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

AP (access point) transmitting power optimization method based on energy conservation and interference avoidance in green WLAN (wireless local area network)

A transmission power and optimization method technology, which is applied in power management, energy-saving ICT, and energy consumption reduction. The effect of frequency interference

Active Publication Date: 2015-04-08
HARBIN INST OF TECH
View PDF3 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] The present invention aims to solve the problem of energy waste caused by the dense deployment of APs and overlapping coverage areas in the WLAN environment, and the mutual interference of the same-frequency components of the multiplexed APs during communication, which affects the communication quality.

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
  • AP (access point) transmitting power optimization method based on energy conservation and interference avoidance in green WLAN (wireless local area network)
  • AP (access point) transmitting power optimization method based on energy conservation and interference avoidance in green WLAN (wireless local area network)
  • AP (access point) transmitting power optimization method based on energy conservation and interference avoidance in green WLAN (wireless local area network)

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach 1

[0038] Specific implementation manner one: such as figure 1 As shown, the AP transmit power optimization method based on energy saving and interference avoidance in the green WLAN described in this embodiment is performed for APs that have been densely deployed in the WLAN, and it includes the following steps:

[0039] 1. Determine the number N of APs required for full WLAN coverage, that is, divide the total area of ​​the WLAN area by the individual coverage area of ​​each AP, and round up to get an integer N; this is an ideal value, in fact there will be a lot of overlapping coverage between APs In order to ensure full coverage, set the required number of APs to 4N, and then consider appropriately reducing the number of open APs;

[0040] 2. Establish a two-dimensional rectangular coordinate system, and cluster the densely deployed APs in the WLAN according to their geographical locations through a clustering algorithm. The target is 4N categories; then in each category, select t...

specific Embodiment approach 2

[0044] Specific implementation manner two: such as figure 2 As shown, this embodiment is a further limitation on specific embodiment 1:

[0045] Implementation process of AP transmit power optimization method: This process performs transmit power optimization control based on energy saving and interference avoidance for APs whose positions and numbers in the WLAN have been fixed. The present invention assumes that the AP generation power is continuously controllable. The following briefly describes the AP transmit power Relationship with coverage radius:

[0046] The channel transmission loss satisfies formula (1):

[0047] L(d)=|d| -n S(d)R(d)(1)

[0048] In formula (1), d is the transmission distance, |d| -n Is the path loss, n is a constant from 3 to 6, S(d) represents shadow fading, and R(d) represents multipath fading. It can be seen that the longer the transmission distance, the greater the fading;

[0049] The received power satisfies formula (2):

[0050] P r (dBm)=P t (dBm)+G...

specific Embodiment approach 3

[0073] Here is an example for analysis:

[0074] The schematic diagram of WLAN environment is as image 3 As shown, the wireless coverage area is 100m×100m, and 81 APs are evenly distributed inside. Take the initial coverage radius of the AP as: r=30m.

[0075] When each AP is turned on separately, the coverage area is: S cover =πr 2

[0076] Total coverage area of ​​WLAN experimental scene: S total =100×100=10000m 2

[0077] In theory, the number of APs required to complete full coverage:

[0078] In order to ensure full coverage, the number of APs in the cluster center is initially selected as 4N=16.

[0079] The 81 APs are clustered according to their geographic locations through the fuzzy K-means clustering algorithm, and 4N results and corresponding central node AP coordinates are obtained. According to the "Minimum Maximum Principle", when the number of APs selected to be turned on is 9, the full coverage is satisfied, and the following Figure 4 The shown schematic diagram o...

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 an AP (access point) transmitting power optimization method based on energy conservation and interference avoidance in a green WLAN (wireless local area network). The AP transmitting power optimization method is used for solving the problems of energy waste caused by the dense deployment of APs and the superposition of coverage areas, and the influence of common-frequency components on the communication quality in the WLAN. The AP transmitting power optimization method comprises the following steps of: determining the number of the APs required to be used for realizing WLAN full coverage according to the WLAN and the coverage range of a single AP with default transmitting power; clustering the APs with the dense deployment in the WLAN by adopting a fuzzy K-mean clustering method or a neural network method or other methods; selectively closing the majority of APs according to a clustering result, realizing WLAN wireless signal full coverage by the remainder minority of the APs, and forming an AP distribution structure simultaneously, namely, initializing an AP transmitting power optimization algorithm; repeatedly calculating the repeated coverage degree of each AP coverage area, and arraying the coverage areas; and controlling the AP transmitting power to reduce the coverage radius of each AP, so as to realize the purposes of energy conservation and interference avoidance of the APs.

Description

Technical field [0001] The invention relates to a wireless access point AP (Access Point) transmitting power optimization method in a green wireless local area network (WLAN) (Wireless Local Area Network), which aims to save energy, protect the environment and reduce the interference of co-frequency components, and relates to the WLAN technical field. Background technique [0002] The WLAN technology developed at the end of the 20th century is a product of the combination of computer networks and wireless communication technologies. It uses radio frequency transmission technology to transmit data and provide users with wireless broadband access services. WLAN does not need wiring, the network cost is greatly reduced, and the mobility is strong, these advantages make WLAN widespread. More and more offices, schools, homes, etc. begin to use WLAN. [0003] While WLAN provides convenient communication, it also brings energy consumption issues that cannot be ignored. Green WLAN adheres...

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): H04W52/02H04W52/18
CPCY02B60/50Y02D30/70
Inventor 马琳郑秀明徐玉滨卢洋莫云夏颖谭学治
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