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

Power allocation method in cognitive radio network (CRN) and application thereof in smart transportation network

A distribution method and power technology, applied in power management, wireless communication, electrical components, etc., can solve problems such as not being able to meet the communication needs between vehicle terminals

Inactive Publication Date: 2018-07-31
SHANDONG UNIV OF FINANCE & ECONOMICS
View PDF9 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

To sum up, in the materials that have been consulted so far, how to design a power allocation method that guarantees statistical delay QoS requirements in a secure cognitive radio network has not been discussed when the channel state information is incomplete.
[0005] In addition, in the field of intelligent transportation network technology, the frequency band currently used for communication between vehicle terminals is: 5855MHz-5925MHz, but with the substantial increase in the number of users and communication needs, only 70MHz cannot meet the communication needs between vehicle terminals

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
  • Power allocation method in cognitive radio network (CRN) and application thereof in smart transportation network
  • Power allocation method in cognitive radio network (CRN) and application thereof in smart transportation network
  • Power allocation method in cognitive radio network (CRN) and application thereof in smart transportation network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0048] refer to figure 1 , the secure cognitive radio network communication model adopted in this embodiment includes four communication nodes: a primary user receiving end, a secondary user transmitting end, a secondary user receiving end, and an eavesdropping end. Under the condition that the interference power to the receiving end of the primary user is lower than the interference temperature, the transmitting end of the secondary user sends a signal to the receiving end of the secondary user. It is assumed that the channel information between secondary users and the channel information between secondary users and eavesdropping users are completely known. During this communication process, the eavesdropping end will eavesdrop on the communication signal, and the secondary user sending end will perform dynamic power allocation according to the change of the channel state and the QoS requirements of the upper-layer user, so that the communication system can be completed under...

Embodiment 2

[0085] This embodiment is based on the cognitive radio network power allocation method provided in Embodiment 1, and proposes a cognitive radio-based intelligent transportation network system. The system detects the idle frequency bands of authorized users and accurately allocates power Unauthorized cognitive users are allowed to use the authorized user's frequency band to communicate when the authorized user does not use the authorized frequency band or does not interfere with the authorized user, thereby effectively alleviating the shortage of spectrum resources in the communication between vehicle terminals.

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 relates to a power allocation method in a cognitive radio network (CRN) and application thereof in a smart transportation network, belonging to the technical field of radio communication. The technical solution comprises steps of acquiring non-ideal channel state information through a non-blind channel estimation method; setting an interference power threshold which ensures that primary user communication is not affected by secondary users; constructing a robustness optimization problem by using a safe, effective capacity as a target function and a power limit as a constraint, resolving an optimal dual factor through a Lagrange duality theory, so as to resolve an optimal transmit power to realize optimal power allocation; and transmitting data by secondary users according toan allocated power. The method enables the safe cognitive radio network to meet the QoS requirement of user statistics delay, and has advantages of low calculation complexity and high channel adaptability, thereby having important theoretical and practical significance.

Description

technical field [0001] The invention relates to the technical field of wireless communication, in particular to a power allocation method in a CRN and its application in an intelligent traffic network. Background technique [0002] The problem of low utilization of spectrum resources in wireless communication seriously restricts the development of new generation mobile communication network. Cognitive radio technology can effectively improve spectrum utilization, thereby alleviating the shortage of wireless spectrum resources. It flexibly selects idle spectrum resources through the active cognition of the local electromagnetic environment by network nodes, so as to make full use of time-frequency holes and improve spectrum utilization efficiency. The cognitive radio communication method based on spectrum sharing allows the secondary user and the primary user to access the authorized frequency band of the primary user at the same time, but the transmitting end of the seconda...

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): H04W52/24H04W52/26H04W72/04H04W72/08H04W72/54
CPCH04W52/241H04W52/244H04W52/265H04W72/0473H04W72/543H04W72/541H04W72/542
Inventor 张新马艳波秦升平杨潇郭强刘伟龙
Owner SHANDONG UNIV OF FINANCE & ECONOMICS
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