2021
DOI: 10.1155/2021/6655216
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Small‐Scale 5G Testbeds for Network Slicing Deployment: A Systematic Review

Abstract: Developing specialized cloud-based and open-source testbeds is a practical approach to investigate network slicing functionalities in the fifth-generation (5G) mobile networks. This paper provides a comprehensive review of most of the existing cost-efficient and small-scale testbeds that partially or fully deploy network slicing. First, we present relevant software packages for the three main functional blocks of the ETSI NFV MANO framework and for emulating the access and core network domains. Second, we defi… Show more

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Cited by 33 publications
(17 citation statements)
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“…We can also compare the measured throughput in Table 3 to the theoretical throughput by inserting parameter values from Table 2 into Equations (1) and (2). With these parameters and using FST 1/4 for 5G, the theoretical throughput for 5G DL and UL are 2218 and 222 Mbps and for Wi-Fi 9603 Mbps, respectively.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…We can also compare the measured throughput in Table 3 to the theoretical throughput by inserting parameter values from Table 2 into Equations (1) and (2). With these parameters and using FST 1/4 for 5G, the theoretical throughput for 5G DL and UL are 2218 and 222 Mbps and for Wi-Fi 9603 Mbps, respectively.…”
Section: Resultsmentioning
confidence: 99%
“…These elements are critical when the quality of experience/service (QoE/QoS) based services are designed in a wireless environment relying only the available cellular connection with high reliability. The 5G network slicing feature [2,3] enables prioritized services for improving reliability. The services can contain critical and highly prioritized data, whose reception in the terminal should be flawless within the expected time frame.…”
Section: Introductionmentioning
confidence: 99%
“…Network slicing is a logical network representation, composed with a specific mobile network infrastructure configuration, which consists of various levels and types of isolation in a physical infrastructure. It is basically enabled by virtualization, containerization, software-defined network (SDN), virtual network function (VNF) service chain, network function virtualization (NFV) [9] and flexible transport network technologies. The MNO is expected to utilize those technologies to provide a secure network environment across the radio access network, transport network and core network.…”
Section: The Principles Of Network Slicing and Network Slice Typesmentioning
confidence: 99%
“…For example, it may cost more to maintain the protocol layer on an air-gap isolation-independent server than to run it on a virtual machine. Equation (9) shows that the cost of operations is related to the protocol layer, which increases along with the MNO control level, since it requires more effort in the VNF MANO module. Equation (10) shows that the performance of a network slice that can be improved by raising the isolation level of its arbitrary protocol layer since less loss will be caused by the resource scheduling among different slices sharing the same infrastructure under bare-metal or virtual machines.…”
Section: Model Of Network Slice Isolationmentioning
confidence: 99%
“…Several open-source organizations have a critical role to play in the evolution of the network and service orchestration environment given the premise of network virtualization, softwarization and slicing of network infrastructures. Open Network Automation Platform (ONAP) [37], Open Networking Foundation (ONF) [38], Open Network Operating System (ONOS) [39], Open Daylight (ODL) [40], OpenStack [41], Open-vSwitch [42], Open Source MANO (OSM) [43], and OpenNFV [44] provide the flexibility to utilize technologies like runtime orchestration of network functions, flexible and scalable provisioning of network and service resources for different services to fulfil the requirement of various emerging verticals [45].…”
Section: Communication Services Ecosystemmentioning
confidence: 99%