Multi-target frequency spectrum allocation method based on quantum flower pollination search mechanism in cognitive heterogeneous network

Abstract

The invention relates to a multi-target frequency spectrum allocation method based on a quantum flower pollination search mechanism in a cognitive heterogeneous network, and the method is realized based on a multi-target quantum flower pollination search mechanism. The method comprises the steps that the wireless access network perception module in a base station perceives network information; (2) a network reconstruction management module performs multi-granularity channel division on the frequency spectrum resource; (3) a quantum pollen set including P quantum pollens is initialized; (4) each individual pollen in the pollen set is mapped as a frequency spectrum allocation matrix to be corrected; (5) the transformation probability of cross-pollination and self-pollination in the quantum flower pollination search mechanism is set; (6) the new generation of pollen set and the previous generation of pollen set are mixed; (7) the appropriate pollens are selected from Pareto front-end solutions and mapped as the frequency spectrum allocation matrix; and (8) the network reconstruction management module partitions the optimal allocation matrix. The problem of multi-target frequency spectrum allocation can be solved so as to enhance the utilization rate of the frequency spectrum.

Description

Technical field [0001] The invention relates to a multi-target spectrum allocation method based on a quantum flower pollination search mechanism in a cognitive heterogeneous network realized by a multi-target quantum flower pollination search mechanism. Background technique [0002] In order to adapt to different communication environments and growing user business needs, mobile wireless communication has experienced the development from the first generation to the fourth generation. However, there is no obvious time limit for the update of each generation. From the new generation of communication systems It will take a long time to fully replace the old generation. It is inevitable that users of new and old networks that apply different technical standards will coexist. It can be seen that heterogeneous wireless networks in which multiple access networks coexist have become the trend of future wireless network development. Wireless communication will inevitably occupy spectrum ...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to address the deficiencies of the existing spectrum allocation methods in cognitive heterogeneous networks, and propose a quantum flower pollination-based search in cognitive heterogeneous networks that effectively solves the problem of discrete multi-objective spectrum allocation in cognitive heterogeneous networks Mechanism-based multi-objective spectrum allocation method

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