Quality of experience management in mobile cellular networks: key issues and design challenges

Liotou, Eirini; Tsolkas, Dimitris; Passas, Nikos; Merakos, Lazaros

doi:10.1109/mcom.2015.7158278

Cited by 91 publications

(58 citation statements)

References 13 publications

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“…New ways with enhanced capacity (e.g., small cells deployment), intelligent traffic and offload schemes will have to be developed and implemented in order to meet these performance requirements. Moreover, the complexity and high degree of heterogeneity towards 5G also impose the requirements for autonomous network management [31] . Although there are no detailed specifications and general requirements of 5G, exploring 5G requirements (e.g., from users & network perspective) as shown in Fig.…”

Section: G Service Quality Requirementsmentioning

confidence: 99%

“…The experimental results show that the number of unicast forwarding rules installed in the overlay network significantly drops compared to fully-meshed and OpenStack cases. Based on the NFV MANO framework and OpenFog Consortium (OFC) 31 reference architecture, Lingen et al [291] introduce a model-driven and service-centric architecture that addresses technical challenges of integrating NFV, Fog, and MEC on 5G networks. One of the use cases used in their pilot study is the physical security of Fog nodes using a two-layer abstraction model along with IoT-specific modules.…”

Section: Network Slicing Management In Edge/cloud and Fog Computingmentioning

confidence: 99%

“…Amemiya et al [299] propose a novel slicing method for softwarized BS to isolate a low latency slice from a broadband slice. The Authors' evaluation indicates reasonable resource isolation and minimal latency in the 31 The OFC offers uniform management of IoT services that span through the cloud to the edge network.…”

Section: Network Slicing Management In Edge/cloud and Fog Computingmentioning

confidence: 99%

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5G network slicing using SDN and NFV: A survey of taxonomy, architectures and future challenges

et al. 2020

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a b s t r a c tThe increasing consumption of multimedia services and the demand of high-quality services from customers has triggered a fundamental change in how we administer networks in terms of abstraction, separation, and mapping of forwarding, control and management aspects of services. The industry and the academia are embracing 5G as the future network capable to support next generation vertical applications with different service requirements. To realize this vision in 5G network, the physical network has to be sliced into multiple isolated logical networks of varying sizes and structures which are dedicated to different types of services based on their requirements with different characteristics and requirements (e.g., a slice for massive IoT devices, smartphones or autonomous cars, etc.). Softwarization using Software-Defined Networking (SDN) and Network Function Virtualization (NFV)in 5G networks are expected to fill the void of programmable control and management of network resources.In this paper, we provide a comprehensive review and updated solutions related to 5G network slicing using SDN and NFV. Firstly, we present 5G service quality and business requirements followed by a description of 5G network softwarization and slicing paradigms including essential concepts, history and different use cases. Secondly, we provide a tutorial of 5G network slicing technology enablers including SDN, NFV, MEC, cloud/Fog computing, network hypervisors, virtual machines & containers. Thidly, we comprehensively survey different industrial initiatives and projects that are pushing forward the adoption of SDN and NFV in accelerating 5G network slicing. A comparison of various 5G architectural approaches in terms of practical implementations, technology adoptions and deployment strategies is presented. Moreover, we provide a discussion on various open source orchestrators and proof of concepts representing industrial contribution. The work also investigates the standardization efforts in 5G networks regarding network slicing and softwarization. Additionally, the article presents the management and orchestration of network slices in a single domain followed by a comprehensive survey of management and orchestration approaches in 5G network slicing across multiple domains while supporting multiple tenants. Furthermore, we highlight the future challenges and research directions regarding network softwarization and slicing using SDN and NFV in 5G networks.Crown (A .A . Barakabitze). tems [1,2,3] . The increasing number of smart devices (e.g., tablets and smartphones) and the growing number of bandwidth-hungry mobile applications (e.g., live video streaming, online video gaming) which demand higher spectral efficiency than that of 4G systems are posing significant challenges in 5G. The Cisco Visual Networking Index (VNI) Forecast [4] predicts that IP video traffic will be 82% of all consumer Internet traffic by 2022, up from 75% in 2017. Mobile video traffic alone will account for 78% of the global mobile data traffic. W...

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Section: G Service Quality Requirementsmentioning

confidence: 99%

Section: Network Slicing Management In Edge/cloud and Fog Computingmentioning

confidence: 99%

Section: Network Slicing Management In Edge/cloud and Fog Computingmentioning

confidence: 99%

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5G network slicing using SDN and NFV: A survey of taxonomy, architectures and future challenges

et al. 2020

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“…remains a big question. The primary reason is that if the passive monitoring probe at the user terminal operates at a higher frequency, the prediction of the QoE may be more accurate [82] but will have a negative impact on the user end device regarding utilization of the device resources (e.g., CPU, RAM and battery power) [240].…”

Section: Video Encodingmentioning

confidence: 99%

“…In that aspect, the greedy algorithm transmits the video-file segments using distributed caching. Furthermore, in [82], the authors propose a central QoE management entity to monitor and manage the QoE level of the end-user. The proposed framework, shown in Fig.…”

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confidence: 99%

QoE Management of Multimedia Streaming Services in Future Networks: A Tutorial and Survey

Barakabitze

Barman

Ahmad

et al. 2020

IEEE Commun. Surv. Tutorials

142

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The highly demanding Over-The-Top (OTT) multimedia applications pose increased challenges to Internet Service Providers (ISPs) for assuring a reasonable Quality of Experience (QoE) to their customers due to lack of flexibility, agility and scalability in traditional networks. The future networks are shifting towards the cloudification of the network resources via Software Defined Networks (SDN) and Network Function Virtualization (NFV). This will equip ISPs with cutting-edge technologies to provide service customization during service delivery and offer QoE which meets customers' needs via intelligent QoE control and management approaches. Towards this end, we provide in this paper a tutorial and a comprehensive survey of QoE management solutions in current and future networks. We start with a highlevel description of QoE management for multimedia services, which integrates QoE modelling, monitoring, and optimization. This followed by a discussion of HTTP Adaptive Streaming (HAS) solutions as the dominant technique for streaming videos over the best-effort Internet. We then summarize the key elements in SDN/NFV along with an overview of ongoing research projects, standardization activities and use cases related to SDN, NFV, and other emerging applications. We provide a survey of the state-of-the-art of QoE management techniques categorized into three different groups: a) QoE-aware/driven strategies using SDN and/or NFV; b) QoE-aware/driven approaches for adaptive streaming over emerging architectures such as multi-access edge computing, cloud/fog computing, and information-centric networking; and c) extended QoE management approaches in new domains such as immersive augmented and virtual reality, mulsemedia and video gaming applications. Based on the review, we present a list of identified future QoE management challenges regarding emerging multimedia applications, network management and orchestration, network slicing and collaborative service management in softwarized networks. Finally, we provide a discussion on future research directions with a focus on emerging research areas in QoE management, such as QoEoriented business models, QoE-based big data strategies, and scalability issues in QoE optimization.

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Quality of Experience Management of Multimedia Streaming Services

2022

Multimedia Streaming in SDN/NFV and 5G Networks

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Quality of experience management in mobile cellular networks: key issues and design challenges

Cited by 91 publications

References 13 publications

5G network slicing using SDN and NFV: A survey of taxonomy, architectures and future challenges

5G network slicing using SDN and NFV: A survey of taxonomy, architectures and future challenges

QoE Management of Multimedia Streaming Services in Future Networks: A Tutorial and Survey

Quality of Experience Management of Multimedia Streaming Services

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