Queue Stability-Based Virtual Resource Allocation for Virtualized Wireless Networks With Self-Backhauls
Wireless network virtualization and self-backhauled small-cell networks are considered as two promising technologies to enable next generation wireless networks. In this paper, we propose an integrated framework for the wireless network virtualization problem under the frequency division duplexing s...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2018-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8268057/ |
| _version_ | 1819162252848136192 |
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| author | Lun Tang Xixi Yang Xiaolin Wu Taiping Cui Qianbin Chen |
| author_facet | Lun Tang Xixi Yang Xiaolin Wu Taiping Cui Qianbin Chen |
| author_sort | Lun Tang |
| collection | DOAJ |
| description | Wireless network virtualization and self-backhauled small-cell networks are considered as two promising technologies to enable next generation wireless networks. In this paper, we propose an integrated framework for the wireless network virtualization problem under the frequency division duplexing selfbackhaul mechanism. In this context, the dynamic virtual resource allocation issue is formulated as an optimization problem, aiming at the maximization of the average total utility of the virtualized network. In the mean time, the network queue stability, the minimum average data rate for each service provider and the capacity constraint of the backhaul link are expected to be satisfied. To solve this optimization problem, the Lyapunov optimization method is adopted to overcome the challenge from the stochastic properties exhibited in the original problem, and a real-time scheduling algorithm is then investigated based on the current queue status information and the channel state information. Specifically, a Lagrange dual decomposition and an improved particle swarm optimization with random mutation are employed to ensure the effectiveness of the proposed algorithm. Simulation results are presented to verify the proposed algorithm. |
| first_indexed | 2024-12-22T17:25:17Z |
| format | Article |
| id | doaj.art-8d47cd3204ea45278eb270e14aab1faf |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-22T17:25:17Z |
| publishDate | 2018-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-8d47cd3204ea45278eb270e14aab1faf2022-12-21T18:18:44ZengIEEEIEEE Access2169-35362018-01-016136041361610.1109/ACCESS.2018.27970888268057Queue Stability-Based Virtual Resource Allocation for Virtualized Wireless Networks With Self-BackhaulsLun Tang0Xixi Yang1https://orcid.org/0000-0003-2479-0935Xiaolin Wu2https://orcid.org/0000-0001-5437-3740Taiping Cui3Qianbin Chen4Key Laboratory of Mobile Communication, Chongqing University of Posts and Telecommunications, Chongqing, ChinaKey Laboratory of Mobile Communication, Chongqing University of Posts and Telecommunications, Chongqing, ChinaKey Laboratory of Mobile Communication, Chongqing University of Posts and Telecommunications, Chongqing, ChinaKey Laboratory of Mobile Communication, Chongqing University of Posts and Telecommunications, Chongqing, ChinaKey Laboratory of Mobile Communication, Chongqing University of Posts and Telecommunications, Chongqing, ChinaWireless network virtualization and self-backhauled small-cell networks are considered as two promising technologies to enable next generation wireless networks. In this paper, we propose an integrated framework for the wireless network virtualization problem under the frequency division duplexing selfbackhaul mechanism. In this context, the dynamic virtual resource allocation issue is formulated as an optimization problem, aiming at the maximization of the average total utility of the virtualized network. In the mean time, the network queue stability, the minimum average data rate for each service provider and the capacity constraint of the backhaul link are expected to be satisfied. To solve this optimization problem, the Lyapunov optimization method is adopted to overcome the challenge from the stochastic properties exhibited in the original problem, and a real-time scheduling algorithm is then investigated based on the current queue status information and the channel state information. Specifically, a Lagrange dual decomposition and an improved particle swarm optimization with random mutation are employed to ensure the effectiveness of the proposed algorithm. Simulation results are presented to verify the proposed algorithm.https://ieeexplore.ieee.org/document/8268057/Wireless network virtualizationself-backhaulreal-time schedulingLyapunovqueue stability |
| spellingShingle | Lun Tang Xixi Yang Xiaolin Wu Taiping Cui Qianbin Chen Queue Stability-Based Virtual Resource Allocation for Virtualized Wireless Networks With Self-Backhauls IEEE Access Wireless network virtualization self-backhaul real-time scheduling Lyapunov queue stability |
| title | Queue Stability-Based Virtual Resource Allocation for Virtualized Wireless Networks With Self-Backhauls |
| title_full | Queue Stability-Based Virtual Resource Allocation for Virtualized Wireless Networks With Self-Backhauls |
| title_fullStr | Queue Stability-Based Virtual Resource Allocation for Virtualized Wireless Networks With Self-Backhauls |
| title_full_unstemmed | Queue Stability-Based Virtual Resource Allocation for Virtualized Wireless Networks With Self-Backhauls |
| title_short | Queue Stability-Based Virtual Resource Allocation for Virtualized Wireless Networks With Self-Backhauls |
| title_sort | queue stability based virtual resource allocation for virtualized wireless networks with self backhauls |
| topic | Wireless network virtualization self-backhaul real-time scheduling Lyapunov queue stability |
| url | https://ieeexplore.ieee.org/document/8268057/ |
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