeB Handover Pameters on Performance Optimization of LTE Networks." Indonesian Journal of Electrical Engineering and Computer Science 9, no. 1 (2018): 212. http://dx.doi.org/10.11591/ijeecs.v9.i1.pp212-220.

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<span>Handover, as a resource consuming process, is an important issue in mobile communications which can highly affect the overall performance of the LTE networks. Since the handover process mainly relies on four main entry condition parameters, optimizing these parameters will in turn improve the handover process. In this work, we investigate the effectiveness of the four handover parameters by measuring the resulting downlink throughput and number of the required handovers. We furthermore determine the optimized values of the parameters through implementing different sets of experiments. Finally, by applying the obtained optimized parameters on two main LTE handover algorithms i.e. A3RSRP and A2A4RSRQ, their performance is compared regarding to different speeds of the mobile equipment. We determine how to accurately select the optimal settings for the parameters so that greater LTE performance can be achieved. </span>
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Nur, Akbar. "The Effect of Neighboring Cells on Handover Decision Making Based on Fuzzy in the WCDMA Network." Jurnal Jartel: Jurnal Jaringan Telekomunikasi 5, no. 2 (2017): 52–58. http://dx.doi.org/10.33795/jartel.v5i2.205.

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In channel transfer (handover) from one Base Station to another Base Station. The purpose of this final project is to analyze the effect of neighboring cells on handover decisions on WCDMA networks based on fuzzy, in this handover process, handover decisions use several parameters related to handovers and supported by fuzzy logic. Relatively high user mobility demands a guarantee until the use of the service ends, the impact of user mobility results in the output being analyzed for this handover decision to help give consideration to the optimal handover decision. The method used is Tsukamoto fuzzy logic, for decision making, while the measurement method In the field, the drive test method is carried out by measuring the signal level around the base station area, and comparing the results of the two methods. Comparison of handover decisions between the results of fuzzy logic and measurements, for example for the results of no proper in fuzzy logic, yields a rate value of 0% for soft handovers and 100% for hard handovers, and for proper results in fuzzy logic, yields a rate value for measurement. 95.22% for soft / soft handover and 4.72% for hard handover
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Yuhanef, Afrizal, Zurnawita -, Fitri Amalia, Nasrul -, and Ardi Syawaldipa. "Analysis of Handover Priority in Intra Technology Radio Access." International Journal of Advanced Science Computing and Engineering 5, no. 1 (2023): 1–7. http://dx.doi.org/10.62527/ijasce.5.1.109.

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A handover strategy is required to ensure connection continuity for cellular network users due to user mobility. Handovers on the same frequency (intra-frequency) and handovers on other frequencies (inter-frequencies) are conceivable in the Intra Radio Access Technology network. The network must be able to give the best quality and optimal bandwidth so that consumers can keep their connection. Most cells have more than one bandwidth channel. A test was performed in this study to determine the influence of priority handover on intra-frequency LTE handover on signal strength and throughput. This study is based on actual measurement findings from the deployed 4G LTE network transceiver device, which contains several carriers for each eNodeB. TEMS Pocket, a mobile gadget, was used to collect data for measurements. For analysis purposes, the parameters RSRP, throughput, frequency band, serving cell identification or PCI (Physical Cell Identity), and event handover are employed. In the inter-frequency LTE handover, there are two priority handovers: handovers from lower bands to higher bands (high priority) and handovers from higher bands to lower bands (low priority). When a low-priority handover happens, the RSRP value and throughput increase, while a high-priority handover causes the RSRP value to decrease.
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Rebin Abdullah Saeed. "Handover in a mobile wireless communication network –A Review Phase." International Journal of Computer Communication and Informatics 1, no. 1 (2019): 6–13. http://dx.doi.org/10.34256/ijcci1912.

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Mobility is the features of mobile communication that makes it desirable by all and varied. The whole world is now attractive in wireless communication as it provides users' ability to communicate on-the-go. IT is accomplished by transferring users from a radio network to another. This process is called handover. Handover occurs by adjusting the duration of soft handovers, the size of the areas and either by cell crossing or by deterioration in the signal quality of the current channel — the brief overview of handover, Handover in WiMAX and LTE, types of handover, handover types solutions, usually used handover parameters, some methods employed in the literature and I contemporary the convergent fact for continuance in the area of mobile wireless communication Handover.
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Azita Laily Yusof, Izarul Fizry Jaafar, Norsuzila Ya’acob, Nur Syaza Zainali, and Aiman Zainali. "Handover Network Selection for Vehicle in LTE-A Communication Networks." Journal of Advanced Research in Applied Sciences and Engineering Technology 31, no. 1 (2023): 373–82. http://dx.doi.org/10.37934/araset.31.1.373382.

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One of the challenges to achieving smooth communications in heterogeneous networks is to find the right balance between various handover parameters for network selection. The Receive Signal Strength (RSS) from a network's Point of Attachment (PoA) is the primary factor used in traditional approaches to network selection. Therefore, network selection is vital for a successful handover in the vehicle communications network. However, vehicles moving through such diverse networks faced difficulties like frequent unwanted handovers, selecting the wrong candidate networks for handovers, and taking too long to finish the drawn-out handover procedure, which results in failed handovers. All of these factors will impair the efficiency of the handover process, which will affect the smooth operation of the vehicles. Hence, the main idea of this research is to improve the handover network performance selection performance. The proposed work is for vehicles to self-evaluate a candidate list of Access Points (AP) that are located in the vehicle movement direction and select the best underlying candidate network. In this project, the network selection framework of the vehicle communications network with the distance between the target candidate and the trajectory of the vehicle movement was developed as well as the vehicle mobility information. The important parameters which are the relative direction index, proximity index and residence time index are chosen to identify the best candidate network. Once the target of the base station has been identified, then the optimum value of the distance is calculated using the Particle Swarm Optimization (PSO) technique to initiate the handover process. The performance of the proposed handover network selection is simulated and evaluated using MATLAB software. The results show that the proposed handover network selection method improved the successful handover rate as compared to the conventional method.
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Bathich, Ammar, Mohd Asri Mansor, Saiful Izwan Suliman, and Sinan Ghassan Abid Ali. "Q-Learning vertical handover scheme in two-tier LTE-A networks." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 6 (2020): 5824. http://dx.doi.org/10.11591/ijece.v10i6.pp5824-5831.

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Global mobile communication necessitates improved capacity and proper quality assurance for services. To achieve these requirements, small cells have been deployed intensively by long term evolution (LTE) networks operators beside conventional base station structure to provide customers with better service and capacity coverage. Accomplishment of seamless handover between Macrocell layer (first tier) and Femtocell layer (second tier) is one of the key challenges to attain the QoS requirements. Handover related information gathering becomes very hard in high dense femtocell networks, effective handover decision techniques are important to minimize unnecessary handovers occurred and avoid Ping-Pong effect. In this work, we proposed and implemented an efficient handover decision procedure based on users’ profiles using Q-learning technique in an LTE-A macrocell-femtocell networks. New multi-criterion handover decision parameters are proposed in typical/dense femtocells in microcells environment to estimate the target cell for handover. The proposed handover algorithms are validated using the LTE-Sim simulator under an urban environment. The simulation results showed noteworthy reduction in the average number of handovers.
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Nayak, Sachin. "ns-3 Simulation Based Exploration of LTE Handover Optimization." ICST Transactions on Mobile Communications and Applications 7, no. 4 (2023): e4. http://dx.doi.org/10.4108/eetmca.v7i4.2967.

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Network simulator (ns-3) is a reputed simulation platform for performance evaluation of cellular networks. In this work, we explore the use of ns-3 for tracking of successful handovers (HO) and handover failures and consequent impact on 4G LTE network throughput with the aim of discovering new analytical relations about HOs and new methods to optimize the resulting throughput. Decreased cell sizes in newer generation networks lead to increasing number of handovers and handover failures that have significant impact. We begin by reviewing analytical models in the literature that aim to predict number of HO and HO failures in terms of HO control and network parameters. We initially conduct a suite of exhaustive validation studies of such analytical models, based on the simulation execution manager (SEM) for ns-3 for parallelization. Via this, we discover new causal relations relating HO failures and choice of HO control parameters on network throughput. Based on these initial results, we next evaluate the application of Gaussian process regression for prediction of instantaneous network throughput and bandit algorithms as an effective mechanism to optimize throughput over time. The new relations discovered help better understand the impact of input handover control parameters on the number of handovers and handover failures allowing us to fine tune them. The new optimization and prediction methods discovered give good gains over baseline algorithms and help accurately predict throughput respectively.
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Hwang, Wen-Shyang, Teng-Yu Cheng, Yan-Jing Wu, and Ming-Hua Cheng. "Adaptive Handover Decision Using Fuzzy Logic for 5G Ultra-Dense Networks." Electronics 11, no. 20 (2022): 3278. http://dx.doi.org/10.3390/electronics11203278.

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With the explosive increase in traffic volume in fifth-generation (5G) mobile wireless networks, an ultra-dense network (UDN) architecture, composed of highly concentrated millimeter-wave base stations within the fourth-generation (4G) system, has been developed. User equipment (UE) may encounter more frequent handover opportunities when moving in a UDN. Conventional handover schemes are too simple to adapt to the diverse handover scenarios encountered in 5G UDNs because they consider only UE signal strength. Unnecessary handovers aggravate the ping-pong effect and degrade the quality of service of cellular networks. Fuzzy logic (FL) is considered the best technique to unravel the handover problem in a high-density scenario of small cells for 4G/5G networks. In this paper, we propose an FL-based handover scheme to dynamically adjust the values of two handover parameters, namely handover margin (HOM) and time to trigger (TTT), with respect to each UE. The proposed scheme, abbreviated as FLDHDT, has dynamic adjustment of TTT in addition to HOM by using the signal to interference plus noise ratio and horizontal moving speed of the UE as inputs to the FL controller. To demonstrate the effectiveness and superiority of FLDHDT, we perform simulations using the well-known ns-3 simulator. The performance measures include the number of handovers, overall system throughput, and ping-pong ratio. The simulation results demonstrate that FLDHDT improves the handover performance of 5G UDNs in terms of the number of handovers, ping-pong ratio, and overall system throughput compared to a conventional handover scheme, namely Event A3, and an FL-based handover scheme with dynamic adjustment of only HOM.
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Rehman, Aziz Ur, Mardeni Bin Roslee, and Tiang Jun Jiat. "A Survey of Handover Management in Mobile HetNets: Current Challenges and Future Directions." Applied Sciences 13, no. 5 (2023): 3367. http://dx.doi.org/10.3390/app13053367.

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With the rapid growth of data traffic and mobile devices, it is imperative to provide reliable and stable services during mobility. Heterogeneous Networks (HetNets) and dense networks have been identified as potential solutions to address the upcoming capacity crunch, but they also pose significant challenges related to handover optimization. This paper presents a comprehensive review of recent handover decision algorithms in HetNets, categorizing them based on their decision techniques and summarizing their input parameters, techniques, and performance evaluations. Our study highlights the technical challenges and opportunities related to handovers in HetNets and dense cellular networks and provides key findings from recent studies. The significance of this survey is to provide a comprehensive overview of handover decision algorithms in HetNets and dense cellular networks, which can aid in the development of more advanced handover optimization approaches.
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Dissertations / Theses on the topic "Handover parameters"

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Zhang, Baoling. "Handover control parameters optimisation in LTE networks." Thesis, University of Sheffield, 2018. http://etheses.whiterose.ac.uk/22316/.

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In the past few years, the demand for data traffic has increased explosively, in order to meet such a demand in traffic volume, small cell networks have been introduced. With the wide adoption of small cells, the densification of small cell deployment has become an unavoidable trend. However, such density in small cell deployment brings various problems for the network operators, among which the handover issue is one of the most critical. In order to tackle the handover problem in heterogeneous networks (HetNets), this thesis was mainly concerned with the system-level handover control parameters optimisation.
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Zhang, Xu. "Cell identity allocation and optimisation of handover parameters in self-organised LTE femtocell networks." Thesis, University of Bedfordshire, 2013. http://hdl.handle.net/10547/335874.

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Femtocell is a small cellular base station used by operators to extend indoor service coverage and enhance overall network performance. In Long Term Evolution (LTE), femtocell works under macrocell coverage and combines with the macrocell to constitute the two-tier network. Compared to the traditional single-tier network, the two-tier scenario creates many new challenges, which lead to the 3rd Generation Partnership Project (3GPP) implementing an automation technology called Self-Organising Network (SON) in order to achieve lower cost and enhanced network performance. This thesis focuses on the inbound and outbound handovers (handover between femtocell and macrocell); in detail, it provides suitable solutions for the intensity of femtocell handover prediction, Physical Cell Identity (PCI) allocation and handover triggering parameter optimisation. Moreover, those solutions are implemented in the structure of SON. In order to e ciently manage radio resource allocation, this research investigates the conventional UE-based prediction model and proposes a cell-based prediction model to predict the intensity of a femtocell's handover, which overcomes the drawbacks of the conventional models in the two-tier scenario. Then, the predictor is used in the proposed dynamic group PCI allocation approach in order to solve the problem of PCI allocation for the femtocells. In addition, based on SON, this approach is implemented in the structure of a centralised Automated Con guration of Physical Cell Identity (ACPCI). It overcomes the drawbacks of the conventional method by reducing inbound handover failure of Cell Global Identity (CGI). This thesis also tackles optimisation of the handover triggering parameters to minimise handover failure. A dynamic hysteresis-adjusting approach for each User Equipment (UE) is proposed, using received average Reference Signal-Signal to Interference plus Noise Ratio (RS-SINR) of the UE as a criterion. Furthermore, based on SON, this approach is implemented in the structure of hybrid Mobility Robustness Optimisation (MRO). It is able to off er the unique optimised hysteresis value to the individual UE in the network. In order to evaluate the performance of the proposed approach against existing methods, a System Level Simulation (SLS) tool, provided by the Centre for Wireless Network Design (CWiND) research group, is utilised, which models the structure of two-tier communication of LTE femtocell-based networks.
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Yunda, Lozano Daniel. "Improving vertical handover performance for RTP streams containing voice : Using network parameters to predict future network conditions in order to make a vertical handover decision." Thesis, KTH, Kommunikationssystem, CoS, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-92019.

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Wireless local area networks WLAN and Voice over IP technologies enable local low cost wireless telephony, while cellular networks offer wide-area coverage. The use of dual mode WLAN-cellular terminals should allow cost savings by automatically switching from GSM to WLAN networks whenever it is feasible. However, in order to allow user mobility during a call, a handover procedure for transferring a call between the WLAN interface and the cellular network should be defined. The decision algorithm that triggers such a handover is critical to maintain voice quality and uninterrupted communication. Information or measurements collected from the network may be used to anticipate when the connection will degrade to such a point that a handover is desirable in order to allow a sufficient time span for the handover’s successful execution. It is the delay in detecting when to make a handover and the time to execute it that motivates the need for a prediction. The goal of this thesis is therefore to present a method to predict when a handover should be made based upon network conditions. We selected a number of WLAN and VoIP software tools and adapted them to perform the measurements. These tools allowed us to measure parameters of the WLAN’s physical and link layers. Packet losses and jitter measurements were used as well. We have assumed that there is ubiquitous cellular coverage so that we only have to be concerned with upward handovers (i.e, from the WLAN to the cellular network and not the reverse). Finally we have designed and evaluated a mechanism that triggers the handover based in these measurements.<br>WLAN, trådlöst lokalt nätverk, och IP-telefoni tillsammans gör det möjligt med billig trådlös telefoni, samtidigt som mobiltelefoninätverk erbjuder stor signal beläggning. Att använda WLAN-mobil med dubbla hårdvaruterminaler skulle ge en kostnadsreducering genom att automatisk byta från GSM till WLAN när det är möjligt. Emellertid för att kunna flytta pågående samtal mellan ett WLAN- och ett mobilt gränssnitt, måste en handovermekansim definieras. En beslutsalgoritm som utlöser sådan handover är av stor vikt för att bibehålla röstkvalitet och oavbruten kommunikation. För att tillåta ett tillräckligt tidsspann för handoverns utförande kan information tagen från nätverket användas för att förutse när kommunikationen ska degraderas till en sådan punkt att en handover är önskvärd. Förseningen i detekteringen när en handover ska ske och tiden för utförandet motiverar behovet av förutsägelse. Det här exjobbet introducerar en metod som förutsäger när handover ska börja baserade på nätverksförhållandena. Vi har valt några WLAN och VoIP-program och anpassat dem för att genomföra mätningarna. Programmen tillät oss att mäta WLANs parameter för fysiska och datalänksskikten. Pecket Loss och jitter-mätningar användes likaså. Vi antog att det fanns GSM tjänst på alla platser så att vi endast behövde göra uppg aende handover(t.ex. från WLAN till mobilt nätverk och inte tvärtom). Vi framkallade och testade en mekanism att starta handovern baserade på nätverksmätningarna.<br>This is the same Ian Marsh as advisor who authored the disseratation http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-10572
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Simmonds, Christopher Martin. "Soft handover parameter optimisation for DS-CDMA downlink design." Thesis, University of Bristol, 1995. http://hdl.handle.net/1983/471bc894-d62f-4db5-98a8-19b2fc537f55.

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Tseng, Wei-Zhe, and 曾偉晢. "Optimization of Soft Handover Parameters for UMTS Networks." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/mfccb2.

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碩士<br>國立臺北科技大學<br>電腦與通訊研究所<br>97<br>The previous papers present the impact of soft handover parameters on soft handover probability and outage probability, by tuning time to trigger in Event 1A and time to trigger in Event 1B to be equal. But they didn’t consider drop rate that operators care most. Therefore, we propose scheme by tuning the different values on time to trigger in Event 1A and time to trigger in Event 1B. The field test results show that the drop rate is better than previous papers and the soft handover rate and block error rate is about the same as previous papers.
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Jia-Hsin, Lin, and 林嘉新. "Adaptive Handover Parameters Design in Hybrid Macro/Pico-cell Networks Based on Q-learning Algorithm." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/12993496059188355810.

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碩士<br>國立中正大學<br>通訊工程研究所<br>100<br>In currently deployed mobile networks, handover parameter is done manually over a long time frame. This way not only comes high OPEX but also time-consuming. Handover parameter settings, such as Time-To-Trigger (TTT), Hysteresis, have great effect on mobility performance. Inappropriate handover parameter settings can negatively affect user experience and waste network resources by causing Radio Link Failure, Ping-Pong Effect and Handover Failure. There have been researchers studied the handover parameter optimization in LTE system, which mainly pay attention to the macro-cell scenario. However, Picocell scenario receives less attention. So our target is design an adaptive self-optimization method that can dynamically tuning handover parameters for individual cell situation base on Q-learning Algorithm to improve the overall network performance and reduce handover problems.
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Ong, Eng Hwee. "A generalized cooperative and cognitive radio resource management architecture for future wireless networks." Thesis, 2010. http://hdl.handle.net/1959.13/805169.

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Research Doctorate - Doctor of Philosophy (PhD)<br>Heterogeneity and convergence are two distinctive connotations of future wireless networks. Multiple access networks are expected to converge in a manner where heterogeneity can be exploited as an enabler to realize the Optimally Connected, Anywhere, Anytime vision of the International Telecommunication Union (ITU). This stimulates current trends toward the convergence of complementary heterogeneous access networks in an all-internet protocol (IP) core network and raises the importance of cooperation in such a multiple radio access technology (multi-RAT) environment. This thesis defines, develops, implements, and analyzes a novel generalized cooperative and cognitive RRM (CCRRM) architecture, anchored on the key principle of technology agnostic approach, to optimize radio resources usage, maximize system capacity, and improve quality of service (QoS) in future wireless networks. A novel measurement-based network selection technique, formulated based on mathematical framework, and terminal-oriented network-assisted (TONA) handover architecture are the main actors of this technology agnostic approach. In particular, QoS parameters estimation is a cornerstone of the generalized CCRRM architecture to facilitate technology abstraction and provide link layer cognition in an effort to realize seamless mobility in future wireless networks. By leveraging on the cooperative exchange of QoS context information over the converged all-IP core and novel concept of reactive QoS balancing (RQB) to achieve the end-to-end goal of promoting a QoS-balanced system, three RQB algorithms augmented with multi-domain cooperation techniques are developed to exploit the heterogeneity of access networks and distribute load opportunistically. Additionally, the radio resource management (RRM) design of the generalized CCRRM architecture is based on a network-terminal distributed decision making process, similar and compliant to the recent IEEE 1900.4 standard. Performance evaluation is conducted with comprehensive discrete event based simulation studies to gain insights of the promising intrinsic benefits associated with RQB under realistic, pragmatic scenarios. Furthermore, an elegant unified analytical model is developed to obtain the key performance metrics for the IEEE 802.11 distributed coordination function (DCF) infrastructure basic service set (BSS), under non-homogeneous conditions, by integrating a Markov chain model in conjunction with a finite queueing model. These performance metrics serve as bounds for reliable capacity analysis from which a model-based predictive QoS balancing (PQB) algorithm is developed as a benchmark for comparative performance studies with the proposed measurement-based RQB algorithm. The contributions of this thesis are not restricted to multiple access point (multi-AP) wireless local area network (WLAN), and the proof of concept is validated based on a heterogeneous multi-AP WLAN where appropriate. Moreover, conditions under which the generalized CCRRM architecture provides abstraction from underlying technologies and stays relevant to future IP-based multi-RAT environment have been established.
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Yang, Ling, and 楊羚. "Design and Evaluation of a Handover Parameter Self-Optimization Algorithm for User Equipments in LTE." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/8q985m.

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碩士<br>國立臺灣科技大學<br>資訊工程系<br>100<br>With the rapid growth of mobile communication, base stations need to handle more mobile devices, so the load will be much heavier in the base stations. However, using the effective handover parameters can decrease handover failure and redundant handovers, and also alleviate base stations' load directly, especially in the high speed environment. It's difficult to adjust and maintain the handover parameters by operator one by one, so the 3GPP LTE Release 8 introduces the self-optimization mechanism which can collect the information between neighboring nodes. Although the self-optimization algorithm is executed by the base station mostly, it can't really solve the problems on UE. In order to solve this problem, our thesis introduces the USP (UserEquipment Specific Parameter) algorithm which can auto-modify the handover parameters by collecting the UE's real condition. This algorithm is executed by UE, so that USP not only can adjust the proper parameters but reduce the load from base stations. Finally, according to our simulation results, USP decreases system's handover failure ratio, Ping-Pong ratio and most of the redundant handovers.
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Huang, Ya-Yu, and 黃雅喻. "Design of a Handover Scheme with eNode-B Pre-Selection and Parameter Self-Optimization for LTE-A Heterogeneous Networks." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/79805613556292941426.

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碩士<br>國立臺灣科技大學<br>資訊工程系<br>103<br>As personal intellectual mobile devices become pervasive, data traffic increases drastically, causing a much heavier burden to the traditional macro eNode B (eNB) in the long term evolution (LTE) system. To share the load of macro eNBs, lowpower base stations, e.g., pico eNBs, are deployed accordingly. Such a heterogeneous network (HetNet) with macro and pico eNBs is then considered in this thesis. For such a HetNet, we will address how to appropriately select an eNB to improve handover performance, especially in the high-speed environment. In our design, a base station pre-selection strategy is proposed to classify user equipments (UEs) according to the pre-defined thresholds of speed and quality of service (QoS) requirements.For different types of UE, different preferences are then set so that high-speed UEs are primarily taken cared by macro eNBs while lowspeed or low QoS UEs are offloaded to the service area of pico eNBs to share the load of macro eNBs. Additionally, a dynamic handover parameter adjustment mechanism is proposed by considering the handover failure ratio, ping-pong effect ratio, speed, and mobility history etc. Finally, we show the superiority of our design over some related mechanisms reported in the literature in terms of number of handover, radio link failure ratio, and ping-pong ratio via extensive simulations.
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Ke, Bing-kuei, and 柯秉. "Using dynamic cell range expansion mechanism and self-optimization handover parameter to improve system throughput in LTE-Advanced Heterogeneous Networks." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/10195273506721262832.

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碩士<br>國立中央大學<br>通訊工程學系<br>102<br>In the age of information explosion, intelligent personal mobile devices are also increasingly popular. With hardware of these devices upgrading, traditional dial phone, sending and receiving text messages, and browsing the web have been unable to fit demand. The next generation 4G mobile network will have high transmission rate, low latency and seamless handover that we should be improved toward these goals. For the LTE-Advanced system, there are many relating researches developed step by step. For example, there are many issues such as heterogeneous networks, Carrier Aggregation, Coordinated Multipoint and so on to study. This thesis focuses on the handover issues in heterogrneous networks. Heterogeneous networks mean the environment that put number of low-power eNodeBs under the traditional eNodeB coverage. Therefore, how to effectively increase overall performance of user traffic, and not to generate significant interference to traditional eNodeB are important issues for study. The 3GPP proposed two mechanisms, CRE and ABSF to solving these problems, and this thesis further deliver a dynamic handover parameter mechanism and a dynamic CRE in the system, to achieve much better throughput and lower probability of cutoff (Radio Link Failure).
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Book chapters on the topic "Handover parameters"

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Ben Gharbia, Maroua, and Ridha Bouallegue. "Adaptive Handover Decision Parameters in Femtocell-Macrocell Networks." In Lecture Notes on Data Engineering and Communications Technologies. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-87784-1_1.

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Goutam, Siddharth, Srija Unnikrishnan, Archana Karandikar, and Aradhana Goutam. "Analysis of vertical handover parameters using Analysis of Variance (ANOVA)." In Application of Communication Computational Intelligence and Learning. Routledge, 2022. http://dx.doi.org/10.1201/9781003340867-21.

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Laassiri, Fatima, Mohamed Moughit, and Noureddine Idboufker. "Handover and QoS Parameters a Performance Assessment on 3G Based SDN." In Lecture Notes in Information Systems and Organisation. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-34269-2_9.

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Narwal, Bhawna, and Amar K. Mohapatra. "Performance Analysis of QoS Parameters During Vertical Handover Process Between Wi-Fi and WiMAX Networks." In Data Science and Analytics. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8527-7_27.

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Zhang, Shuai, Gang Chuai, and Weidong Gao. "A Handover Optimization Algorithm for LTE-R System Handover Parameter Prediction and Dynamic Adjustment." In Lecture Notes in Electrical Engineering. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6264-4_78.

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Kim, Donghoi, and Joinin Kim. "The Optimum Parameter Design for WCDMA Intra-frequency Handover Initiation." In Networking and Mobile Computing. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11534310_27.

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Ampririt, Phudit, Shunya Higashi, Ermioni Qafzezi, Makoto Ikeda, Keita Matsuo, and Leonard Barolli. "An Intelligent Fuzzy-Based System for Handover in 5G/B5G Wireless Networks: Effects of Radio Access Technology Condition Parameter on Handover Decision." In Lecture Notes on Data Engineering and Communications Technologies. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-86149-9_22.

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Ampririt, Phudit, Ermioni Qafzezi, Kevin Bylykbashi, Makoto Ikeda, Keita Matsuo, and Leonard Barolli. "A Fuzzy-Based System for Handover in 5G Wireless Networks Considering Different Network Slicing Constraints: Effects of Slice Reliability Parameter on Handover Decision." In Lecture Notes in Networks and Systems. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-20029-8_3.

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Ampririt, Phudit, Ermioni Qafzezi, Kevin Bylykbashi, Makoto Ikeda, Keita Matsuo, and Leonard Barolli. "A Fuzzy-Based System for Handover in 5G Wireless Networks Considering Different Network Slicing Constraints: Effects of Slice Load Parameter on Handover Decision." In Lecture Notes in Networks and Systems. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-14314-4_15.

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Ampririt, Phudit, Shunya Higashi, Ermioni Qafzezi, Makoto Ikeda, Keita Matsuo, and Leonard Barolli. "A Fuzzy-Based Handover System for 5G/B5G Wireless Networks Considering Different Network Slicing Constraints: Effect of Slice Monetary Cost Parameter on Handover Decision." In Lecture Notes on Data Engineering and Communications Technologies. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-87763-6_9.

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Conference papers on the topic "Handover parameters"

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Ullah, Yasir, Mardeni Roslee, Sufian Mousa Mitani, Muhammad Sheraz, Farman Ali, and Anwar Faizd Osman. "Evaluation Study of Handover Control Parameters in Mobile HetNets." In 2024 Multimedia University Engineering Conference (MECON). IEEE, 2024. https://doi.org/10.1109/mecon62796.2024.10776041.

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Di, Zixiang, Feibi Lyu, Guoping Xu, et al. "Intelligent Optimization of Handover Parameters in 5G Networks Based on User Service Experience." In 2024 International Conference on Ubiquitous Computing and Communications (IUCC). IEEE, 2024. https://doi.org/10.1109/iucc65928.2024.00055.

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Kherlenchimeg, Zolzaya, Telmuun Tumnee, Ugtakhbayar Naidansuren, Nanzadragchaa Dambasuren, Di Zhang, and Battulga Davaasambuu. "Parameter Estimation-Aided Conditional Handover." In 2024 34th International Telecommunication Networks and Applications Conference (ITNAC). IEEE, 2024. https://doi.org/10.1109/itnac62915.2024.10815347.

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Atik, Dogukan, Murat Gursu, Fidan Mehmeti, and Wolfgang Kellerer. "Rural Handover Parameter Tuning to Achieve End to End Latency Requirements of Future Railway Mobile Communication Systems." In 2024 20th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). IEEE, 2024. https://doi.org/10.1109/wimob61911.2024.10770495.

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Vanghi, V., and C. Chevallier. "WCDMA handover parameters optimization." In 2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577). IEEE, 2004. http://dx.doi.org/10.1109/icc.2004.1313326.

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Abdelmohsen, Assem, Mohamed Abdelwahab, Mohamed Adel, M. Saeed Darweesh, and Hassan Mostafa. "LTE Handover Parameters Optimization Using Q-Learning Technique." In 2018 IEEE 61st International Midwest Symposium on Circuits and Systems (MWSCAS). IEEE, 2018. http://dx.doi.org/10.1109/mwscas.2018.8623826.

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Pinem, Maksum, Chairunnisa Tanjung, Emerson Sinulingga, and Suherman Suherman. "Impact Signal Propagation Parameters to UMTS-LTE Handover." In Proceedings of The 2nd International Conference On Advance And Scientific Innovation, ICASI 2019, 18 July, Banda Aceh, Indonesia. EAI, 2019. http://dx.doi.org/10.4108/eai.18-7-2019.2288516.

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Banerjee, Subharthi, Michael Hempel, Pejman Ghasemzadeh, Naji Albakay, and Hamid Sharif. "High Speed Train Wireless Communication: Handover Performance Analysis for Different Radio Access Technologies." In 2019 Joint Rail Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/jrc2019-1247.

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Abstract:
High Speed Trains (HST) face some of the most stringent requirements for ensuring passenger safety and comfort while operating at very high velocities. HST wireless communication systems therefore similarly require special considerations for network design, technology selection and system implementation. For infrastructure-based wireless communications, a handover occurs whenever a radio transitions from the coverage of the current base station to the next base station. The faster the train moves the shorter the time that it spends under coverage area before a handover is required. For HST this can be as short as 10–20 seconds. Furthermore, a HST moving at 220 mph experiences significant fast and small-scale wireless signal fading due to this velocity, but similarly may incur frequent connectivity losses due to the rapid transit across coverage areas. A route consisting of viaducts, bridges, tunnels or hilly regions drastically increases the need for rapid handovers since a large number of base stations are required to provide coverage and achieve acceptable Quality-of-Service (QoS) in such environments. Due to the relatively fixed amount of time needed to complete a handover, and the possibility of failed handovers, this reduces the usable time under coverage, and thus ensuring an optimal handover strategy selection is vital. Most of the routes span rural and suburban areas, which reinforces the need for a comprehensive network planning strategy, as these areas tend to be underdeveloped for cellular coverage. Given the complexity in available radio spectrum resources, detailed studies are required to aid in this technology selection process. However, with the predicted increase in the demand of railroad network data traffic generated by onboard sensors, onboard control and operation devices, passenger Internet services, etc., it becomes apparent that more resources are needed than are provided by current technologies such as LTE. Thus, including 5G New Radio for Railways (5G-NR2) in the consideration does not only provide railways a more cost-effective licensing option for frequencies, but also an opportunity to select the best possible radio access method for a given HST corridor. In this paper, we focus on the metrics related to handover and how they correlate with different radio access technologies for HST. Our results integrate the uncertainty of environmental factors to provide answers on technology selection driven by specific route, inter-site distances, and available bandwidth. Our wireless communication simulation results are driven by well recognized mathematical models that consider a variety of key parameters. The analysis of the handover performance will offer insights vital to future railroad network planning for multivariate radio access technologies, and to answer crucial questions about the potential for using frequency bands above 6 GHz in HST.
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Chen, Li-Sheng, and Shu-Han Liao. "Performance Evaluation of Mobility in Non-Terrestrial Networks." In 6th International Conference on Natural Language Processing, Information Retrieval and AI. Academy & Industry Research Collaboration Center, 2025. https://doi.org/10.5121/csit.2024.150205.

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Low Earth Orbit (LEO) satellites exhibit high mobility, leading to frequent handover challenges. Addressing these handover issues is crucial for maintaining seamless and stable service connections. This paper presents a novel D1 event handover scheme that integrates Kalman filtering with artificial neural networks(ANN) to enhance handover performance in Non-Terrestrial Networks (NTN). In the proposed method, Kalman filtering provides precise UE position estimates and generates smooth trajectory predictions, which serve as inputs to a neural network. The neural network adaptively adjusts handover parameters (hysteresis and threshold) and intelligently selects the optimal target cell based on predicted positions, signal-to-interference-plus-noise ratio (SINR) and network load. Through modelling and simulation experiments, we demonstrate that the proposed scheme significantly reduces handover failure rates and ping-pong events. The results show that, compared to traditional D1 handover mechanisms and RSRP-based handover methods, the proposed scheme improves handover stability and reliability, offering an effective solution for intelligent mobility management in dynamic NTN environments.
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Ibrahim, M., N. Ya'acob, S. Subahir, and Wan Nazirah Wan Md Adnan. "Performance evaluation of Soft Handover parameters in WCDMA system." In 2010 IEEE Asia-Pacific Conference on Applied Electromagnetics (APACE 2010). IEEE, 2010. http://dx.doi.org/10.1109/apace.2010.5720111.

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