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

Barakabitze, Alcardo Alex; Ahmad, Arslan; Mijumbi, Rashid; Hines, Andrew

doi:10.1016/j.comnet.2019.106984

Cited by 593 publications

(396 citation statements)

References 200 publications

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“…Barakabitze et al [11] A comprehensive survey of 5G slicing with SDN, NFV, FFC, and ENC networks is presented. In this survey, the use cases of 5G related to network softwarization and slicing are defined in which Virtual Machine FC, SDN, network Hypervisors, NFV, and MEC are included.…”

Section: Description Of Related Existing Studies With Contributionsmentioning

confidence: 99%

“…In addition, this study will contribute to providing the knowledge that helps to emerge the modern technologies to deliver efficient data dissemination services. For example, the concept of Network Function Virtualization (NFV) in heterogeneous networks using FC as an enabler to 5G is not clear in present times since there is a need for improvement in implementing NFV for mobile communication networks as explored in earlier studies [9][10][11]. Moreover, a large amount of energy is required for the processing of more substantial applications [12].…”

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confidence: 99%

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Advancing the State of the Fog Computing to Enable 5G Network Technologies

Meng

Naeem

Almagrabi

et al. 2020

Sensors

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Fog Computing (FC) is promising to Internet architecture for the emerging of modern technological approaches such as Fifth Generation (5G) networks and the Internet of Things (IoT). These are the advanced technologies that enable Internet architecture to enhance the data dissemination services based on numerous sensors generating continuous sensory information. It is tough for the current Internet architecture to meet up with the growing demands of the users for such a massive amount of information. Therefore, it needs to adopt modern technologies for efficient data dissemination services across the Internet. Thus, the FC and 5G are updating the data transmission using new technological approaches that are intelligently processing data to provide enhanced communications. This study proposes necessary measures to boost the growth of FC to 5G network usage. It is done by taking an extensive review of how 5G operates as well as studying its taxonomy, the idea of IoT, reviewed projects on IoT applicability, comparison of computing technologies, and the importance of FC. Moreover, it elaborates dynamic issues of computing network technologies, and information is provided on how to remedy these for future recommendations in the field of research and computing network technologies. This paper heavily focuses on the applications of FC as an enabler to the 5G network by identifying the necessary services and network-oriented features that are needed to be used in the place for an improved future enterprise network technology.

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Section: Description Of Related Existing Studies With Contributionsmentioning

confidence: 99%

mentioning

confidence: 99%

Advancing the State of the Fog Computing to Enable 5G Network Technologies

Meng

Naeem

Almagrabi

et al. 2020

Sensors

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“…The NFV Orchestrator (NFVO) optimally orchestrates network services and resources on the Cloud-RAN, based on the prediction of spatio-temporal users' dynamics, while satisfying heterogeneous traffic demands [21]. Note that radio and MEC resources can be dynamically allocated to a group of services, according to the network slice paradigm [22]. The main functionalities covered by the proposed architecture are introduced below.…”

Section: The Proposed Architecturementioning

confidence: 99%

Towards an Optimal Management of the 5G Cloud-RAN through a Spatio-Temporal Prediction of Users’ Dynamics

Rago

Ventrella

Piro

et al. 2020

2020 Mediterranean Communication and Computer Networking Conference (MedComNet)

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In the emerging 5G architecture, the Cloud-Radio Access Network (Cloud-RAN) offers the possibility to dynamically configure virtual resources and network functionalities very close to end-users, while jointly considering bandwidth, computing, latency, and memory capabilities requested by heterogeneous applications, the channel quality experienced by end-users, mobility, and any kind of system constraints. By capitalizing on recent scientific results and standardization activities on 5G, this short paper presents a preliminary design of an ETSI-NFV compliant architecture willing to support the implementation of advanced protocols, algorithms, and methodologies for the optimal management of the 5G Cloud-RAN. Its components and functionalities have been sketched by harmoniously integrating Software-Defined Networking (SDN) facilities, Multi-access Edge Computing (MEC), and deep learning. Herein, spatio-temporal users' dynamics are collected by SDN controllers and predicted by a high-level orchestrator through a Convolutional Long Short-Term Memory scheme. Then, the outcomes of the prediction process are adopted to dynamically configure the Cloud-RAN (i.e., by using any kind of customizable algorithm). Some of the capabilities of the proposed approach are preliminarily evaluated by considering the autonomous driving use case and real mobility traces. Moreover, the paper concludes by reporting an overview of future directions of this research activity.

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“…The new 5G networks have the challenge to fulfill the strict requirements of several use cases [5]. For some use cases, lowlatency is a critical requirement for the overall service performance, such as Ultra-Reliable Low-Latency Communication (URLLC) services.…”

Section: Introductionmentioning

confidence: 99%

“…The network infrastructure should be prepared to fulfill such a fruitful variety of requirements, customize the infrastructure, prioritize services, and virtualized resources. Network slicing is the research topic that studies techniques to share resources and provide the expected QoS for connected clients [5].…”

Section: Introductionmentioning

confidence: 99%

Enabling QoS-secured Enhanced Non-Public Network Slices for Health Environments

Resende

Gonçalves

Both

et al. 2020

Proceedings of the 6th EAI International Conference on Smart Objects and Technologies for Social Good

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5G networks are envisioned to provide high Quality of Service (QoS) for several use cases that differ on their network requirements and where they should be deployed. Some use cases are deployed in Public Land Mobile Network (PLMN) infrastructures that are managed by mobile network operators. However, for other use cases, devices connect to the services over private networks or Non-Public Network (NPN). The NPN deployment is mostly envisioned by companies that will benefit from Industry 4.0 and also eHealth to enhance QoS and network security. Network slicing is the 5G concept that comes to address the different service requirements over the same network. In this paper, we present an experimental study on deploying a network slicing solution for an NPN in health environments. This solution aims to provide both performance isolation over WiFi networks and privacy isolating the service traffic over the NPN network backhaul on the way to the application server, thus providing data confidentiality. CCS CONCEPTS • Networks → Network reliability.

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

Cited by 593 publications

References 200 publications

Advancing the State of the Fog Computing to Enable 5G Network Technologies

Advancing the State of the Fog Computing to Enable 5G Network Technologies

Towards an Optimal Management of the 5G Cloud-RAN through a Spatio-Temporal Prediction of Users’ Dynamics

Enabling QoS-secured Enhanced Non-Public Network Slices for Health Environments

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