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

Channel Allocation Method Based on Mobility Prediction in Cognitive Radio Networks

A cognitive radio and channel allocation technology, applied in wireless communication, network planning, electrical components, etc., can solve the problems of not considering the mobility characteristics of cognitive users, poor system fairness, and low utilization of effective channels.

Active Publication Date: 2016-08-03
HARBIN INST OF TECH
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention aims to solve the problem of low effective channel utilization rate and poor system fairness caused by the traditional channel static spectrum allocation method without considering the mobility characteristics of cognitive users, thereby providing a mobility prediction-based channel allocation method in a cognitive radio network

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
  • Channel Allocation Method Based on Mobility Prediction in Cognitive Radio Networks
  • Channel Allocation Method Based on Mobility Prediction in Cognitive Radio Networks
  • Channel Allocation Method Based on Mobility Prediction in Cognitive Radio Networks

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach 1

[0051] Specific implementation mode 1. Combination figure 1 Describe this specific implementation mode, a channel allocation method based on mobility prediction in a cognitive radio network, which is implemented by the following steps:

[0052] Step 1. Initialize. In the deployment area, randomly generate the position and velocity vectors of N (i=1:N) cognitive users (including size and orientation). Each cognitive user i predicts a continuous time period T p , at time period T pThe current available channels in the network are continuously available for cognitive user i; each cognitive user i calculates the interference time between itself and other cognitive users i′ (i′=1:N) as T p ′, note: i≠i′.

[0053] Randomly generate fixed geographic locations of M (j=1:M) authorized users, whose locations obey a uniform distribution. Each authorized user has a dedicated authorized channel corresponding to it, that is, each authorized user can use a corresponding authorized cha...

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

A channel allocation method based on mobility prediction in a cognitive radio network relates to a channel allocation technology in a cognitive radio technology in a communication system. It is to solve the problem of low effective channel utilization and poor system fairness caused by traditional channel static spectrum allocation method without considering the mobility characteristics of cognitive users. This method first sets the available channel probability threshold α and the interference edge probability threshold β, predicts each subgraph according to the interference relationship between mobile cognitive users, and predicts each cognitive subgraph in the subgraph according to the interference relationship between mobile cognitive users and authorized users. The user's available channel list, so as to obtain the predicted topology map of the entire network and the predicted available channel list of each cognitive user. Then, from the perspective of fairness, channel allocation is performed for each predicted subgraph one by one. The allocation of each subgraph is to solve the maximum independent set first, and then uniformly allocate channels to the nodes in the subgraph. The present invention is applicable to channel allocation in cognitive radio networks.

Description

technical field [0001] The invention relates to the channel allocation technology in the cognitive radio technology in the communication system. Background technique [0002] Cognitive radio is considered as a viable smart technology for future 4G wireless networks or ad hoc networks. Cognitive users can opportunistically access authorized channels but cannot cause interference to corresponding authorized channels. This requires an effective and optimal data link layer scheduling scheme to quickly perform periodic dynamic channel allocation. Therefore, channel allocation, as a key link in its technical realization, has very important research significance. [0003] So far, models based on graph theory, game theory, and interference temperature have been used to solve the problem of spectrum allocation in cognitive radio networks, and some results have been achieved. However, the mobility characteristics of cognitive users are rarely considered in channel allocation scheme...

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): H04W16/14H04W72/04
Inventor 徐玉滨陈佳美马琳赵洪林崔扬
Owner HARBIN INST OF TECH
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