Virtual wireless network resource allocation method based on channel pricing

Abstract

The invention discloses a virtual wireless network resource allocation method based on channel pricing. The virtual wireless network resource allocation method is a matching / Stackelberg hierarchical game based on channel pricing. The user satisfaction based on the stream bandwidth, the system bandwidth and the slice power are respectively taken as reward functions, a joint optimization model for the three-layer architecture virtual network is established, and solving is performed by adopting a matching / Stackelberg hierarchical game. A game lower layer defines an MVNOm-InPn pair and a one-to-one matching game between the MVNOm-InPn pair and UEs, a slice power price based on channel average information is defined, upper-layer game information is coupled, the number of iterations is reduced,and a rejection-receiving algorithm with low calculation complexity is given, so that a user selects the optimum under the condition that slice power is equal. The game high layer is an InPs and Stackelberg game, and a power pricing and allocation strategy based on channel local information is given, so that the system utility and the resource utilization rate are optimal. And double-layer circulation and stabilization conditions are given.

Description

technical field [0001] The invention belongs to the field of wireless communication, and in particular relates to a virtual wireless network resource allocation method based on channel pricing. Background technique [0002] Due to its good flexibility, programmability, easy customization, and isolation, wireless network virtualization has been proposed as the main networking mode for future 5G to achieve multi-service and large-connection goals. In wireless network virtualization technology, appropriate network architecture and effective resource allocation strategy are the key technologies to improve resource utilization and user satisfaction. In the two-level architecture model in which the basic resource provider layer InPs directly provides resources to the user layer UEs, since the virtual network operation layer MVNOs is not included, the computational complexity is high, and on-chip instantiation cannot be realized. In the virtual network of the three-level architect...

AI Technical Summary

Problems solved by technology

In the layered game solution of the model, a mechanism for realizing virtualization through opportunistic spectrum sharing is commonly used, but incomplete isolation reduces the practicability, and MVNOs resource allocation algorithm based on the bankruptcy game, but only considers the low-level mechanism It is difficult to achieve the optimization of the entire virtual network. The layered auction mechanism that combines UEs and MVNOs and MVNOs and InPs secondary auctions is used more, which can ensure the maximum overall utility and sub-optimal resource allocation, but requires the centralization of a third party The control method makes the system complex and cannot guarantee the maximum individual utility

The hierarchical matching game can overcome the shortcomings of the hierarchical auction mechanism. The hierarchical matching game mechanism between UEs and MVNOs and MVNOs and InPs is used to solve the two-stage joint optimization problem of business selection and resource purchase under the three-level structure. The decentralized The implementation method makes the system relatively simple, but the utility function and price in the optimization model ignore the wireless channel factor, and cannot adapt to the wireless environment, especially the high dynamic wireless environment with fast channel changes. At the same time, the upper and lower layers of the layered game The lack of coupling information, the random pricing mechanism of each layer, and the lack of optimal resource allocation mechanism on-chip lead to problems such as large-scale calculation iterations, inability to track channel status, and low resource utilization. In view of the above problems, we need to implement virtual wireless Improvement of the existing optimization model and hierarchical game mechanism of network resource allocation

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