Cognitive radio spectrum sharing method based on supply-demand balance

Abstract

The invention aims to provide a spectrum sharing method based on supply-demand balance in a cognitive radio system. The method applies the supply-demand balance theory to the spectrum sharing of cognitive radio, and supply and demand models are used for describing a primary user and a secondary user respectively. The spectrum quantity and will provided by the primary user is a supply function, and spectrum quantity required by the secondary user is a demand function; the cost paid by the secondary for obtaining spectrums is income obtained by the primary user for providing spectrums; and suchcost (or income), namely the equilibrium solution in the supply-demand theory, is determined through negotiation between the two parties. According to the determined spectrum sharing cost, the remaining battery capacity of the secondary user terminal and the trust of the primary user on different secondary users in spectrum access, the primary user plays game on the premise of maximizing benefitsand finally determines the shared spectrum number.

Description

technical field [0001] The invention relates to a scheme for dynamically cooperating with spectrum in a cognitive radio system, in particular to a non-cooperative game resource sharing method based on the balance theory of supply and demand, and belongs to the field of communication technology. Background technique [0002] Dynamic spectrum access networks (DSANs), also known as cognitive radio networks, will provide mobile users with greater bandwidth through heterogeneous wireless structures and dynamic spectrum access technologies. In cognitive radio networks, one of the main challenges of open spectrum systems is spectrum sharing. Therefore, the issue of spectrum sharing in cognitive radio has always been a hot topic in theoretical research at home and abroad. Since the concept of cognitive radio was proposed and developed, Many scholars have proposed many analytical models for spectrum co-working in cognitive radio, most of which are based on some classic mathematical t...

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Problems solved by technology

However, the spectrum co-working completion time of the first model is related to the number of idle channels and the dynamic characteristics of the network, which is not suitable for the rapid time-varying requirements of the idle spectrum in cognitive radio, nor is it suitable for the spectrum sharing research under the dynamic network environment. The second model is suitable for the cognitive radio system in which the relationship between primary and secondary users is leased, and the application range is limited

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