Abstract
Wireless aeronautics virtualization enables multiple concurrent wireless aeronautics networks running on the shared wireless network substrate resources. It enhances the resource utilities of spectrum resources, helps for the innovation of physical resources and network services, and improves the QoS guarantee. Resource allocation problem of wireless virtualization, which is how to efficiently assign the physical spectrum resources to several virtual networks, is the primary problem of wireless virtualization. However, the related works generally assume only one physical network, and do not take the economic relationship between infrastructure networks providers (InPs) and service (virtual network) providers (SPs) into consideration. In order to handle this problem, this paper presents a pricing based resource allocation algorithm in wireless aeronautics network virtualization. First, we build up system models under the circumstance of multiple physical networks and multiple virtual networks, and then by using a concave pricing strategy, we present a novel genetic algorithm. Simulation results show our algorithm could provide more revenues for InPs, and show pricing strategy may play an important role on the resource allocation problem in wireless virtualization.
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Acknowledgement
This work was supported in part by Science and Technology on Avionics Integration Laboratory and the Aeronautical Science Foundation of China (Grant No. 20185553035).
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Wang, K., Zheng, X., Yang, M., Yan, Z., Li, B. (2021). Pricing Based Resource Allocation Algorithm in Wireless Aeronautics Network Virtualization. In: Li, B., Li, C., Yang, M., Yan, Z., Zheng, J. (eds) IoT as a Service. IoTaaS 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 346. Springer, Cham. https://doi.org/10.1007/978-3-030-67514-1_9
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DOI: https://doi.org/10.1007/978-3-030-67514-1_9
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