Spectrum assignment method based on market in clustering self-organizing network

Abstract

The invention relates to a spectrum assignment method based on market in a clustering self-organizing network, which is based on a three-stage spectrum assignment market model. A cluster head node purchases spectrum from a spectrum management center according to the business proportion, and a spectrum assignment algorithm based on supply and demand market theory is used in the cluster, thereby maximizing cluster yield. The method comprises the following steps of: updating current idle spectrum information in real time by the spectrum management center according to the master user spectrum use condition; periodically updating common node business volume requested by a relay in the cluster by a cluster head and submitting the data to the spectrum management center as the reference order for subscribing the spectrum; and selling all the spectra to each cluster head by the spectrum management center according to the reference order in business proportion. The cluster head is considered as the spectrum (commodity) provider, common nodes in the cluster are considered as consumers in the spectrum commodity market, and the cluster head node and all the common nodes in the cluster negotiate to determine the unit price and bandwidth for trading the spectrum by using the supply and demand market theory, which ensures that both sides are satisfied, thereby maximizing cluster yield in the system.

Description

technical field [0001] The invention relates to a market-based three-level frequency spectrum allocation implementation scheme especially used in a cognitive Ad Hoc network, and belongs to the technical field of communication. Background technique [0002] In recent years, with the extensive development of wireless communication services, spectrum resources have become increasingly scarce. The main reason is the unreasonable use of wireless spectrum access technology, that is, the existing wireless communication systems all use low-efficiency fixed channel allocation. Strategy. Cognitive radio is considered to be one of the most effective new technologies to solve this problem. It allows cognitive users to share the frequency band without affecting the normal communication of legitimate users in the frequency band. [0003] Dynamic spectrum allocation technology is an important part of cognitive wireless network design, and plays a vital role in realizing the secondary util...

AI Technical Summary

Problems solved by technology

[0012] However, the clustering algorithm itself will bring computing, communication and maintenance overhead, in order to reduce the negative impact of the clustering algorithm, it is necessary to improve the performance of the clustering algorithm, especially to reduce communication and maintenance overhead

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