Hierarchical Resource Allocation in Multi-Service Wireless Networks With Wireless Network Virtualization
To balance the contradiction between the rapid growth of data service demands and the limited spectrum resources, wireless network virtualization (WNV) has been proposed as a promising technology by isolating and sharing wireless resources among different virtual networks in the future wireless netw...
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| Vydáno v: | IEEE transactions on vehicular technology Ročník 69; číslo 10; s. 11811 - 11827 |
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| Hlavní autoři: | , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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New York
IEEE
01.10.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 0018-9545, 1939-9359 |
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| Abstract | To balance the contradiction between the rapid growth of data service demands and the limited spectrum resources, wireless network virtualization (WNV) has been proposed as a promising technology by isolating and sharing wireless resources among different virtual networks in the future wireless networks. In this paper, a two-dimension-time-scale hierarchical resource allocation scheme is proposed in the multi-service wireless virtualized network, which consists of three 5G generic scenarios. The resource slicing problem is decomposed into two time scales including large time period for inter-slice resource pre-allocation and small time slot for intra-slice resource scheduling. In large time period, the inter-slice resource pre-allocation problem is formulated as a multi-objective optimization problem (MOOP) by modeling the packets arriving and serving process of each slice as a queueing system. While in small time slot, the resource block (RB) and power scheduling in each slice is formulated as a stochastic optimization problem considering dynamic traffic arrivals and time-varying channel conditions, which is aimed at optimizing the overall performance subject to various quality of service (QoS) requirements such as network stability, delay, reliability, transmission rate and power constraints. The stochastic optimization problem can be transformed into a delay-aware optimization problem by applying Lyapunov optimization technique, and be solved by the proposed algorithm consisting of a heuristic algorithm and a concave optimization algorithm. The simulation results show that the proposed schemes are close to the optimal solution with a lower complexity, which can also achieve a performance-delay tradeoff related to the control factor. |
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| AbstractList | To balance the contradiction between the rapid growth of data service demands and the limited spectrum resources, wireless network virtualization (WNV) has been proposed as a promising technology by isolating and sharing wireless resources among different virtual networks in the future wireless networks. In this paper, a two-dimension-time-scale hierarchical resource allocation scheme is proposed in the multi-service wireless virtualized network, which consists of three 5G generic scenarios. The resource slicing problem is decomposed into two time scales including large time period for inter-slice resource pre-allocation and small time slot for intra-slice resource scheduling. In large time period, the inter-slice resource pre-allocation problem is formulated as a multi-objective optimization problem (MOOP) by modeling the packets arriving and serving process of each slice as a queueing system. While in small time slot, the resource block (RB) and power scheduling in each slice is formulated as a stochastic optimization problem considering dynamic traffic arrivals and time-varying channel conditions, which is aimed at optimizing the overall performance subject to various quality of service (QoS) requirements such as network stability, delay, reliability, transmission rate and power constraints. The stochastic optimization problem can be transformed into a delay-aware optimization problem by applying Lyapunov optimization technique, and be solved by the proposed algorithm consisting of a heuristic algorithm and a concave optimization algorithm. The simulation results show that the proposed schemes are close to the optimal solution with a lower complexity, which can also achieve a performance-delay tradeoff related to the control factor. |
| Author | Jia, Sijia Tao, Xiaofeng Zhang, Xuefei Han, Yan |
| Author_xml | – sequence: 1 givenname: Yan orcidid: 0000-0002-5963-7351 surname: Han fullname: Han, Yan email: hy90515@bupt.edu.cn organization: National Engineering Lab for Mobile Network Technologies, Beijing University of Posts and Telecommunications, Beijing, China – sequence: 2 givenname: Xiaofeng orcidid: 0000-0001-9518-1622 surname: Tao fullname: Tao, Xiaofeng email: taoxf@bupt.edu.cn organization: National Engineering Lab for Mobile Network Technologies, Beijing University of Posts and Telecommunications, Beijing, China – sequence: 3 givenname: Xuefei orcidid: 0000-0001-7096-9667 surname: Zhang fullname: Zhang, Xuefei email: zhangxuefei@bupt.edu.cn organization: National Engineering Lab for Mobile Network Technologies, Beijing University of Posts and Telecommunications, Beijing, China – sequence: 4 givenname: Sijia surname: Jia fullname: Jia, Sijia email: jiasijia@bupt.edu.cn organization: Department of Beijing Science and Technology Co, three fast online, Beijing, China |
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| Cites_doi | 10.1109/TBC.2015.2492458 10.1145/3117811.3117831 10.1109/LCOMM.2017.2701803 10.1109/COMST.2016.2532458 10.1109/EuCNC.2017.7980743 10.1016/j.comnet.2006.05.001 10.1007/978-3-319-15299-8 10.1109/TNET.2012.2190419 10.1007/b99875 10.1002/nav.3800020109 10.1007/s00158-003-0368-6 10.1109/INFCOMW.2018.8406827 10.1109/CISS.2018.8362271 10.1109/COMST.2018.2811395 10.1109/GLOCOM.2016.7841489 10.1007/s11432-017-9045-1 10.1109/TCCN.2018.2878028 10.1109/PIMRC.2017.8292663 10.1561/0100000088 10.1109/ICCW.2013.6649273 10.1109/WMNC.2010.5678740 10.1109/TMC.2015.2506578 10.1109/APCC.2018.8633472 10.1109/TCC.2017.2727044 10.1109/TNSM.2016.2597295 10.1109/VTCFall.2014.6966044 10.1109/TMC.2017.2742949 10.2200/S00271ED1V01Y201006CNT007 10.1109/COMST.2014.2352118 10.1109/ACCESS.2018.2871506 10.1109/ACCESS.2018.2818751 10.1109/TNET.2011.2179063 10.1109/ACCESS.2018.2872781 10.1109/WIMOB.2010.5645039 10.1109/TVT.2016.2531184 10.1109/MWC.2015.7054720 10.1109/TIT.2011.2178150 10.1109/ICOIN.2017.7899529 10.1109/JSAC.2016.2544639 10.1109/GLOCOM.2017.8254655 |
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| SubjectTerms | 5G mobile communication Algorithms Delay Heuristic algorithms Heuristic methods Lyapunov optimization multi-objective optimization problem Multiple objective analysis Network reliability Optimization Optimization techniques Quality of service architectures Queuing theory Resource allocation Resource management Resource scheduling Scheduling Slicing Transmission rate (communications) Virtual networks wireless network virtualization Wireless networks |
| Title | Hierarchical Resource Allocation in Multi-Service Wireless Networks With Wireless Network Virtualization |
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