Network function virtualization in 5G

Abdelwahab, Sherif; Hamdaoui, Bechir; Guizani, Mohsen; Znati, Taieb

doi:10.1109/mcom.2016.7452271

Cited by 194 publications

(110 citation statements)

References 13 publications

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“…Here RRHs are directly connected to the core of the network and all BBU and core network functions are executed on Virtual Machines (VMs) on demand basis. On the other hand, the authors in [47] identified the key issues of NFV in the context of 5G and they have proposed a network overlay concept of decoupling physical address fro m v irtual addresses as well as isolation of traffic in virtual networks. With SDN and network overlay as enabling technologies for NFV imp lementation in 5G, the authors in [47] identified candidate network functions that can be executed as virtual network functions (VNFs).…”

Section: ) Nfv Applied To Ranmentioning

confidence: 99%

Softwarization and Optimization for Sustainable Future Mobile Networks: A Survey

2017

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Abstract--Due to the tremendous growth in mobile data traffic, cellular networks are witnessing architectural evolutions. Future cellular networks are expected to be extremely dense and complex systems, supporting a high variety of end-devices (e.g., smartphone, sensors, machines) with very diverse QoS requirements. S uch amount of network and end-user devices will consume a high percentage of electricity from the power grid to operate, thus increasing the carbon footprint and the operational expenditures of mobile operators. Therefore, environmental and economical sustainability have been included in the roadmap towards a proper design of the next-generation cellular system. This paper focuses on softwarization paradigm, energy harvesting technologies and optimization tools as enablers of future cellular networks for achieving diverse system requirements, including energy saving. The paper surveys the state-of-the-art literatures embedding softwarization paradigm in densely deployed Radio Access Network (RAN). In addition, the need for energy harvesting technologies in densified RAN is provided with the review of the state-of-the-art proposals on the interaction between softwarization and e nergy harvesting technology. Moreover, the role of optimization tools, such as machine learning, in future RAN with densification paradigm is stated. We have classified available literature that balances these three pillars namely, softwarization, energy harvesting and optimization with densification, being a common RAN deployment trend. Open issues that require further research efforts are also included.

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Section: ) Nfv Applied To Ranmentioning

confidence: 99%

Softwarization and Optimization for Sustainable Future Mobile Networks: A Survey

2017

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“…This new network generation will be able to deliver ultra-high capacity, low latency and better Quality of Service (QoS) compared with current Long Term Evolution (LTE) networks [2]. In order to provide these capabilities, 5G proposes the combination of advanced technologies such as Software Defined Networking (SDN) [3,4], Network Function Virtualization (NFV) [5,6], Cloud Computing [7], Self-organized Networks (SON) [8,9], Artificial Intelligence, Big Data [10][11][12], Device to Device Communications (D2D), among others [13][14][15][16][17]. In particular, 5G will be able to face unexpected changes or network problems through the identification of specific situations and taking into account the user needs and the Service level Agreements (SLAs).…”

Section: Introductionmentioning

confidence: 99%

An Approach to Data Analysis in 5G Networks

López

Vidal

Villalba

2017

Entropy

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5G networks expect to provide significant advances in network management compared to traditional mobile infrastructures by leveraging intelligence capabilities such as data analysis, prediction, pattern recognition and artificial intelligence. The key idea behind these actions is to facilitate the decision-making process in order to solve or mitigate common network problems in a dynamic and proactive way. In this context, this paper presents the design of Self-Organized Network Management in Virtualized and Software Defined Networks (SELFNET) Analyzer Module, which main objective is to identify suspicious or unexpected situations based on metrics provided by different network components and sensors. The SELFNET Analyzer Module provides a modular architecture driven by use cases where analytic functions can be easily extended. This paper also proposes the data specification to define the data inputs to be taking into account in diagnosis process. This data specification has been implemented with different use cases within SELFNET Project, proving its effectiveness.

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“…The sustained growth of data traffic with a huge amount of emerging applications requires a high efficiency and flexible basic network, such as video conference, high-definition television, and cloud computing [8]. To accommodate to the diversity of infrastructure network, researchers have proposed network virtualization as a solution [1].…”

Section: Introductionmentioning

confidence: 99%

Resource and load aware mapping algorithm for elastic optical network

Yang

Wang

et al. 2016

IEICE Electron. Express

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To improve the efficiency of network, virtualization has developed by sharing the same physical network's resources for different users and applications. As one of the substrate networks, elastic optical network (EON) is expected to be used for the virtualization due to its flexibility and effectiveness. In this letter, we propose a virtual network mapping algorithm called resource and load aware algorithm based on ant colony optimization (RL-ACO), which considers the load jointly with spectrum continuity and spectrum contiguity during the node mapping stage. The variation of node availability rank is defined in the process of link mapping which helps to decrease the blocking ratio of virtual network requests. Simulation results show that RL-ACO not only reduces the blocking probability and the occupied frequency slots, but also balances the link load.

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Network function virtualization in 5G

Cited by 194 publications

References 13 publications

Softwarization and Optimization for Sustainable Future Mobile Networks: A Survey

Softwarization and Optimization for Sustainable Future Mobile Networks: A Survey

An Approach to Data Analysis in 5G Networks

Resource and load aware mapping algorithm for elastic optical network

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