Optimal Resource Allocation Mechanism for Electric Power Wireless Virtual Networks

MENG Luoming; SUN Kang; WEI Lei; GUO Shaoyong; XU Siya

doi:10.11999/JEIT161043

Volume 39 Issue 7

Jul. 2017

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MENG Luoming, SUN Kang, WEI Lei, GUO Shaoyong, XU Siya. Optimal Resource Allocation Mechanism for Electric Power Wireless Virtual Networks[J]. Journal of Electronics & Information Technology, 2017, 39(7): 1711-1718. doi: 10.11999/JEIT161043

Citation:

MENG Luoming, SUN Kang, WEI Lei, GUO Shaoyong, XU Siya. Optimal Resource Allocation Mechanism for Electric Power Wireless Virtual Networks[J]. Journal of Electronics & Information Technology, 2017, 39(7): 1711-1718. doi: 10.11999/JEIT161043

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Optimal Resource Allocation Mechanism for Electric Power Wireless Virtual Networks

doi: 10.11999/JEIT161043

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)

Funds:

The State Grid JiangSu Electric Power Company Technology Project (J2016044)

Received Date: 2016-10-12
Rev Recd Date: 2017-02-22
Publish Date: 2017-07-19

Abstract

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.
- Network virtualization,
- Power wireless network,
- Resource allocation,
- Tabu search,
- Optimization

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References(17)

References

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