Network as a Service - A Demo on 5G Network Slicing

2016 ◽  
Author(s):  
Rastin Pries ◽  
Hans-Jochen Morper ◽  
Nandor Galambosi ◽  
Michael Jarschel
Keyword(s):  
Network Slicing ◽  
5G Network

scholarly journals Towards 5G Network Slicing over Multiple-Domains

2017 ◽  
Vol E100.B (11) ◽  
pp. 1992-2006 ◽  
Author(s):  
Ibrahim AFOLABI ◽  
Adlen KSENTINI ◽  
Miloud BAGAA ◽  
Tarik TALEB ◽  
Marius CORICI ◽  
...  
Keyword(s):  
Network Slicing ◽  
5G Network ◽  
Multiple Domains

scholarly journals Admission and Congestion Control for 5G Network Slicing

2018 ◽  
Author(s):  
Bin Han ◽  
Antonio DeDomenico ◽  
Ghina Dandachi ◽  
Anastasios Drosou ◽  
Dimitrios Tzovaras ◽  
...  
Keyword(s):  
Congestion Control ◽  
Network Slicing ◽  
5G Network

scholarly journals An Introduction to 5G Network Slicing Technology

Telecom IT ◽  
2019 ◽  
Vol 7 (4) ◽  
pp. 21-29
Author(s):  
B. Goldstein ◽  
V. Elagin ◽  
K. Kobzev ◽  
A. Grebenshchikova
Keyword(s):  
Service Providers ◽  
Smart Cities ◽  
Effective Means ◽  
Cost Effective ◽  
Network Slicing ◽  
Radio Access ◽  
5G Network ◽  
High Bandwidth ◽  
Shared Infrastructure ◽  
Levels Of Service

Communications Service Providers are looking to 5G technology as an enabler for new revenues, with network slicing providing a cost-effective means of supporting multiple services on shared infrastructure. Different radio access technologies, network architectures, and core functions can be brought together under software control to deliver appropriate Quality of Service “slices,” enabling new levels of service innovation, such as high bandwidth for video applications, low latency for automation, and mass connectivity for Smart Cities.

Application of Fuzzy Logic for Slice QoS in 5G Networks

2021 ◽  
Vol 12 (2) ◽  
pp. 18-35
Author(s):  
Phudit Ampririt ◽  
Ermioni Qafzezi ◽  
Kevin Bylykbashi ◽  
Makoto Ikeda ◽  
Keita Matsuo ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Additional Parameter ◽  
Software Defined Network ◽  
5G Networks ◽  
Network Slicing ◽  
Fifth Generation ◽  
5G Network ◽  
Simulation Results ◽  
Qos Performance

The fifth generation (5G) network is expected to be flexible to satisfy quality of service (QoS) requirements, and the software-defined network (SDN) with network slicing will be a good approach for admission control. In this paper, the authors present and compare two fuzzy-based schemes to evaluate the QoS (FSQoS). They call these schemes FSQoS1 and FSQoS2. The FSQoS1 considers three parameters: slice throughput (ST), slice delay (SD), and slice loss (SL). In FSQoS2, they consider as an additional parameter the slice reliability (SR). So, FSQoS2 has four input parameters. They carried out simulations for evaluating the performance of the proposed schemes. From simulation results, they conclude that the considered parameters have different effects on the QoS performance. The FSQoS2 is more complex than FSQoS1, but it has a better performance for evaluating QoS. When ST and SR are increasing, the QoS parameter is increased. But, when SD and SL are increasing, the QoS is decreased. When ST is 0.1, SD is 0.1, SL is 0.1, and the QoS is increased by 32.02% when SR is increased from 0.3 to 0.8.

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