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

WiFi control system based on neural network

A neural network and control system technology, applied in biological neural network models, transmission systems, digital transmission systems, etc., can solve difficult problems such as Wi-Fi controllers, and achieve the effect of providing network efficiency and user satisfaction

Inactive Publication Date: 2017-05-10
苏州蓝海飞讯信息科技有限公司
View PDF3 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Third, the new Wi-Fi standard supports multi-user simultaneous transmission represented by OFDMA technology, and traditional CCA management, interference control and other technologies are no longer applicable
Especially considering that the network environment may be ever-changing, it is difficult to design a suitable Wi-Fi controller in a traditional way to meet the needs of the next-generation Wi-Fi system (multi-architecture, high-density, multi-user)

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
  • WiFi control system based on neural network
  • WiFi control system based on neural network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0022] Such as figure 1 The shown a kind of WiFi control system based on neural network of the present invention comprises:

[0023] The neural network intelligent module is connected to the physical layer, MAC layer, video application layer and RF analog front end of the router respectively;

[0024] The neural network intelligent module collects and stores data from the physical layer, the MAC layer, the video application layer and the radio frequency analog front end; the collected data is used to train a multi-level neural network, and the present invention uses various idle data in the router Collect and process, carry out self-learning training through multi-level neural network, and then obtain the optimal control scheme, and the trained multi-level neural network directly sends control signaling to the router according to the subsequent collected data to control the change of its configuration parameters , to maximize the communication efficiency and utilization rate ...

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 WiFi control system based on a neural network. A neural network intelligent module is respectively connected with a physical layer of a router, an MAC layer, a video application layer and a radio frequency analog front end; and the neural network intelligent module acquires data from the physical layer, the MAC layer, the video application layer and the radio frequency analog front end and stores the data. Various data in the router are acquired and processed, self learning and training are carried out through a multi-stage neural network, and the optimal control scheme is then obtained. The multi-stage neural network which is well trained directly gives a control instruction to the router according to the subsequent acquired data, changes of configuration parameters are controlled, the communication efficiency and the utilization rate of the router are improved to the maximum, the WiFi control system of the invention can provide the control precision and the accuracy which can not be provided by the traditional method, the WiFi control system can also be used in completely different application scenes, and different training samples only need to be adopted for different application scenes.

Description

technical field [0001] The invention relates to a WiFi control system based on a neural network, belonging to the technical field of communication. Background technique [0002] As an emerging communication technology, wireless communication plays an increasingly important role in daily life. Today, most people are no longer unfamiliar with WI-FI technology. Wi-Fi can often be seen in public places such as hotels and coffee shops, as well as in the field of home broadband access. Traditional WI-FI systems originated twenty years ago. In the development process of these two decades, the physical layer technology of WI-FI has benefited from the increasingly mature multi-antenna technology and efficient coding and decoding technology, and has been fully developed. However, the MAC layer of WI-FI still uses the relatively primitive CSMA carrier sense technology. With the explosive growth of the number of users, the traditional CSMA carrier sense technology is gradually unabl...

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): H04L12/24H04W24/04G06N3/08
CPCH04L41/0816G06N3/08H04W24/04
Inventor 夏鹏飞
Owner 苏州蓝海飞讯信息科技有限公司