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Spectrum allocation method based on immune multi-objective optimization in cognitive mesh network

A multi-objective optimization and spectrum allocation technology, which is applied to the allocation of spectrum resources in cognitive Mesh networks, can solve problems such as limitations that cannot achieve optimal performance, and achieve the effect of optimizing spectrum allocation performance and meeting user needs

Inactive Publication Date: 2017-12-15
TIANJIN POLYTECHNIC UNIV +5
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  • Abstract
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  • Application Information

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Problems solved by technology

The present invention mainly solves the limitation that most of the existing cognitive Mesh network spectrum allocation studies use the linear programming method to solve the optimization problem of a certain target, and often cannot achieve the optimal performance.

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  • Spectrum allocation method based on immune multi-objective optimization in cognitive mesh network
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  • Spectrum allocation method based on immune multi-objective optimization in cognitive mesh network

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Embodiment Construction

[0035] The specific embodiments, structures, features, and effects of the present invention will be described in detail below with reference to the accompanying drawings and preferred embodiments.

[0036] Such as figure 1 A spectrum allocation method based on immune multi-objective optimization in a cognitive Mesh network is shown, which includes the following steps:

[0037] (1) Obtain a user distribution map when the idle spectrum is detected;

[0038] In the embodiment of the present invention, the cognitive wireless Mesh network is modeled as a simple graph G=(V, E). Among them: V represents the set of cognitive nodes, each node v i The set of available spectrum perceived by ∈V is k i ; E is the set of edges, which indicates whether two cognitive nodes can communicate directly when there are publicly available spectrums. Set V=15, E=10, the number of CRMesh nodes N=|V|, the number of available channels is |K|=5, and an optimization goal of spectrum allocation is to maximize th...

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Abstract

The invention relates to a frequency spectrum distribution method based on immunization multi-target optimization in a cognitive Mesh network. The method comprises the steps of detecting an idle spectrum to obtain a user distribution diagraph, (2) performing antibody coding on spectrum distribution problems and performing mapping on the problems and the immunization method, (3) generating an initialized antibody population, (4) performing a population clone operation, (5) performing a population variation operation, (6) performing a population selection operation, (7) and outputting the population. The invention can find more excellent solution set, can satisfy the multi-target of spectrum distribution during optimization, can improve the solution efficiency and flexibility, and is applicable to the distribution of the spectrum resource of the cognitive Mesh network.

Description

Technical field [0001] The invention belongs to the field of wireless communication, and relates to a spectrum allocation method based on immune multi-object optimization in a cognitive Mesh network, and is particularly suitable for allocating spectrum resources of the cognitive Mesh network. Background technique [0002] With the continuous development of wireless communication services, wireless spectrum resources are increasingly scarce. Cognitive radio is considered to be an effective way to solve the shortage of wireless spectrum resources. Wireless Mesh network (wireless mesh network) is a new type of wireless network that combines the advantages of wireless local area network and Ad hoc network. It has the characteristics of flexible networking, large capacity, high speed, and wide coverage. It is suitable for broadband wireless networks. The backbone transmission environment has received extensive attention from the industry. [0003] The wireless network that combines co...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W16/14
Inventor 柴争义李亚伦杨亚楠郑丽萍王献荣
Owner TIANJIN POLYTECHNIC UNIV
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