DeSlice: An Architecture for QoE-Aware and Isolated RAN Slicing
Network slicing is considered a key feature of 5G and beyond cellular systems. It opens the door for new business models of mobile operators, enables new services, reduces costs with advanced infrastructure-sharing techniques, and improves heterogeneous traffic service. With slicing, the operators c...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-04-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/23/9/4351 |
| _version_ | 1797601645984481280 |
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| author | Mikhail Liubogoshchev Dmitry Zudin Artem Krasilov Alexander Krotov Evgeny Khorov |
| author_facet | Mikhail Liubogoshchev Dmitry Zudin Artem Krasilov Alexander Krotov Evgeny Khorov |
| author_sort | Mikhail Liubogoshchev |
| collection | DOAJ |
| description | Network slicing is considered a key feature of 5G and beyond cellular systems. It opens the door for new business models of mobile operators, enables new services, reduces costs with advanced infrastructure-sharing techniques, and improves heterogeneous traffic service. With slicing, the operators can tailor the network resources to the requirements of specific verticals, applications, and corresponding traffic types. To satisfy the heterogeneous quality of service (QoS) requirements of various slices, efficient virtualization and resource allocation algorithms are required. Such algorithms are especially crucial for the radio access network (RAN) because of the spectrum scarcity. This article develops DeSlice, a novel architecture for RAN slicing. DeSlice enables efficient real-time slicing algorithms that satisfy heterogeneous QoS requirements of the slices and improve the quality of experience for their end users. The article illustrates the advantages of DeSlice by considering the problem of the joint service of cloud VR, video, and web traffic. It develops the algorithms using DeSlice architecture and application-to-network communication. With simulations, it shows that, together, the architecture and the algorithms allow greatly improving the QoE for these traffics significantly. |
| first_indexed | 2024-03-11T04:06:34Z |
| format | Article |
| id | doaj.art-13a3b8e1e8164df4a04b7a0390c5aa39 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T04:06:34Z |
| publishDate | 2023-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-13a3b8e1e8164df4a04b7a0390c5aa392023-11-17T23:43:12ZengMDPI AGSensors1424-82202023-04-01239435110.3390/s23094351DeSlice: An Architecture for QoE-Aware and Isolated RAN SlicingMikhail Liubogoshchev0Dmitry Zudin1Artem Krasilov2Alexander Krotov3Evgeny Khorov4Institute for Information Transmission Problems of the Russian Academy of Sciences, 127051 Moscow, RussiaInstitute for Information Transmission Problems of the Russian Academy of Sciences, 127051 Moscow, RussiaInstitute for Information Transmission Problems of the Russian Academy of Sciences, 127051 Moscow, RussiaInstitute for Information Transmission Problems of the Russian Academy of Sciences, 127051 Moscow, RussiaInstitute for Information Transmission Problems of the Russian Academy of Sciences, 127051 Moscow, RussiaNetwork slicing is considered a key feature of 5G and beyond cellular systems. It opens the door for new business models of mobile operators, enables new services, reduces costs with advanced infrastructure-sharing techniques, and improves heterogeneous traffic service. With slicing, the operators can tailor the network resources to the requirements of specific verticals, applications, and corresponding traffic types. To satisfy the heterogeneous quality of service (QoS) requirements of various slices, efficient virtualization and resource allocation algorithms are required. Such algorithms are especially crucial for the radio access network (RAN) because of the spectrum scarcity. This article develops DeSlice, a novel architecture for RAN slicing. DeSlice enables efficient real-time slicing algorithms that satisfy heterogeneous QoS requirements of the slices and improve the quality of experience for their end users. The article illustrates the advantages of DeSlice by considering the problem of the joint service of cloud VR, video, and web traffic. It develops the algorithms using DeSlice architecture and application-to-network communication. With simulations, it shows that, together, the architecture and the algorithms allow greatly improving the QoE for these traffics significantly.https://www.mdpi.com/1424-8220/23/9/4351network slicingresource allocationwireless networks5Gnetwork assistancecross-layer interaction |
| spellingShingle | Mikhail Liubogoshchev Dmitry Zudin Artem Krasilov Alexander Krotov Evgeny Khorov DeSlice: An Architecture for QoE-Aware and Isolated RAN Slicing Sensors network slicing resource allocation wireless networks 5G network assistance cross-layer interaction |
| title | DeSlice: An Architecture for QoE-Aware and Isolated RAN Slicing |
| title_full | DeSlice: An Architecture for QoE-Aware and Isolated RAN Slicing |
| title_fullStr | DeSlice: An Architecture for QoE-Aware and Isolated RAN Slicing |
| title_full_unstemmed | DeSlice: An Architecture for QoE-Aware and Isolated RAN Slicing |
| title_short | DeSlice: An Architecture for QoE-Aware and Isolated RAN Slicing |
| title_sort | deslice an architecture for qoe aware and isolated ran slicing |
| topic | network slicing resource allocation wireless networks 5G network assistance cross-layer interaction |
| url | https://www.mdpi.com/1424-8220/23/9/4351 |
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