Navegando por Assunto "Handover"

Agora exibindo 1 - 4 de 4

Acesso aberto (Open Access)
Análise de handover a partir do uso de femtocells em redes LTE: abordagem baseada em simulação discreta
(Universidade Federal do Pará, 2014-06-13) SILVA, Ketyllen da Costa; FRANCÊS, Carlos Renato Lisboa; http://lattes.cnpq.br/7458287841862567
The volume of data traffic in mobile networks is growing exponentially. The explosion of mobile devices and applications in recent years has led to an overload of the network infrastructure responsible for disposing of this traffic, thus affecting the performance of the network as the user experience. One of the key elements in the networks (LTE) Long Term Evolution is the possibility of deploying multiple femtocells for the improvement of coverage and data rate. However, arbitrary overlapping coverage of these cells makes the handover mechanism complex and challenging. Thus, this dissertation proposes a methodology to study the impact of handover in LTE networks with femtocells. From a discrete simulation approach, the effects of the deployment of femtocells were evaluated. This study aimed to measure the impact and correlation of the use of femtocell parameters of QoS (Quality of Service) and performance indicators handover.
Acesso aberto (Open Access)
Estratégia de planejamento e otimização do handover em redes móveis densificadas
(Universidade Federal do Pará, 2018-06-29) SILVA, Ketyllen da Costa; ARAÚJO, Jasmine Priscyla Leite de; FRANCÊS, Carlos Renato Lisboa; http://lattes.cnpq.br/7458287841862567
The increase in mobile devices and applications in recent years has led to an overload of the network infrastructure responsible for disposing this traffic, thus affecting the performance of the network as the user experience.Heterogeneous mobile networks are already a reality and their densification has been put forward as one of the suggested solutions to meet the expected demands for 5th generation (5G) mobile networks. However, in the current networks, it is still common for fixed parameters to be used for the configuration of the network although this strategy does not always prove to be efficient. It is within this context that the concept of selforganizing networks (SONs) has been established, in which several network parameters are automatically adjusted on the basis of measurements and intelligent systems in real time. This thesis presents a strategy to optimize the handover in LTE networks with dense small cells. Based on measurements and fuzzy logic new algorithms are proposed for self-tuning network parameters. From discrete simulation using MATLAB, the results are evaluated and presented through the main performance metrics of handover.
Acesso aberto (Open Access)
Mobility and cloud management in wireless heterogeneous 5g networks
(Universidade Federal do Pará, 2020-06-30) PACHECO, Lucas de Sousa; ROSÁRIO, Denis Lima do; http://lattes.cnpq.br/8273198217435163; HTTPS://ORCID.ORG/0000-0003-1119-2450; CERQUEIRA, Eduardo Coelho; http://lattes.cnpq.br/1028151705135221; https://orcid.org/0000-0003-2162-6523
The network mobility management branch is responsible for the protocols and actions taken by the network to ensure connectivity and the continuity of services consumed by mobile users. In this dissertation we analyse how next-generation networks pave the way for the distribution of video in vehicular networks (VANETs), composed by an heterogeneous ultra-dense infrastructure, joining existing wireless communication technologies to obtain greater spectral efficiency. A handover algorithm called HoVe is presented. Based on various criteria for video distribution on ultra-dense 5G VANETs. The simulation results show HoVe’s efficiency in providing videos with 19% higher quality than state-of-the-art algorithms, improving the package delivery rate by at least 30%. This work studies a particular case of VANETs that benefits from computing at the edge of the network, the case of Connected Autonomous Vehicles, or CAVs. Edge and mist computing are emerging solutions for remote data processing for autonomous vehicles, offering greater computational power, as well as the low latency required by autonomous driving. This work proposes the MOSAIC algorithm for service migration and resource management for communication between layers and between layers in edge and fog computing. Simulation results show the efficiency of the proposed algorithm with a better performance of up to 50% in terms of latency and five times less migration failures.
Acesso aberto (Open Access)
Predição de qualidade de experiência para internet do futuro em arquiteturas heterogêneas de redes sem fio móveis
(Universidade Federal do Pará, 2013-12-06) FERREIRA JUNIOR, José Jailton Henrique; FRANCÊS, Carlos Renato Lisboa; http://lattes.cnpq.br/7458287841862567
The Next Generation Networks are architectures that allow vertical handovers and the user-centric vision by the appropriate Quality of Experience (QoE) provisioning for multimedia applications. The discussion is much less protocol-oriented perspective and is more service-oriented perspective. This thesis presents an architecture for next-generation networks to provide wireless heterogeneous access and seamless vertical handover for multimedia applications. The proposal considers different wireless technologies and also adopts the standard IEEE 802.21 (Media Independent Handover – MIH) to assist in the integration and the mobility management of heterogeneous wireless networks. The technologies in architecture are: IEEE 802.11 (popular known as Wi-Fi), IEEE 802.16 (popular known as WiMAX) and LTE (popular known as Fourth Generation – 4G). The objective is to choose the best connection for user. The proposal architecture presents mechanisms to predict quality of experience that will be decisive parameter to do or do not the handover, the prediction will be using artificial intelligence neural networks, in addition to architecture also provides a mechanism for QoE discard packets to specific multimedia applications. The proposal is evaluated by simulation using the ns-2 (Network Simulator) and the performance results are presented through the QoS/QoE metrics and also visually by displaying the video frames transmitted in architecture.