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

Self-adapting accidental beam mode selection method of wireless cognition network

A cognitive network and mode selection technology, applied in diversity/multi-antenna systems, space transmit diversity, error prevention/detection through diversity reception, etc. Problems such as the user channel coherence is too large to achieve the effect of improving the utilization rate

Inactive Publication Date: 2008-10-29
ZHEJIANG UNIV
View PDF1 Cites 16 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the problems of low practicality and high algorithm complexity in the above-mentioned solutions, which cannot be used in systems with a small number of secondary users or a system with large secondary user channel coherence, etc., and propose a wireless cognitive network. Adaptive random beam pattern selection method based on

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
  • Self-adapting accidental beam mode selection method of wireless cognition network
  • Self-adapting accidental beam mode selection method of wireless cognition network
  • Self-adapting accidental beam mode selection method of wireless cognition network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] The adaptive random beam mode selection method in the wireless cognitive network includes the following steps:

[0026] 1) have N t The cognitive network base station of the root transmitting antenna perceives the channel state information h of the primary user sen ;

[0027] 2) The cognitive network base station uses the transmit signal-to-noise ratio corresponding to the intersection point of the system curve of the opportunistic beamforming mode and the opportunistic space-division multiple access mode as the threshold value, and adaptively selects the transmission mode from the user network. When the transmit signal-to-noise ratio When the ratio is greater than this threshold, the capacity of opportunistic beamforming is greater than that of opportunistic space-division multiple access, and the base station selects the mode of opportunistic beamforming; otherwise, it selects the mode of opportunistic space-division multiple access;

[0028] Such as figure 1 As sh...

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 method for selecting a self-adaptive stochastic wave beam mode in a multi-antenna wireless cognitive network. A base station of the cognitive network constructs stochastic waves in a null space of a main user channel according to a certain signal-to-noise ratio (SNR) threshold, and transmits the stochastic waves by using opportunistic beam forming or opportunistic space division multiple access (SDMA). When the launched SNR is more than the threshold, the cognitive network is an inter-user interference limited system, the base station selects the stochastic wave forming mode of a single beam and selects the user which has the maximum received SNR from the sub-scribers as a current communication object; when the launched SNR is less than the threshold, the sub-scriber network is a noise interference limited system. The base station selects the opportunistic SDMA of multi-beams and then selects a plurality of scribers with the maximum received SNR from the sub-scribers as the communication objects, thus realizing the maximization of system capacity. The method of the invention provides a transmitting proposal supporting a plurality of stochastic wave beam models for the multi-antenna wireless cognitive network.

Description

technical field [0001] The invention relates to the field of wireless communication, in particular to an adaptive random beam mode selection method in a wireless cognitive network. Background technique [0002] With the development of wireless communication technology, users have higher and higher requirements for various data services, which makes the use of wireless spectrum resources more and more tense. How to effectively use spectrum resources has become a problem that has attracted many attentions. The report of the Federal Communications Commission (FCC) shows that most of the time, many licensed frequency bands are not in use. Based on this, the FCC first proposed the Cognitive Radio (CR) technology in September 2003. And released the first standard of CR in November 2004, and regarded it as a part of IEEE802.22 wireless area access network standard. A key idea of ​​the CR system is: when the slave user perceives that the master user is not using the licensed freque...

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
IPC IPC(8): H04B7/04H04L1/06
Inventor 陈晓明张朝阳王海洋杜维张建敏
Owner ZHEJIANG UNIV
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