Network Slicing in 5G: Survey and Challenges

Foukas, Xenofon; Patounas, Georgios; Elmokashfi, Ahmed; Marina, Mahesh K.

doi:10.1109/mcom.2017.1600951

Cited by 917 publications

(537 citation statements)

References 11 publications

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“…Orion is currently designed for single-RAT settings, however investigating the feasibility of extending its capabilities for multi-RAT is a significant topic for future work. These and other future work issues are discussed further in [20].…”

Section: Resultsmentioning

confidence: 99%

Orion

Foukas

Marina

Kontovasilis

2017

Proceedings of the 23rd Annual International Conference on Mobile Computing and Networking

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138

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Emerging 5G mobile networks are envisioned to become multiservice environments, enabling the dynamic deployment of services with a diverse set of performance requirements, accommodating the needs of mobile network operators, verticals and over-the-top (OTT) service providers. Virtualizing the mobile network in a flexible way is of paramount importance for a cost-effective realization of this vision. While virtualization has been extensively studied in the case of the mobile core, virtualizing the radio access network (RAN) is still at its infancy. In this paper, we present Orion, a novel RAN slicing system that enables the dynamic on-the-fly virtualization of base stations, the flexible customization of slices to meet their respective service needs and which can be used in an end-to-end network slicing setting. Orion guarantees the functional and performance isolation of slices, while allowing for the efficient use of RAN resources among them. We present a concrete prototype implementation of Orion for LTE, with experimental results, considering alternative RAN slicing approaches, indicating its efficiency and highlighting its isolation capabilities. We also present an extension to Orion for accommodating the needs of OTT providers.

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Section: Resultsmentioning

confidence: 99%

Orion

Foukas

Marina

Kontovasilis

2017

Proceedings of the 23rd Annual International Conference on Mobile Computing and Networking

Self Cite

138

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“…Wireless network function virtualization leads to various deployment solutions such as cloud radio access network(C-RAN) and F-RAN. The motivations for virtualizing a wireless network diverse from enabling the infrastructure sharing among several operators, offering a layer of abstraction to simplify network management and programmability of wireless networks as well as network slicing based on service, user, or application [6][7][8]. Virtualization of a wireless network can be applied at different layers and degrees.…”

Section: Introductionmentioning

confidence: 99%

“…Virtualizing radio spectrum and physical layer of base stations allows sharing spectrum as well as common access network infrastructure, which includes opportunistic sensing to discover scenario-dependent optimal platform [9], deep sensing for spectrum resources [10,11], and radio resources allocation in RAN. Another respect of virtualization resources is computing, storage, and networking resources deployed in RAN regarding the requirements of cloudified applications [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

“…Logical partitions in NFV is also known as resource slicing, which divides the network into slices made of different resources and capacities so as to offer differentiated services for heterogeneous use cases and enable creation of customized services with fine control features of QoS [7,8,12,13]. Orchestration at the operator level can be seen as a special instance of the virtual network embedding (VNE) problem, in which the combined network slicing optimization problem is to make decision on optimal placement of VNFs at resource nodes, jointly the necessary link capacity reservations for their interconnection, under additive link and node capacity constraints so as to minimize the overall resource utilization cost [14].…”

Section: Introductionmentioning

confidence: 99%

“…The typical slicing motivation are different operators, different infrastructures and resource level, as well as various service requirements, including low power, low-data-rate machine-type communication, high data rate multimedia, and delaysensitive applications [8]. Among the network slicing issues, network slicing based on content-oriented service become a challenging research direction as one of the important services provided by heterogeneous radio access network [7,14].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Content-oriented network slicing optimization based on cache-enabled hybrid radio access network

Jin

Zhao

2018

J Wireless Com Network

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With the development of smart mobile devices and various mobile applications, content-oriented service has become the most popular service which occupies network resources and results in high traffic load. In order to improve quality of experience in radio access network and reduce the OpEx and CapEx of operators, wireless network virtualization and network slicing come into the vision and are deemed as promising solutions to radio access networks to provide tailored services. Therefore, network slicing and optimization based on content-oriented service become a challenging research direction. In this paper, network slicing and resource optimization on content-oriented application in cache-enabled hybrid radio access network based on complex network are investigated. A Cooperative Network Slicing Framework Based on Content in RAN (CNSC-RAN) is presented. Based on CNSC-RAN, procedures of content-oriented static network slicing and dynamic slicing are proposed. Content-oriented slicing is modeled and analyzed which includes slicing on content cache resources and communication resources. In order to obtain the optimized resources sliced for each content, the optimization problem is formulated to minimize the average system cost to get the contents required by users. The problem is solved by a heuristic algorithm called CCSOA (Content-Centric Slicing Optimization Algorithm) in a dynamic content-oriented network slicing procedure enabling UEs with self-evicting contents. The performance of CCSOA is evaluated by performance metrics including hit rate, average cache occupation, average system cost, and request traffic reduction to macro cell base station comparing with CEE and ProbCache. Simulation results reveal the effectiveness of CCSOA.

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5GWireless Testbeds

Zhang

Wang

2020

Wiley 5G Ref

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Fifth‐generation (5G) mobile communication systems are being rolled out in the real world, bringing higher frequencies, more complicated transmission schemes, and denser networks. To ensure the successful operation of 5G, the evaluation of the performance of several promising technologies requires rigorous field trialing and validation. To that end, the 5G wireless testbed design based on reconfigurable hardware and open‐source software is discussed in detail from the perspectives of the physical layer and higher levels. Meanwhile, there are some new considerations regarding the actual system placement, such as the mechanical design and network architectures. Based on these observations, the state‐of‐the‐art 5G testbeds operating at sub‐6 GHz and the millimeter‐wave band are reviewed, with a focus on multiuser massive MIMO systems.

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Network Slicing in 5G: Survey and Challenges

Cited by 917 publications

References 11 publications

Orion

Orion

Content-oriented network slicing optimization based on cache-enabled hybrid radio access network

5GWireless Testbeds

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