Unlock instant, AI-driven research and patent intelligence for your innovation.

Network selection method based on weighted GRA and genetic algorithm

A network selection and genetic algorithm technology, applied in the field of user network selection, can solve problems such as difficulties and select utility functions, and achieve the effects of small packet jitter, good overall network performance, and improved user service quality.

Active Publication Date: 2019-06-14
NANJING UNIV OF POSTS & TELECOMM
View PDF4 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, it is difficult to choose an appropriate utility function according to user needs and the characteristics of the network itself.

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
  • Network selection method based on weighted GRA and genetic algorithm
  • Network selection method based on weighted GRA and genetic algorithm
  • Network selection method based on weighted GRA and genetic algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] The method of the present invention will be further introduced below in conjunction with the accompanying drawings and specific embodiments.

[0046] See figure 1 , which shows a schematic flow chart of a network selection method based on weighted GRA and genetic algorithm. The idea of ​​the present invention is to use the weighted GRA and the genetic algorithm to solve the network selection problem of the heterogeneous network, and the analytic hierarchy process (AHP) is used to obtain the weight of the subjective attributes under different services as the initial solution of the weight. Considering the subjectivity of AHP attribute weights, the genetic algorithm is used to dynamically adjust the weights, which not only respects the user's subjective preferences, but also combines the genetic algorithm to objectively and reasonably allocate attribute weights. The combination of subjectivity and objectivity provides users with a more reasonable choice of network. acces...

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 discloses a network selection method based on a weighted GRA and a genetic algorithm. According to the method, user services in a heterogeneous wireless network scene are divided into three service types, namely a session service type, a streaming media service type and an interaction service type. The method comprises: endowing each service with different judgment matrixes, and using the AHP to solve subjective weights of network attributes as initial values; secondly, adjusting a traditional GRA algorithm, defining a fitness function by using weighted GRA, continuously adjusting the initial weight by using a genetic algorithm, dynamically finding the optimal fitness, and obtaining a network corresponding to the optimal fitness as the optimal network. The service quality ofthe network is effectively improved.

Description

technical field [0001] The invention belongs to the field of user network selection in mobile communication technology, in particular to a network selection method based on weighted GRA and genetic algorithm. Background technique [0002] Now the user's location is usually covered by multiple wireless networks, and these networks have different characteristics. For example, wireless broadband technology has high data transmission rate and limited coverage, while cellular network has wide coverage but high tariffs. Each of these networks has its own strengths and weaknesses. No network can meet all the needs of users, and no one can replace the other in a short period of time. Therefore, how to design an efficient network access mechanism to provide users with seamless handover and service quality assurance is an important research topic in the field of wireless communication. [0003] Many classic network selection algorithms prefer to use utility function to evaluate the p...

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): H04W48/16H04W48/18
Inventor 朱琦李旺红朱洪波杨龙祥
Owner NANJING UNIV OF POSTS & TELECOMM