2018
DOI: 10.1016/j.comnet.2018.10.016
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ARBAT: A flexible network architecture for QoE-aware communications in 5G systems

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Cited by 22 publications
(7 citation statements)
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“…SDN and NFV have been widely recognized as the major paradigm shifts that occurred with the advent of 5G [107]. In particular, SDN has paved the way for the separation of the data and control planes, while NFV has been instrumental in decoupling the software from the hardware.…”
Section: Network Automationmentioning
confidence: 99%
“…SDN and NFV have been widely recognized as the major paradigm shifts that occurred with the advent of 5G [107]. In particular, SDN has paved the way for the separation of the data and control planes, while NFV has been instrumental in decoupling the software from the hardware.…”
Section: Network Automationmentioning
confidence: 99%
“…The data rate achieved for the user experience was exceeded to 1 Gbps and attained a better peak data rate for each user as 1.5 Gbps. Akyildiz et al (2018) introduced flexible network architecture in the 5G wireless system for quality-aware communication. It was characterized by various innovative features, like cellular network concepts and universal network devices.…”
Section: Other 5g Communication Techniquesmentioning
confidence: 99%
“… The two-level scheduling processes concerning the stability, performance and scalability were not focused (Ksentini and Nikaein, 2017).  It failed to reduce content-based access was not effectively synchronized in (Akyildiz et al, 2018) and the placement parameters, like location cost and candidate sites, were not considered in (Santoyo-González and Cervelló-Pastor, 2018).  The network parameters were not validated and simulated in the real-time scenario (Al-Raweshidy et al, 2017).…”
Section: Scheduling Basedmentioning
confidence: 99%
“…Recent advances in mobile computing and wireless communication technologies have enabled a new class of resource‐intensive real‐time Internet of things (IoT) and fifth‐generation (5G) network applications such as merged reality and intelligent video surveillance . These applications require low latency, high data rates, and considerable computing and storage resources .…”
Section: Introductionmentioning
confidence: 99%