|
|
Optimal Resource Allocation Mechanism for Electric Power Wireless Virtual Networks |
MENG Luoming① SUN Kang① WEI Lei② GUO Shaoyong① XU Siya① |
①(State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China)
②(State Grid Jiangsu Power Supply Company, Nanjing 210008, China) |
|
|
Abstract To guarantee the isolation of the smart grid business and optimize the allocation of wireless resources, an optimal resource allocation mechanism for electric power wireless virtual networks is proposed. First, a virtualization system model according to the characteristics of electric power wireless network is proposed, and abstract physical wireless resource is built to realize resource sharing. Then, a wireless resource allocation model with several factors is designed, which are network cost, profit, service isolation constraint, backhaul bandwidth constraint, and QoS constraints. Finally, a tabu search algorithm based on these models is designed to allocate virtual resource to realize business isolation and QoS requirements. The simulation results show that, the proposed network model and optimal resources allocation mechanism can support QoS requirements, reduce the energy consumption of base stations, as well as improve the economic benefits of the network.
|
Received: 12 October 2016
Published: 14 April 2017
|
|
Fund: The State Grid JiangSu Electric Power Company Technology Project (J2016044) |
Corresponding Authors:
SUN Kang
E-mail: sunkang@bupt.edu.cn
|
|
|
|
[1] |
LIANG Chengchao and YU F R. Wireless network virtualization: A survey, some research issues and challenges[J]. IEEE Communications Surveys & Tutorials, 2015, 17(1): 358-380. doi:10.1109/COMST.2014.2352118.
|
[2] |
ZHU Ruiyi, TAN Xiaobin, YANG Jian, et al. An adaptive wireless resource allocation scheme with QoS guaranteed in smart grid[C]. 2013 IEEE PES Innovative Smart Grid Technologies (ISGT), Washington DC, USA, 2013: 1-6. doi: 10.1109/ISGT.2013.6497855.
|
[3] |
YU Rong, ZHONG Weifeng, XIE Shengli, et al. QoS differential scheduling in cognitive-radio-based smart grid networks: An adaptive dynamic programming approach[J]. IEEE Transactions on Neural Networks and Learning Systems, 2016, 27(2): 435-443. doi: 10.1109/TNNLS.2015. 2411673.
|
[4] |
Lü Pin, WANG Xudong, YANG Yang, et al. Network virtualization for smart grid communications[J]. IEEE Systems Journal, 2015, 8(2): 471-482. doi: 10.1109/JSYST. 2013.2260695.
|
[5] |
YANG Mao, LI Yong, JIN Depeng, et al. Opportunistic spectrum sharing based resource allocation for wireless virtualization[C]. 2013 Seventh International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), Taichung, China, 2013: 51-58. doi: 10.1109/ IMIS.2013.18.
|
[6] |
YUN D Y, OK J, SHIN B, et al. Embedding of virtual network requests over static wireless multihop networks[J]. Computer Networks, 2013, 57(5): 1139-1152. doi: 10.1016/ j.comnet.2012.12.006.
|
[7] |
CAO Bin, LANG Wenqiang, et al. Power allocation in wireless network virtualization with buyer/seller and auction game[C]. 2015 IEEE Global Communications Conference (GLOBECOM), San Diego, CA, USA, 2015: 1-6. doi: 10.1109/GLOCOM.2015.7417554.
|
[8] |
BELT J V D, AHMADI H, and DOYLE L E. A dynamic embedding algorithm for wireless network virtualization[C]. 2014 IEEE 80th Vehicular Technology Conference (VTC2014), Vancouver, Canada, 2014: 1-6. doi: 10.1109/VTCFall.2014. 6965811.
|
[9] |
ZUBOW A, DORING M, CHWALISZ M, et al. A SDN approach to spectrum brokerage in infrastructure-based cognitive radio networks[C]. 2015 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN), Stockholm, Sweden 2015: 375-384. doi:10.1109/DySPAN.2015. 7343933.
|
[10] |
ESPOSITO F and CHITI F. Distributed consensus-based auctions for wireless virtual network embedding[C]. 2015 IEEE International Conference on Communications (ICC), London, UK, 2015: 472-477. doi: 10.1109/ICC.2015. 7248366.
|
[11] |
RAHMAN M M, DESPINS C, and AFFES S. HetNet cloud: Leveraging SDN & cloud computing for wireless access virtualization[C]. 2015 IEEE International Conference on Ubiquitous Wireless Broadband (ICUWB), Montreal, QC, Canada, 2015: 1-5. doi: 10.1109/ICUWB.2015.7324454.
|
[12] |
ZHOU Boyang, CAO Wen, ZHAO Shanshan, et al. Virtual network mapping for multi-domain data plane in software-defined networks[C]. 2014 4th International Conference on Wireless Communications, Vehicular Technology, Information Theory and Aerospace & Electronic Systems (VITAE), Aalborg, Denmark, 2014: 1-5. doi: 10.1109/VITAE.2014.6934439.
|
[13] |
LU Ganqiang, LIU Caixia, LI Lingshu, et al. A dynamic allocation algorithm for physical carrier resource in BBU pool of virtualized wireless network[C]. 2015 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), Xi’an, China, 2015: 434-441. doi: 10.1109/CyberC.2015.23.
|
[14] |
KAMEL M I, LE L B, and GIRARD A. LTE multi-cell dynamic resource allocation for wireless network virtualization[C]. 2015 IEEE Wireless Communications and Networking Conference (WCNC), New Orleans, LA, USA, 2015: 966-971. doi: 10.1109/WCNC.2015.7127600.
|
[15] |
DAI Qinglong, SHOU Guochu, HU Yihong, et al. A general model for hybrid fiber-wireless (FiWi) access network virtualization[C]. 2013 IEEE International Conference on Communications Workshops (ICC), Budapest, Hungary, 2013: 858-862. doi: 10.1109/ICCW.2013.6649354.
|
[16] |
KOKKU R, MAHINDRA R, ZHANG H, et al. NVS: A substrate for virtualizing wireless resources in cellular networks[J]. IEEE/ACM Transactions on Networking, 2012, 20(5): 1333-1346. doi: 10.1109/TNET.2011.2179063.
|
[17] |
NG D W K, LO E S, and SCHOBER R. Dynamic resource allocation in MIMO-OFDMA systems with full-duplex and hybrid relaying[J]. IEEE Transactions on Communications, 2012, 60(5): 1291-1304. doi: 10.1109/TCOMM.2012.031712. 110233.
|
|
|
|