2019
DOI: 10.1109/mwc.2019.1800498
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Artificial Intelligence for Elastic Management and Orchestration of 5G Networks

Abstract: The emergence of 5G enables a broad set of diversified and heterogeneous services with complex and potentially conflicting demands. For networks to be able to satisfy those needs, a flexible, adaptable, and programmable architecture based on network slicing is being proposed. Moreover, a softwarization and cloudification of the communications networks is required, where network functions (NFs) are being transformed from programs running on dedicated hardware platforms to programs running over a shared pool of … Show more

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Cited by 64 publications
(55 citation statements)
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References 8 publications
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“…In [122] the authors proposed AI as a built-in architectural feature that allows the exploitation of the resource elasticity of a 5G network. Building on the work of the recently formed Experiential Network Intelligence (ENI) industry specification group of ETSI to embed an AI engine in the network, they described a novel taxonomy for learning mechanisms that target exploiting the elasticity of the network as well as three different resource elastic use cases leveraging AI.…”
Section: Network and Cloud Resource Managementmentioning
confidence: 99%
“…In [122] the authors proposed AI as a built-in architectural feature that allows the exploitation of the resource elasticity of a 5G network. Building on the work of the recently formed Experiential Network Intelligence (ENI) industry specification group of ETSI to embed an AI engine in the network, they described a novel taxonomy for learning mechanisms that target exploiting the elasticity of the network as well as three different resource elastic use cases leveraging AI.…”
Section: Network and Cloud Resource Managementmentioning
confidence: 99%
“…Various use case scenarios have been designed for 5G networks, where ML/AI techniques could be utilised for optimizations [51,52]. Selforganizing Networks (SONs) have been developed for reducing the cost of installation and management of 5G networks by enabling capability to configure, optimize and heal itself [51].…”
Section: Future Workmentioning
confidence: 99%
“…Selforganizing Networks (SONs) have been developed for reducing the cost of installation and management of 5G networks by enabling capability to configure, optimize and heal itself [51]. Resource elasticity has been designed by embedding AI-functionality to the 5G network (European Telecommunications Standards Institute's (ETSI) Experiential Network Intelligence (ENI) architecture) [52]. However, it has not been addressed how to manage ML/deep learning flows [8] within the 5G architecture.…”
Section: Future Workmentioning
confidence: 99%
“…In the literature, Orchestration is treated as a hot topic in CNS context [38,39], but the numbers show that only 7.77% (Figure 8) of the papers are focused on this theme. In Figure 9, we detail the results of orchestration and show that a small majority of papers focus on solutions related to the use of Artificial Intelligence (4,19%).…”
Section: Inside the Bubbles (In-depth Analysis)mentioning
confidence: 99%