Method for selecting target networks for multi-mode terminals according to parallel immune genetic algorithm

An immune genetic algorithm and multi-mode terminal technology, applied in the field of multi-mode terminal selection target network based on parallel immune genetic algorithm, can solve problems such as shortening calculation time, immature convergence, single memory unit, etc. Overcome single memory cell and improve the effect of average service quality

Inactive Publication Date: 2013-02-06
BEIJING UNIV OF POSTS & TELECOMM +1
View PDF2 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] When a multi-mode terminal selects a target network that can guarantee service quality, it needs to comprehensively refer to multiple factors, which belongs to the multi-objective combination optimization problem under multiple constraints. The existing traditional genetic algorithm has the defects of single memory unit and prone to immature convergence. The parallel immune genetic algorithm can avoid the problem of a single memory unit, and can prevent premature convergence, improve the calculation efficiency of the algorithm, and shorten the calculation time; therefore, the application of parallel immune genetic algorithm to select the target network that guarantees the quality of service for multi-mode terminals becomes New Topics Concerned by Industry Researchers

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for selecting target networks for multi-mode terminals according to parallel immune genetic algorithm
  • Method for selecting target networks for multi-mode terminals according to parallel immune genetic algorithm
  • Method for selecting target networks for multi-mode terminals according to parallel immune genetic algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0033] A method for multi-mode terminal selection target network based on parallel immune genetic algorithm includes the following steps:

[0034] S1: The multi-mode terminal sends its quality of service value in each wireless network to the base station;

[0035] S2: The base station receives the various service quality values, calls the parallel immune genetic algorithm, and selects the target network for each multi-mode terminal; the parallel immune genetic algorithm includes the following steps:

[0036] S21: Perform initialization parameter settings for the target network and population, generate initial antibodies, and set the total number of algorithm iterations;

[0037] S22: Calculate the affinity of the antibody;

[0038] S23: Update the memory unit according to the affinity;

[0039] S24: Divide and migrate the antibody populations that have evolved in parallel, and the antibody populations have independent memory units;

[0040] S25: Determine whether the set maximum number of...

Embodiment 2

[0056] This embodiment specifically describes how the base station allocates the optimized target network based on the service quality value of the multi-mode terminal in each network, and then based on the parallel immune genetic algorithm of the present invention.

[0057] Such as figure 1 As shown, the implementation steps of the parallel immune genetic algorithm when selecting the target network for the multi-mode terminal are introduced in detail:

[0058] S21: Perform initialization parameter settings on the target network and population, generate initial antibodies, and set the total number of algorithm iterations; specifically include the following operations:

[0059] Use natural numbers k and s to sequentially number all multi-mode terminals participating in the selection and all target networks of different modes, and set the total number of multi-mode terminals and target networks to K and S respectively;

[0060] Set the code length of each individual population to be the ...

Embodiment 3

[0077] This embodiment implements the solution in Embodiment 2 by setting specific values. Among them, there are four types of target networks, 30 to 40 multimode terminals, and all multimode terminals are in these four target networks. Within the coverage area, and each multi-mode terminal can freely switch to any of these four target networks, the maximum number of multi-mode terminals that each target network can accommodate at the same time is 18. In this embodiment, the quality of service value of each multimode terminal in each target network is randomly distributed between 0 and 1, and the minimum quality of service value of each multimode terminal is 0.2. For the convenience of description, this embodiment The example only gives the service quality values ​​of the first eight multi-mode terminals:

[0078]

Terminal 1

Terminal 2

Terminal 3

Terminal 4

Terminal 5

Terminal 6

Terminal 7

Terminal 8

Network A

0.1536

0.7154

0.2899

0.2838

0.8759

0.8624

...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a method for selecting target networks for multi-mode terminals according to the parallel immune genetic algorithm, which is characterized by comprising the following steps: (S1) the multi-mode terminals send the service quality value in each kind of wireless network to a base station; and (S2) the base station receives each service quality value, and calling the parallel immune genetic algorithm to select the target network for each multi-mode terminal. Due to the adoption of the parallel immune genetic algorithm, the problem of single memory unit is avoided, the problem on long delay caused by immaturely-converged algorithm used to select the target networks, the computing time of the algorithm is improved, and the computing time is shortened.

Description

Technical field [0001] The invention relates to the field of wireless communication, in particular to a method for multi-mode terminal selection target network based on parallel immune genetic algorithm. Background technique [0002] With the rapid development of wireless technology, more and more wireless networks appear in people's lives, and the trend of network multi-mode is becoming more and more obvious; multiple wireless networks coexist, forming mutually complementary, overlapping multi-modes Therefore, multi-mode terminals capable of supporting multiple target networks of different modes at the same time emerged; when multi-mode terminals are under the coverage of networks of different modes at the same time, the base station is required to assign a maximum value to them according to certain service requirements. When the communication quality drops or the multi-mode terminal moves, the base station can select another better target network for it, and it can ensure that ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): H04W48/18H04W88/06
Inventor 唐碧华张洪光张立佳吴帆范文浩刘元安
Owner BEIJING UNIV OF POSTS & TELECOMM
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap