QoE Optimization Technique for Media Delivery in 5G Networks

Одарченко, Роман; Abakumova, Anastasiia; Usik, Pavlo; Смірнов, Олексій; Maratkyzy, Kundyz

doi:10.1109/picst47496.2019.9061469

Cited by 2 publications

(1 citation statement)

References 2 publications

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“…Since the availability of QoE data reported by actual users is often scarce, the MOS is computed using utility functions mapping high-level service performance indicators, e.g., initial playback time for video streaming services [27]. Therefore, different QoS parameters, such as latency or reliability, are intrinsically involved in estimating users' level of satisfaction depending on the type of service [28,29]. Hence, the UE location and a different QoE model for each service are used to maximize the MOS provided by the methodology introduced in the next Section 3.…”

Section: Scenariomentioning

confidence: 99%

Location-Aware Node Management Solution for Multi-Radio Dual Connectivity Scenarios

Burgueño

de-la-Bandera

Barco

2021

Sensors

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The location of user equipments (UEs) allows application developers to customize the services for users to perceive an enhanced experience. In addition, this UE location enables network operators to develop location-aware solutions to optimize network resource management. Moreover, the combination of location-aware approaches and new network features introduced by 5G enables to further improve the network performance. In this sense, dual connectivity (DC) allows users to simultaneously communicate with two nodes. The basic strategy proposed by 3GPP to select these nodes is based only on the power received by the users. However, the network performance could be enhanced if an alternative methodology is proposed to make this decision. This paper proposes, instead of power-based selection, to choose the nodes that provide the highest quality of experience (QoE) to the user. With this purpose, the proposed system uses the UE location as well as multiple network metrics as inputs. A dense urban scenario is assumed to test the solution in a system-level simulation tool. The results show that the optimal selection varies depending on the UE location, as well as the increase in the QoE perceived by users of different services.

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Section: Scenariomentioning

confidence: 99%

Location-Aware Node Management Solution for Multi-Radio Dual Connectivity Scenarios

Burgueño

de-la-Bandera

Barco

2021

Sensors

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Research of Cyber Security Technologies of Cloud Services Iaas, Paas and Saas

Smirnova,

Konoplitska-Slobodeniuk,

Buravchenko

et al. 2024

Cybersecurity

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Cybersecurity threats are constantly evolving, and cloud computing is no exception. Attackers are improving attack techniques aimed at identifying vulnerabilities in IaaS, PaaS, and SaaS. The work examines the following problematic issues: insufficient analytical tools; data privacy and security; financial and organizational costs to ensure cyber security of IaaS, PaaS and SaaS cloud technologies. The aim of the work is to investigate how the common models of cloud computing: infrastructure as a service (IaaS), platform as a service (PaaS) and software as a service (SaaS) need to properly implement adequate and appropriate protection measures to ensure cyber security. For this purpose, the paper examined models of cloud technologies, it was determined that cloud services include various models that allow users to access various types of resources via the Internet. It has been found that there are three generally accepted models of cloud services: infrastructure as a service (IaaS), platform as a service (PaaS) and software as a service (SaaS), and two main players: the cloud provider and the cloud subscriber. The set of levels over which each of these players has control depends on the model of the cloud service or environment. For each of these cloud services, its description was given, recommendations were given for access control, privacy assurance, terms of use were defined, advantages and disadvantages were given, and market trends of these services were considered. Proposed approaches to the formation of a secure application development environment in cloud services. Features such as wide network access, resource pooling, fast elasticity, service metering, and data sharing are also summarized. Guidelines for designing access control for IaaS, PaaS, and SaaS according to their different characteristics are proposed. In addition, the security policy rules for each cloud system are summarized. Technologies are proposed to protect security at each of the three main layers of cloud services: the application, middleware, and virtual machine layers, due to differences in the organization that controls each of these layers. It was found that for any level it is possible to provide more effective protection if the same subject controls the level below. Since the network, hardware, and resource abstraction layer in all cloud service models are controlled by the cloud provider, it has more effective protections at its disposal.

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QoE Optimization Technique for Media Delivery in 5G Networks

Cited by 2 publications

References 2 publications

Location-Aware Node Management Solution for Multi-Radio Dual Connectivity Scenarios

Location-Aware Node Management Solution for Multi-Radio Dual Connectivity Scenarios

Research of Cyber Security Technologies of Cloud Services Iaas, Paas and Saas

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