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Authorized user frequency spectrum pricing method based on Bertrand static game

A technology of authorized users and spectrum pricing, applied in the field of authorized user spectrum pricing, it can solve the problems of high algorithm complexity, such as the design of the benefit function of authorized users, and achieve the effect of reducing complexity, simple algorithm, and efficient utilization.

Active Publication Date: 2014-12-17
HARBIN INST OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The present invention aims to solve the problems of high algorithm complexity and too idealized design of authorized user benefit function in the existing spectrum pricing method, thereby providing a Bertrand static game-based authorized user spectrum pricing method

Method used

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  • Authorized user frequency spectrum pricing method based on Bertrand static game
  • Authorized user frequency spectrum pricing method based on Bertrand static game
  • Authorized user frequency spectrum pricing method based on Bertrand static game

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specific Embodiment approach 1

[0013] Specific implementation mode one: combine figure 1 Illustrate this specific embodiment, the authorized user spectrum pricing method based on Bertrand static game in the cognitive radio system, it is realized by the following steps:

[0014] Step 1. According to the spectrum demand function of the cognitive user to the authorized user, the demand matrix of the cognitive user is obtained;

[0015] Step 2. Based on the demand matrix obtained in Step 1, use the residual value theory to establish a cognitive user benefit function;

[0016] Step 3. According to the cognitive user benefit function described in step 2, obtain the spectrum demand function of the cognitive user for the licensed user;

[0017] Step 4. On the basis of the first three steps, design the benefit function of authorized users. Firstly, consider the spectrum income of authorized users, and secondly, consider the loss caused by the authorization due to spectrum sales, so as to obtain the benefit function...

specific Embodiment approach 2

[0021] Specific implementation mode two: this implementation mode is a further description of specific implementation mode one, and the specific process of step one is as follows:

[0022] In the cognitive radio system, the whole system is considered as a differentiated multi-oligopoly market model, where there are IV oligarchs, namely authorized users, and M consumers, namely cognitive users, p i Spectrum price established for licensed user j, q i is the amount of spectrum sold. Cognitive user demand function can be expressed as a linear function, then the spectrum demand of cognitive users to authorized users can be expressed as:

[0023] p j = α j -γ j,1 q 1 -γ j,2 q 2 ...-γ j,i q i -γ j,N q N ;

[0024] In the formula, α j = log 2 (1+K·SNR j ); K is the spectrum gap; SNR j is the signal-to-noise ratio; γ j,i Spectrum substitution between authorized users, its value range is: -1≤γ j,i ≤1 when γ j,i =1 means that the licensed user spectrum can be completel...

specific Embodiment approach 3

[0028] Specific implementation mode three: this implementation mode is a further description of specific implementation mode one or two, and the specific process of step two is as follows:

[0029] According to the demand matrix obtained in step 1, the cognitive user benefit function is established using the residual value theory, which can be expressed as:

[0030] u SU =∫(α-γ·Q)dQ-P·Q Τ ;

[0031] Through further derivation, the cognitive user benefit function expression is as follows:

[0032] U SU ( P ) = Σ j = 1 N α j q j - 1 2 ( Σ i = 1 N ...

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Abstract

The invention relates to an authorized user frequency spectrum pricing method, particularly relates to an authorized user frequency spectrum pricing method the Bertrand static game and is to solve the problem that existing frequency spectrum pricing methods are high in algorithm complexity, and excessively ideal in design of benefit functions of authorized users. The method includes the following steps of obtaining a requirement matrix of secondary users; establishing a benefit function of the secondary users by using a theory of surplus values according to the requirement matrix; obtaining a frequency spectrum demand function of the secondary users to authorized users according to the benefit function of the secondary users; obtaining a benefit function of the authorized users on the basis of the prior three steps; using the Bertrand game theory to obtain nash equilibrium of a payoff function which is the benefit function of the authorized users; and establishing a simultaneous system of equations to obtain stable frequency spectrum prices of each authorized user so as to achieve frequency spectrum pricing. The authorized user frequency spectrum pricing method can be applied to cognitive radio communication systems.

Description

technical field [0001] The invention relates to a Bertrand static game-based spectrum pricing method for authorized users. Background technique [0002] In a cognitive radio communication system, cognitive users obtain licensed spectrum information through spectrum detection, so as to use channels in an idle state. However, there is an inevitable error probability in spectrum detection, which will affect authorized users. Therefore, while cognitive users use authorized frequency bands, they should provide certain economic compensation to authorized users. This is a very valuable idea to promote the development of cognitive radio. Therefore, it is extremely important to formulate a feasible spectrum pricing strategy for authorized users. According to the relationship between licensed users and cognitive users in the cognitive radio communication system, citing the theory of differentiated oligopoly market economy can well solve the spectrum pricing problem for licensed users...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04B17/00H04B17/382
Inventor 马琳杨小龙谭学治孙鹏飞王孝
Owner HARBIN INST OF TECH