A Novel Approach to Multi-Provider Network Slice Selector for 5G and Future Communication Systems
The Network Slice Selection Function (NSSF) in heterogeneous technology environments is a complex problem, which still does not have a fully acceptable solution. Thus, the implementation of new network selection strategies represents an important issue in development, mainly due to the growing deman...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-08-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/22/16/6066 |
| _version_ | 1797408034909061120 |
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| author | Douglas Chagas da Silva José Olimpio Rodrigues Batista Marco Antonio Firmino de Sousa Gustavo Marques Mostaço Claudio de Castro Monteiro Graça Bressan Carlos Eduardo Cugnasca Regina Melo Silveira |
| author_facet | Douglas Chagas da Silva José Olimpio Rodrigues Batista Marco Antonio Firmino de Sousa Gustavo Marques Mostaço Claudio de Castro Monteiro Graça Bressan Carlos Eduardo Cugnasca Regina Melo Silveira |
| author_sort | Douglas Chagas da Silva |
| collection | DOAJ |
| description | The Network Slice Selection Function (NSSF) in heterogeneous technology environments is a complex problem, which still does not have a fully acceptable solution. Thus, the implementation of new network selection strategies represents an important issue in development, mainly due to the growing demand for applications and scenarios involving 5G and future networks. This work presents an integrated solution for the NSSF problem, called the Network Slice Selection Function Decision-Aid Framework (NSSF DAF), which consists of a distributed solution in which a part is executed on the user’s equipment (for example, smartphones, Unmanned Aerial Vehicles, IoT brokers) functioning as a transparent service, and another at the Edge of the operator or service provider. It requires a low consumption of computing resources from mobile devices and offers complete independence from the network operator. For this purpose, protocols and software tools are used to classify slices, employing the following four multicriteria methods to aid decision making: VIKOR (Visekriterijumska Optimizacija i Kompromisno Resenje), COPRAS (Complex Proportional Assessment), TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) and Promethee II (Preference Ranking Organization Method for Enrichment Evaluations). The general objective is to verify the similarity among these methods and applications to the slice classification and selection process, considering a specific scenario in the framework. It also uses machine learning through the K-means clustering algorithm, adopting a hybrid solution in the implementation and operation of the NSSF service in multi-domain slicing environments of heterogeneous mobile networks. Testbeds were conducted to validate the proposed framework, mapping the adequate quality of service requirements. The results indicate a real possibility of offering a complete solution to the NSSF problem that can be implemented in Edge, in Core, or even in the 5G Radio Base Station itself, without the incremental computational cost of the end user’s equipment, allowing for an adequate quality of experience. |
| first_indexed | 2024-03-09T03:52:30Z |
| format | Article |
| id | doaj.art-72c8cf4f0bd64acda0f4b4abcde5b1c8 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T03:52:30Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-72c8cf4f0bd64acda0f4b4abcde5b1c82023-12-03T14:26:07ZengMDPI AGSensors1424-82202022-08-012216606610.3390/s22166066A Novel Approach to Multi-Provider Network Slice Selector for 5G and Future Communication SystemsDouglas Chagas da Silva0José Olimpio Rodrigues Batista1Marco Antonio Firmino de Sousa2Gustavo Marques Mostaço3Claudio de Castro Monteiro4Graça Bressan5Carlos Eduardo Cugnasca 6Regina Melo Silveira7Department of Computer Engineering and Digital Systems, Escola Politécnica, University of São Paulo, São Paulo 05508010, BrazilDepartment of Computer Engineering and Digital Systems, Escola Politécnica, University of São Paulo, São Paulo 05508010, BrazilDepartment of Computer Engineering and Digital Systems, Escola Politécnica, University of São Paulo, São Paulo 05508010, BrazilDepartment of Computer Engineering and Digital Systems, Escola Politécnica, University of São Paulo, São Paulo 05508010, BrazilFederal Institute of Tocantins, Computer Networks Research Group, Palmas 77021090, BrazilDepartment of Computer Engineering and Digital Systems, Escola Politécnica, University of São Paulo, São Paulo 05508010, BrazilDepartment of Computer Engineering and Digital Systems, Escola Politécnica, University of São Paulo, São Paulo 05508010, BrazilDepartment of Computer Engineering and Digital Systems, Escola Politécnica, University of São Paulo, São Paulo 05508010, BrazilThe Network Slice Selection Function (NSSF) in heterogeneous technology environments is a complex problem, which still does not have a fully acceptable solution. Thus, the implementation of new network selection strategies represents an important issue in development, mainly due to the growing demand for applications and scenarios involving 5G and future networks. This work presents an integrated solution for the NSSF problem, called the Network Slice Selection Function Decision-Aid Framework (NSSF DAF), which consists of a distributed solution in which a part is executed on the user’s equipment (for example, smartphones, Unmanned Aerial Vehicles, IoT brokers) functioning as a transparent service, and another at the Edge of the operator or service provider. It requires a low consumption of computing resources from mobile devices and offers complete independence from the network operator. For this purpose, protocols and software tools are used to classify slices, employing the following four multicriteria methods to aid decision making: VIKOR (Visekriterijumska Optimizacija i Kompromisno Resenje), COPRAS (Complex Proportional Assessment), TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) and Promethee II (Preference Ranking Organization Method for Enrichment Evaluations). The general objective is to verify the similarity among these methods and applications to the slice classification and selection process, considering a specific scenario in the framework. It also uses machine learning through the K-means clustering algorithm, adopting a hybrid solution in the implementation and operation of the NSSF service in multi-domain slicing environments of heterogeneous mobile networks. Testbeds were conducted to validate the proposed framework, mapping the adequate quality of service requirements. The results indicate a real possibility of offering a complete solution to the NSSF problem that can be implemented in Edge, in Core, or even in the 5G Radio Base Station itself, without the incremental computational cost of the end user’s equipment, allowing for an adequate quality of experience.https://www.mdpi.com/1424-8220/22/16/60665Gbeyond 5Gnetworks softwarizationmulti-criteria decision methodsNetwork Slice Selection Function (NSSF) |
| spellingShingle | Douglas Chagas da Silva José Olimpio Rodrigues Batista Marco Antonio Firmino de Sousa Gustavo Marques Mostaço Claudio de Castro Monteiro Graça Bressan Carlos Eduardo Cugnasca Regina Melo Silveira A Novel Approach to Multi-Provider Network Slice Selector for 5G and Future Communication Systems Sensors 5G beyond 5G networks softwarization multi-criteria decision methods Network Slice Selection Function (NSSF) |
| title | A Novel Approach to Multi-Provider Network Slice Selector for 5G and Future Communication Systems |
| title_full | A Novel Approach to Multi-Provider Network Slice Selector for 5G and Future Communication Systems |
| title_fullStr | A Novel Approach to Multi-Provider Network Slice Selector for 5G and Future Communication Systems |
| title_full_unstemmed | A Novel Approach to Multi-Provider Network Slice Selector for 5G and Future Communication Systems |
| title_short | A Novel Approach to Multi-Provider Network Slice Selector for 5G and Future Communication Systems |
| title_sort | novel approach to multi provider network slice selector for 5g and future communication systems |
| topic | 5G beyond 5G networks softwarization multi-criteria decision methods Network Slice Selection Function (NSSF) |
| url | https://www.mdpi.com/1424-8220/22/16/6066 |
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