Method for allocating dynamic frequency spectrums of cognitive network based on inverse image description

Abstract

The invention provides a method for allocating dynamic frequency spectrums of a cognitive network based on inverse image description, mainly solving the problems of higher user cost and lower frequency spectrum service efficiency in the traditional awareness network. The method comprises the following steps of: (1) extracting an inverse image from a frequency spectrum interference pattern of the cognitive network to obtain an inverse image model G, and allocating m frequency spectrums to N users by the model G through using color groups; (2) allocating the N users in the inverse image model Gto m color groups by a graph theory method; and (3) sequentially arranging the m color groups according to the descending order of node numbers, sequentially allocating the m frequency spectrums to the arranged color groups according to the increasing order of costs, wherein one color group corresponds to one frequency spectrum to make users represented by nodes of the same one color group shareone frequency spectrum, and the shared frequency spectrum is the frequency spectrum allocated to the located color group, and then the frequency spectrum allocation of the cognitive network is finished. The invention can efficiently reduce the total cost of user for buying the frequency spectrums in the cognitive network and improve the service efficiency of the frequency spectrums.

Description

technical field [0001] The invention belongs to the technical field of wireless communication networks, and relates to dynamic frequency spectrum allocation of a cognitive network, which is used for reducing the total cost of spectrum purchase by users in the cognitive network and improving the use efficiency of the frequency spectrum. Background technique [0002] Today's wireless communication network adopts a fixed spectrum allocation policy, that is, the government allocates fixed spectrum to fixed registered users or allocates spectrum use rights according to geographical location. This allocation method makes the use efficiency of spectrum only 15%- Between 80%. With the continuous expansion of the scope of radio applications, the scarcity of spectrum resources has become an important issue that cannot be avoided in the field of radio application research. The cognitive radio technology proposed by Dr. JosephMitola starts from the idea of ​​spectrum reuse, which can e...

AI Technical Summary

Problems solved by technology

[0005] The existing dynamic spectrum allocation method for cognitive networks only randomly allocates the detected idle spectrum to the users who want to use it, without considering the cost of users, the efficiency of spectrum use, and the quality of communication services, thus increasing the The cost of user communication reduces the efficiency of spectrum use, and also affects the quality of user communication, causing users to be interfered by other signals during communication, affecting their normal communication

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