Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

An optimization method for multi-user and multi-channel spectrum sensing in cognitive radio networks

A cognitive radio and spectrum sensing technology, which is applied in the field of radio sensing network spectrum optimization, can solve problems such as short transmission delay, and achieve the effect of improving utilization rate, improving channel communication quality, and making information transmission more efficient.

Active Publication Date: 2019-05-03
NANJING UNIV OF POSTS & TELECOMM
View PDF1 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Technical issues: In cognitive radio networks, the limited number of channels in the radio, the increase in the number of secondary users, and the increase in the amount of data transmission have brought great challenges to the data transmission of secondary users. In multiple secondary users , when the number of channels is limited and the communication of the primary user is not affected, how to optimize the data transmission scheme so that the average data transmission energy consumption of the cognitive users is low and the transmission delay is short is one of the problems in the cooperative allocation of cognitive radio data transmission. one

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
  • An optimization method for multi-user and multi-channel spectrum sensing in cognitive radio networks
  • An optimization method for multi-user and multi-channel spectrum sensing in cognitive radio networks

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0035] Combine below figure 1 The specific implementation of the present invention is described in more detail.

[0036]In the implementation of multi-user multi-channel spectrum sensing optimization method in cognitive radio network, the sensing process, game process, allocation process and transmission process are the four processes.

[0037] Assuming that there are c sensing users, each sensing user transmits a small data to each channel not occupied by the primary user while sensing the channel, and obtains the transmission delay T of the channel transmission process ij , and energy consumption E ij ;Transmission delay T ij Including the transmission delay of sensing user i sensing channel j, energy consumption E ij Including the energy consumption of sensing user i sensing channel j.

[0038] In the specific implementation, according to the sensing process in the previous step, the transmission delay T from the i-th sensing user to the j-th channel sensing process is ...

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 present invention provides a multi-user multi-channel spectrum sensing optimization method for a cognitive radio network, which is a multi-user multi-channel spectrum sensing optimization method for a cognitive radio network based on game theory and binary optimal matching. In the cognitive radio network sensing process of the channel, each sensing user calculates and selects a smaller consumption index to reduce the transmission delay and energy consumption in the information transmission process; the bipartite optimal matching algorithm is used to optimize channel selection. The method of the invention can effectively improve the communication quality of the cognitive radio network.

Description

technical field [0001] The invention relates to a spectrum optimization method for a wireless sensing network, which mainly uses a non-cooperative game theory algorithm and an optimal bipartite matching algorithm to optimize the average time delay and average energy consumption of sensing users when multi-sensing users and multiple channels perform data transmission, It belongs to the cross-technical application field of radio communication technology field and game theory. Background technique [0002] Cognitive radio (CR, cognitive radio) is an intelligent communication system that can discover and take advantage of the idle frequency band of the authorized system in time and space. And use the available spectrum in this space, and limit and reduce the occurrence of conflicts. [0003] Non-cooperative game theory means that in a strategic environment, the non-cooperative framework regards the actions of all people as individual actions, that is to say, in a strategic comb...

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 Patents(China)
IPC IPC(8): H04W16/10H04W28/08H04W72/08H04W72/54
CPCH04W16/10H04W28/08H04W72/54Y02D30/70
Inventor 岳文静蒲昱陈志刘敏陆海亚
Owner NANJING UNIV OF POSTS & TELECOMM
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com