Spectrum resource allocation method based on packet game switching and optimized power control

Abstract

Provided is a spectrum resource configuration method based on grouped game exchange and optimized power control in cognitive radio. The method comprises steps of: (1) while the QoS demands of PUs and SUs are guaranteed, maximizing the total net earning of the PUs, wherein the optimization problem is described as a multivariable non-convexity optimization problem; (2) according to the characteristics of a problem P1, decomposing the problem P1 into a problem (P1-bottom) and a problem (P1-top), wherein the problem (P1-bottom) solves the power distribution problem at the bottom layer and optimizes the power distribution of each user on the condition that a SUs set access to the PU k is given, and the problem (P1-top) further optimizes the selection of the access user when the solution of the problem (P1-bottom) is given; and (3) optimizing the access user set of the problem (P1-bottom) by using an access user selection and power distribution combined control method. The method increases system spectrum utilization ratio and optimizes the configuration of system resources.

Description

technical field [0001] The invention relates to the field of cognitive radio networks, in particular to a spectrum resource configuration method based on packet game exchange and optimized power control in cognitive radio. Background technique [0002] While mobile devices are becoming more and more intelligent, mobile data traffic is growing explosively, and the contradiction between the limited available spectrum resources and the growing demand for mobile data traffic is becoming more and more prominent. Dynamic Spectrum Access (DSA), as an effective supplement to traditional fixed spectrum allocation methods in mobile networks, intelligently reuses unlicensed systems (PrimarySystem-PS) or authorized users (Primary User-PUs) that cannot be fully utilized The licensed spectrum resources utilized enable unlicensed users (Secondary User-SUs) to access the licensed spectrum of the PU for data transmission in a timely manner, thereby effectively improving spectrum utilization....

AI Technical Summary

Problems solved by technology

[0003] In order to overcome the inability of the existing dynamic spectrum access method to ensure that spectrum sharing can optimize the spectrum resource allocation in the DSA network, the present invention considers two parts of interference including between PUs and SUs and between different SUs, and proposes a While the QoS of PUs and SUs is guaranteed, the optimal power control method is achieved by maximizing the net income of PUs. The proposed power control method has a two-layer structure, which improves the performance of the method while reducing the computational complexity. Effectiveness and Efficiency

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