Using Neural Network to Achieve Uplink and Downlink Fairness in Wireless Network
Date Issued
2007
Date
2007
Author(s)
Chen, Lu-Chien
DOI
en-US
Abstract
Today Wireless Local Area Network (WLAN) is very popular. Many people go to Internet, receive E-mail or play on-line game through WLAN. Most of WLAN devices are based on the IEEE 802.11 Distributed Coordination Function (DCF) [1]. However in Institute of Electrical and Electronics Engineers (IEEE) 802.11 DCF-based infrastructure WLAN, the opportunity of accessing wireless channel is the same for each mobile station and access pointer (AP). This feature will cause very serious unfairness problem between the traffic flow of the uplink and downlink, especially when the number of stations increases. In this paper we propose a powerful solution that using neuron network (NN) to solve this problem. Our solution is easy to implement at the AP side without the modification of the IEEE 802.11 standard. The simulation results indicate that our proposed method is not only to achieve fairness between the uplink and downlink traffic flow, but also to dynamic adjust the ratio between uplink and downlink according to the WLAN environment changing.
Subjects
無線網路
上傳
下傳
公平性
類神經網路
WLAN
uplink
downlink
fairness
neuron network
Type
thesis
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