Application of Genetic Algorithms in the deployment and interference problem of 802.11AC AP

碩士 === 國立中央大學 === 通訊工程學系 === 101 === As the progress of wireless communications, IEEE 802.11 is no exception. IEEE (Institute of Electrical and Electronics Engineers)formulates new specification IEEE802.11AC in the past two years. 2.4GHz(ISM) of IEEE802.11n is almost saturated,and 802.11AC operates...

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Bibliographic Details
Main Authors: Yu-Mo Hsu, 徐羽模
Other Authors: Yung-Fang Chen
Format: Others
Language:zh-TW
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/38323070494169093049
Description
Summary:碩士 === 國立中央大學 === 通訊工程學系 === 101 === As the progress of wireless communications, IEEE 802.11 is no exception. IEEE (Institute of Electrical and Electronics Engineers)formulates new specification IEEE802.11AC in the past two years. 2.4GHz(ISM) of IEEE802.11n is almost saturated,and 802.11AC operates at 5GHz. In contrast, the signal has a smaller chance having interference. Nowadays, 802.11 AP (Access Point) is one of our necessary tools. It has three reasons:1.The cost is not expensive and everyone could afford the AP router. 2. Setting up is not complicated. 3. The throughput is good and the AP router can supply WLAN to users. Based on the above advantages,most organizations could deploy lots of AP router for local users. Everyone usually ignores channel interference problems. Sometimes, AP routers are interfered by other company’s AP or set up AP by their own selves, which causes weak WLAN signal or bad throughput. In this thesis,we use the genetic algorithm for solving the coverage problem in the deployment of AP routers. We calculate SINRs among APs for the radiation of AP routers. The AP router‘s channels are staggered. The simulation is conducted to verify the efficacy of the proposed method.