A Bipartite Graph Based Spectrum Portfolio Auction Method for Cognitive Radio Networks
A cognitive radio and bipartite graph technology, applied in network planning, wireless communication, electrical components, etc., can solve problems such as insufficient spectrum auction performance and fairness of cognitive radio networks, and achieve high spectrum auction revenue and high computational complexity Effect
Active Publication Date: 2019-06-07
上海汇视通数字科技有限公司
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[0011] In view of this, the purpose of the present invention is to propose a bipartite graph-based cognitive radio network spectrum combination auction method, which overcomes the insufficient performance and fairness of cognitive radio network spectrum auctions that exist in current multi-spectrum owners and multi-cognitive user bidders effectively increase the revenue of spectrum auctions, ensure the allocation of spectrum to more cognitive users, and ensure the rationality and authenticity of spectrum auctions
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[0036] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.
[0037] Such as figure 1 As shown, this embodiment provides a bipartite graph-based cognitive radio network spectrum combination auction method, using a bipartite graph to model the spectrum auction problem of a cognitive radio network with multiple primary users and multiple heterogeneous cognitive users, The KM algorithm is iteratively used to solve the maximum weighted perfect matching of the spectrum auction bipartite graph until the primary user can no longer be allocated. On the basis of the above allocation, the allocated cognitive users among the primary users are readjusted and replaced, thereby realizing the revenue of the spectrum auction and performance improvements. The specific implementation of the plan has the following three main steps: spectrum auction bidding phase, spectrum auction winner decision phase, spectrum auction result calcu...
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The invention relates to a cognitive radio network frequency spectrum combination auction method based on a bipartite graph. The cognitive radio network frequency spectrum combination auction method comprises the following steps: firstly, collecting frequency spectrum information of a main user and tendering information of a competitive bidding frequency spectrum of a cognitive user by an auction control center; then, initializing the bipartite graph of frequency spectrum combination auction by the auction control center; then, determining the cognitive user with distribution of a combination frequency spectrum auction performing winner decision making algorithm by the auction control center; and finally, calculating frequency spectrum auction income by the auction control center and sending a message to the cognitive user to announce. With the adoption of the cognitive radio network frequency spectrum combination auction method, the problems that cognitive radio network frequency spectrum combination auction performances and fairness of current multi-frequency owners and multi-cognitive users are not enough are solved and the frequency spectrum auction income is effectively improved; and frequency spectrum can be distributed to more cognitive users and the reasonability and the realness of the frequency spectrum auction are guaranteed.
Description
technical field [0001] The invention relates to the field of cognitive radio networks, in particular to a bipartite graph-based spectrum combination auction method for cognitive radio networks. Background technique [0002] Cognitive radio technology is an important candidate technology for next-generation wireless communication systems. Spectrum allocation is a key technology in the physical layer of cognitive radio networks. The goal of spectrum allocation is to meet the communication bandwidth requirements of mobile users in cognitive networks and ensure communication quality of service. The auction mechanism is an effective means to realize the efficient use of spectrum allocation. The rationality and authenticity of spectrum auctions are guaranteed by designing a reasonable auction mechanism, thereby maximizing the use of spectrum resources. [0003] In the existing spectrum auction method with multiple bidders and multiple bidders, it is assumed that there are M={1,2,....
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IPC IPC(8): H04W16/14G06Q30/08
CPCG06Q30/08H04W16/14
Inventor 冯慧斌林耿余兆钗阮志强
Owner 上海汇视通数字科技有限公司